SC Judgement, PDP Bill, and NPD Framework — The Saga Of Data Privacy In India

 

The base for data privacy and protection is crucial for an upcoming data-driven economy like India. India hosts almost 450 million Internet users and a consistent growth rate of 7–8%, as per Forbes. The transition to a digital economy is radically underway. However, this implies that the processing of personal data is already on the verge of becoming universal.

 

The population of mobile phone users in India has already crossed the 750 million mark. This number is expected to reach 490 million by 2022. Therefore, personal data and information become available in the public domain. Sources estimate that India has about 390 million millennials and about 440 million generation Z that follows millennials.

The Gen Z generation processes data faster. The most common use of this data is for mobile applications like Snapchat, Vine, and so on, apart from the usual popular social media apps. This leads to the creation of huge amounts of personal data for an individual — be it personal, behavioral, attitudinal, and financial. Which can essentially be used for both illegal and nefarious purposes, like what happened with Cambridge Analytica; Hence, data privacy will be of paramount importance in the coming years for governments across the world specifically to protect their citizens.

The IT Act 2000 — The First Ancestor Of Data Privacy

Under section 43A of the (Indian) Information Technology Act, 2000, a body corporate who is possessing, dealing, or handling any sensitive personal data or information, and is negligent in implementing and maintaining reasonable security practices resulting in wrongful loss or wrongful gain to any person, then such body corporate may be held liable to pay damages to the person so affected.

The Government of India has ratified the Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011. The Rules provide guidance against protection of “Sensitive personal data or information of a person”. This consists of such personal information which has information relating: –

  • Passwords
  • Financial information — Bank account or credit/debit card or other payment instrument information;
  • Physical, physiological, and psychological health conditions;
  • Sexual orientation
  • Medical records and history;
  • Biometric data.

Section 72 of the IT Act highlights the penalty for breach of confidentiality privacy. The Section provides that any person who, in pursuance of any of the powers conferred under the IT Act Rules or Regulations made thereunder, has secured access to any electronic record, book, register, correspondence, information, document, or other material without the consent of the person concerned, discloses such material to any other person, shall be punishable with imprisonment for a term which may extend to two years, or with fine which may extend to Rs 1,00,000, (approx. US$ 3,000) or with both.

While the IT Act 2000 was not officially cleared for regulating data privacy in India. It can be considered as the stepping stone which laid the foundation for future legislature.

The Supreme Court Ruling of 2016- Amendment Of Data Privacy In Aadhaar Act

In 2016, India amended its biometric identification system, known as Aadhaar. This enabled both the government and private entities to collect an individual’s ID number for any purpose. Human rights advocates had decried this as a violation of privacy. There was a lot of concern and growing uncertainty surrounding this authorization. However, businesses in India continued to require ID numbers for certain services. It was also used for the ID numbers for consumer profiling and targeted advertisements.

The Supreme Court of India amended the 2016 Act which enabled private businesses to ask for customer ID numbers for any purpose. The Supreme Court was required to ascertain the validity of the provisions of the Aadhaar Act. The objective was to verify if the act was contrary to the right to privacy. This was later established as a fundamental right by the Supreme Court in 2017.

Key Findings in the Judgement

The judgment was unanimous with all nine judges concurring with the final order. However, six judges — Justice Chandrachud, Justice Nariman, Justice Chimaleshwar, Justice Kaul, Justice Sapre, and Justice Bobde, wrote separate opinions covering a wide range of issues.

The key points of the judgment are summarized below:

(a) Privacy — A Fundamental Right

The Supreme Court confirmed that the privacy rights of an individual are a fundamental right. It does not need to be separately articulated. It can be considered as a derivative of articles 14, 19, and 21 as mentioned in the Constitution of India. It is a right that subsists as a fundamental consequence of the right to life and liberty. It protects a person from the scrutiny of the State in their home, of their whereabouts, etc.

The same applies to more personal choices like reproductive choices, food habits, etc.

(b) Necessary But Not Absolute Right

The Supreme Court also highlighted that the fundamental right to privacy is not absolute. It will always be subject to considerable restrictions. The State can declare restrictions on the right to privacy to protect justifiable State interests. This can only be done by following the three-pronged method summarized below:

  • Establishment of a law that rationalizes an encroachment on privacy
  • A legitimate State aim or requirement which ensures that the nature of the composition of this law falls is reasonably valid. It should also operate to guard against arbitrary State action.
  • The measures taken by the State are in tune with the objectives sought to be fulfilled by the law.

The Personal Data Protection Bill — India’s First Step To Legalize Data Privacy

Backdrop of The PDP Bill — How it came about

The Supreme Court observed during its judgment that privacy of personal data and facts is an essential aspect of the right to privacy.

Based on this, the Ministry of Electronics and Information Technology (MeitY) formed a 10-member committee led by retired Supreme Court judge B.N. Srikrishna. This committee was hence named the Srikrishna Committee. On 27 July 2018, the committee submitted an extensive draft which is now known as the Personal Data Protection Bill. India is now set to have a comprehensive personal data protection law. On 11.12.2019, MEITY introduced the Personal Data Protection Bill (PDP Bill) in Lok Sabha as Bill №373 of 2019.

 

The Birth Of PDP — India’s Data Privacy Bill

The PDP Bill seeks to provide for the protection of the personal data of individuals. It also intends to create a framework for processing such personal data. To do so, the bill proposes the establishment of a Data Protection Authority.

Key Takeaways of The PDP Bill

The following are the salient features of the Bill:

  • The PDP Bill is meant to improve data handling and data privacy in a way that is similar to the European Union’s GDPR.
  • The PDP Bill emphasizes the need to create a Data Protection Authority (DPA). This will be similar in fashion to the organizations present as part of the members of the European Union. The bill also defines the categories of sensitive personal data that require protection.
  • The PDP Bill defines ‘data fiduciary’. It also proclaims the various obligations for them. These are based on how they shall obtain, deal/process, and retain personal data.
  • If the PDP Bill becomes official, businesses would be required to inform users about their data collection practices. They would need the customers’ consent for the same as well. It would be their responsibility have to collect and store evidence of the fact that such notice was given and consent was received. The consumers would have the ability to withdraw their consent. This means that the businesses would have to design systems to allow clients to withdraw their consent on the same.
  • The PDP Bill gives consumers the power to access, edit, and delete their data after the same is processed to fulfill its objective. As such, the businesses would have to create ways to allow consumers to do so.
  • The PDP Bill enables clients to transfer their personal data. This can include any inferences made by businesses based on such data, to other businesses.
  • The PDP Bill mandates all businesses to make changes on an organizational level to protect data better.

How PDP Inevitably Led To NPD

The PDP Bill stipulates that the Central Government can direct a data fiduciary or a data processor to provide anonymized personal data or non-personal data.

This can be done “to enable better targeting of delivery of services or formulation of evidence-based policies by Central Government”.

It was based on this that in September 2019, MeitY formed a committee of experts led by the co-founder of Infosys — Kris Gopalakrishnan. The purpose of the committee was to draft a framework to regulate non-personal data (NPD).

The NPD Framework

As stated above, the Indian government is considering a framework to regulate non-personal data (NPD). The Committee released its report on 12 July 2020 for public consultation/feedback.

A Brief Overview

The NPD framework could affect the entire value chain just like PDP. The impact could range from creators of tech services and products to enablers and consumers. The NPD framework will require companies to obtain user consent. This has to be done before anonymizing data and using it.

NPD includes data generated through online transactions. These can be orders through delivery platforms or any online service. The data is anonymized and all personal identifiers are removed. This data is then harnessed to enhance the quality of service, ML algorithms, and other technologies.

Non-Personal Data Authority — The New Player

There is an apparent need to regulate the collection, processing, storage, and sharing of NPD. For this, the Committee recommends the formation of a separate NPDA authority. The details on the constitution of the NPDA need to be figured out.

As of now, the Committee has highlighted that the NPDA should have some members with relevant industry experience. The Data Protection Authority (DPA) under the PDP Bill protects personal data. Similarly, the NPDA is meant to protect the value of NPD.

The NPDA should work simultaneously with the DPA. The same applies to other sectoral regulators like the Competition Commission of India. The Committee also advises that NPDA should play the roles of both enabler and enforcer.

As an enabler, the NPDA should ensure that NPD is available for various social, public, and economic purposes. This applies highly to legitimate NPD sharing requests. Other areas include:

  • Regulate and supervise NPD sharing agreements between relevant stakeholders
  • Supervise the market for NPD.

As an enforcer, the NPDA should overlook the provisions for the proposed NPD legislative affairs. This will include:

  • Regulating Data Businesses
  • Mandating the sharing of NPD in certain circumstances
  • Setting standards and certifying frameworks, including for NPD sharing
  • NPD safety
  • Anonymization of PD.

Introduction Of “Data Business”

Under the NPD framework, the Committee advises that private and public sector entities who collect NPD be required to register as a Data Business. This will be dependent upon meeting certain criteria as per the guidelines of NPDA. For entities that do not meet these criteria, this registration will be voluntary. The Committee further recommended that this will be a one-time event. The process for registration will be lightweight and fully digital. The entities must provide details regarding their function. This includes the type of data they collect, process, and use. It also highlights the manner and purpose. To enhance the process, these disclosures will be made with respect to those relating to PD under the PDP Bill, if at all applicable.

PDP and NPD — Similar Grounds

Similar to the classification of personal data under the PDP Bill, the committee classifies NPD into 3 categories namely general, sensitive, and critical categories. The framework also necessitates businesses to obtain user consent before anonymizing even NPD. For example, A cab aggregator wants to aggregate rider travel data from a section of the user base to derive insights. In this case, it would need consent from each rider in the cohort. Execution of this is bound to create practical challenges for companies. It will make analytics a lot more complicated for tech companies as well.

 

To know more about PDP stakeholders and details, click here

Key Stakeholders of NPD — An Elaborate Overview

The Report lists the following roles for potential players within the NPD framework:

(i) Data Principal — In the case of Public NPD and Private NPD, this is the person (individuals, companies, communities) to whom the data relates. In the case of Community NPD, the community that is the source of the NPD would be the Data Principal. This is similar to the categorization of a data principal under the PDP Bill, in relation to PD, with Data Principals being allowed to exercise significant control and economic rights over their NPD.

(ii) Data Custodian — This is the person who undertakes collection, storage, processing, and use of NPD. Data Custodians may be public or private sector entities who process NPD such as government ministries, telecom companies, or e-commerce entities. Data Custodians must comply with requirements under the NPD Legislation, such as adopting prescribed anonymization standards. NPD must be used by Data Custodians in a manner that is in the ‘best interest’ of the Data Principal. They have a ‘duty of care to the individual or community from which NPD has been collected. This principle is similar to that of a data fiduciary under the PDP Bill, which lays down specific obligations to be undertaken by the data fiduciary with respect to the data rights of the Data Principal.

(iii) Data Trustee — This is the person through which a community exercises its data rights and who takes action to protect the community against any collective harm arising from the use of Community NPD. In most instances, the Data Trustee will be the closest and most appropriate representative body for a community and maybe a government agency at any level (such as the Ministry of Health for data on diabetes in India). However, it could also be citizens’ groups (such as residents’ welfare associations for local data), or civil society organizations. However, there is no clarity provided as to how a Data Trustee would be identified, the eligibility criteria for such an entity, or whether the community data principals play a role in identifying the Data Trustee, and this is to be provided under the NPD Legislation.

(iv) Data Trust — This is an institutional structure bound by rules for handling a specific set of NPD. Such trusts may hold NPD which may be voluntarily shared by Data Custodians, or mandatorily shared NPD on the basis of orders from the government or Data Trustees (as described below in Section 8). However, the Committee has provided very little insight as to how Data Trusts will function, including how such trusts will be constituted, who determines its members, and its role in the NPD ecosystem.

Impact Of NPD — What This Means For Businesses

Tech companies or organizations that meet the currently undefined threshold of collected or processed data will be considered ‘data businesses’ under the proposed framework.

Such businesses will be subject to a host of compliance requirements, including registration, monitoring of operations, and disclosure obligations. They will have to submit metadata about the data they collect to open-access ‘meta-data directories — essentially sharing data on the data they collect.

Based on the above, anyone can query the business for their dataset. Quite obviously, there is a fear that even small companies and startups processing data could qualify as data businesses. Another point of concern is that they will be subject to excessive compliance and data-sharing framework. This will increase operational and data storage costs and hinder the ability of startups to develop their services.

The proposed framework could hamper business prospects by imposing mandatory sharing and a higher compliance burden. Given the absence of a global benchmark for NPD regulation, proposing specific legislation and a regulatory body for NPD without adequate consultation may be premature.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com

Written By:

Signzy

Written by an insightful Signzian intent on learning and sharing knowledge.

Indian Insurance Sector

US Lessons for Indian Insurance Sector Automation

The Indian insurance sector is on the cusp of a transformative journey, with automation taking center stage. As the country’s financial landscape modernizes, insurers are turning to advanced technologies to streamline processes, enhance customer experiences, and reduce operational costs. Drawing inspiration from global practices, particularly from developed markets, the adoption of automation promises to revolutionize the way insurance is marketed, sold, and serviced in India, ushering in an era of efficiency and innovation.

In 2012, the Indian Insurance Industry was estimated to be US$72 billion in value. Within 9 years, in 2021 it soared to more than US$285 billion. The growth was nearly an increase of 300%. The credit to this rise lies in increased awareness among the people and better measures from the government.

In 2012, the US life and health insurance sector of the insurance industry alone accounted for US$645 billion in size. By 2021 this rose to nearly US$1.2 trillion. How they accomplished this feat is appreciable. There are things to understand and emulate from it. The biggest democracy in the world can learn how the biggest economy in the world handles its insurance industry.

This article delves into the current situation in the Indian Insurance Industry and how the US model of adopting technology through automation is a good guideline. The learnings can be used for not just handling the industry processes, but also accelerating the growth of the whole sector.

Traditional Methods And Automation In The Insurance Sector

 

While the financial value of the Indian Insurance Industry rose, so did the number of individuals availing insurance. From a mere 20 lakhs in 2012(0.2% of the entire population of 126.58 crores) to an exponential 50 crore(37% of the entire population of 136.64%) by 2021. There is no doubt that there is gain for the whole country. But the major takeaway from this for an insurer is the number of uninsured citizens. 86 crore is certainly not a small number.

The question here is why does such a huge portion of society not have insurance? In most western countries, a state-run medical system ensures the security of the health of its citizens. Thus, the need for medical insurance is minimal. Unfortunately, India can not afford to provide such a facility due to the massive size of the population. This results in individuals taking insurance policies for their life and health.

The citizens of India are not well aware of the need and benefits of insurance. Even the ones who are, find it difficult to access the versatile options insurers provide. Most documentations are not online and require hard copies. Most processing requires in-person interaction. Mediators and agents are sometimes unable to match the applicant to the right policy that will help them. And most of these important decisions are either left to the agent or the customers just pick the first policy that matches their current needs.

Overall the customers are not given much power in accessing or deciding what suits them best. Even if they find a good option, they are doubtful if it is the right option for them due to lack of clarity. Some may even drop the whole idea hoping nothing bad happens. Such a potential market is unused because their experience is not optimized.

How Has The US Insurance Sector Benefitted Using Automation

 

The US insurance sector is faring better than the Indian counterpart. This is despite the Indian Insurance Sector being superior with a growth rate of 12%-15% and the US falling behind with a 5% growth.

Having said that, health insurance claims fraud in India can be as high as 35% of the claims costs. This is less than 10% in the US. More than 75% of US citizens are covered under some sort of health insurance scheme. The strict regulatory initiatives from the government helps this. But the pivotal role is played by the measures the insurance companies take in protecting their customers.

Insurers protect their clients through increased security and safety while maintaining ease of access for them. The best way to do this is through applications of technology like Automation and versatile APIs. Automating the insurance industry includes implementing it from the get-go of applications to the rounds of claims approvals. Some of the ways in which automation helps the Insurance industry is given below:

  • Improved Data Management and Customer Service– Automation eases data management. This includes information transfer, new applications, claims status, etc. freeing employee times for more critical tasks. Along with this, as most transactions are online, the customer doesn’t go through the troubles traditional methods demand.
  • Online Documentation– Since automation uses softcopies of all documents, no physical effort or space is required for storing them. It is easier for the client to obtain and use these documents accordingly.
  • Better Compliance- Insurance companies can easily comply with existing and new regulations and compliance advice. The easy automation and online processing make it easy for the changes.
  • Enhanced Fraud Detection- Automation tracks all transactions and processing and call out any red flags associated with forgery or fraud. It can be more efficient and accurate at this than what a human element would have been able to do.
  • Reduced Processing Time- As most steps in traditional methods are avoided, automation reduces the total time required for application, data management, and even claims processes.
  • Increased Credibility- Customers find automated processes as no middle man can interfere with the pricing or the claims processing. Insurance companies find it reliable as no malpractice is missed and proper verification is done without unnecessary human interference
  • Better Claims Processing– discrepancies and disputes relating to claims are greatly minimized as a basic standard is set with compliance with regulatory guidelines. The claims processing is also faster than before as many unnecessary steps in traditional methods such as submitting forms manually.

Where Is India Headed And What Can Be Learned From The US?

India is on a journey towards automation. This is not just in the insurance sector but the financial industry as a whole. As more and more banks and financial institutions are transforming into online platforms, it is only sensible for insurance companies to adopt equivalent methods for themselves.

Even the Government is encouraging the embracing of technology. IRDA launched an insurance repository on 16th September 2013. It enables policyholders and insurance customers to obtain and retain dematerialized or electronic policies. Thus, their policies are kept in an electronic format in an account called eIA(electronic Insurance Account). IRDA prescribed four insurance repository entities:

  1. CDSL Insurance Repository
  2. Karvy Insurance Repository
  3. NSDL Database Management
  4. CAMS Repository Service

Unfortunately, the major players in the industry are still reluctant in adapting to the new ways. Despite, the government’s reforms, many insurance providers still use hard copies of documents and multiple in-person verifications for applications and claims processing.

What the US did with their insurance industry is similar to what they did with their banking industry. They eliminated the steps in processing that are unnecessary or over-resourced. They specifically found the areas that had repetitive work and transferred the responsibility of their execution to an automated source. This in essence saved time, resources, and money.

What the Indian insurers can do in the initial stages is to make use of APIs for online applications and transactions. With Robotic Process Automation(RPA) the processes can be made more efficient. RPA is used to evaluate applications and documents for forgery, credibility, and validity. It is also used to obtain and retain necessary data associated with respective scenarios.

With advancing technology, even AI can be used for insurance process automation. But there are considerable roadblocks for that. The regulatory norms by the government still demand a human evaluation during claims processing. In time, this might change and more advanced technology might find its inroads into the Indian market.

Conclusion

Tapping into the untapped Indian Insurance potential is lucrative. Many companies understand this, yet do not acknowledge it. Indian customers primarily look for inexpensive and comfortable services. With automation, both these demands can be met. Additionally, such a step will provide financial benefits in the long run.

Adapting to modern times is inevitable in the world of cut-throat competition. The Indian Insurance Sector is becoming a cut-throat battlefield for many smaller companies. To stay ahead of the curve, it is wise to adopt newer technology that requires lesser efforts and more benefits.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com

Written By:

Signzy

Written by an insightful Signzian intent on learning and sharing knowledge.

Demystifying IPA For Finance

In a digitally advancing world, the need for automation is more than ever. This is mainly due to tech-savvy fintech and a surge in the demand for personalized user experience. Today, Intelligent Automation holds the power to accelerate growth. This can be done by integrating robots to digitize processes and systems.

What do we mean by Robots?

Robotic Process Automation (RPA) has been widely used by institutions. However, Intelligent Automation (IA) has been gaining the likes of organizations recently. Intelligent automation combines Artificial Intelligence(AI) and Process Automation to create smart workflows and business processes that think, learn and even adapt on their own. It and its modified forms are called Intelligent Process Automation(IPA).

Across financial institutions, IA has already helped companies drive productivity. This has been achieved by processing a range of structured and unstructured data.

However, the thought of shifting the burden of responsibilities to a robot might be an uneasy one. So without any further ado, let us burst the huge bubbles around Intelligent Automation in the financial sector.

Identifying Roadblocks And The Need Of IPA In Finance

Financial institutions deal with a lot of unstructured data from various sources. Manually processing this could be time taking. This also adds to the chances of error accounting to loss of the institution’s time and resources.

  • Gartner’s research report on RPA shows that organizations had 80% of their data unstructured. It states how processes that are most suited to RPA have a high transaction throughput of structured digitized data. This comes with relatively fixed processing paths and/or user interfaces. They do not change frequently and are rule-based activities.
  • Moreover, the banking experience must be customer-friendly. Providing a hassle-free and quick solution is a must. Leveraging IPA improves the institutions’ productivity. It also makes it customer-centric. This helps banks drive massive success.
  • IPA can process even unstructured data. It improves the accuracy & eliminates chances of manual error. It can also help to validate customer requests by accessing emails and other relevant data.
  • At the same time, it can process digital signatures and open bank accounts within minutes. It can execute transactions and account transfers and update the customer data into the CRM system.

Revolutionizing Banking and Financial Institutions Using IPA

 

Let us now see the applications of IPA and how it is transforming the banking and financial institutions.

Commercial lending operations: This life cycle starts with onboarding a corporate client. NLP, ML, OCR, and RPA can be leveraged to extract data from structured and unstructured loan documents and automate the entry of client data. This helps in the calculation of risk and loan eligibility. IA in commercial lending operations is a powerful and effective way to reduce costs. Along with this will help in improving controls, quality, and scalability.

Trade operations: Trade operations require multiple systems and high levels of documentation. IA can be used in several stages to extract data from different sources and formats. It also helps in identifying patterns and classifying the extracted data to get optimal results. IA can also be used in monitoring trade activities. Optical Character Recognition (OCR) technologies, as well as Artificial Intelligence (AI) algorithms, provide end-to-end automation of Trade Finance processes. Systems can improve their accuracy and spot red flags optimizing the use of capital. This can be done through supervised and unsupervised learnings,

Regulatory and compliance operations: There are several regulatory and compliance requirements in banking. This leads to high operational efforts, time and cost. Automation tools can be embedded in several processes. For example, data mapping and other labor-intensive processes. IA can be used to pick up KYC customers and automate the data into AML screening solutions. This can significantly reduce the cost and efforts of compliance operations. This will also help institutions overcome the challenges of inconsistency in data. This inconsistency is due to the long process and the chances of human errors. Several documents available in different formats can be collected. These can be further processed using NLP and OCR technologies.

Transaction screening: An ML engine can identify suspicious patterns and automatically remove them. It can also leave an audit trail of every bot decision for compliance reviews. This significantly reduces operational effort. IPA reduces variation in recording data improving consistency and accuracy. At the same time, it can continuously learn and improve quality over time.

Payment operations: Intelligent automation reduces the manual effort to investigate payment issues. ML can be used to identify a pattern in the payment processes of the customers. Issues related to payment processing can be fixed and suspicious transactions can be identified.

Manual labor is required to process and reconcile invoices. It is also needed to purchase orders in multiple formats. These can be simplified.

Customer Onboarding: The process of KYC collection and verification can take up to 24–30 days. Embedding IA in workflows speeds up the onboarding process. It brings the turnaround time to 2–10 minutes. Relevant data is extracted from the customer’s documents. Then an extensive background check is done by the system. Advanced analytics also help in assessing the potential risks. This also helps in providing a smooth, hassle-free customer experience.

Extending Support To A Wider Spectrum

IA helps banks and FIs stay competitive. It also helps evolve in terms of customer relationships. The capability of IPA solutions to self-learn based on a given set of rules is what makes it unique. Let us look through some other aspects where IA can extend its support.

Predictive analysis- Technology and several statistical techniques can help institutions. These can collectively make a better prediction about the forthcoming future events. Data mining, machine learning, and predictive modeling can help in analyzing the data. It can also gather facts from the present and the past to make better predictions. Incorporating IA with predictive analysis would ease the processing of the data collected. This will collectively improve automated end-to-end decision-making.

Fraud Detection- IA can prove to be critical for anomaly or fraud detection. IPA is capable of processing even unstructured data. Due to this, gathering transactional or other relevant information related to the identity verification of the user will become much simpler.

This collected data then can do an extensive background check of the said user. Any suspicious or fraudulent activity will be notified to the institution. Automating this process reduces the manual labor and time taken. It also increases the accuracy. It can also be used in online, credit/debit card transactions.

CRM systems- Customer relationship management (CRM) systems are useful tools. They help sales employees stay updated with their customers. Automating the update of the system will save the precious time of employees. It also increases accuracy. Employees working in the sales function can focus on maintaining customer relationships. Unstructured data saved in various formats can be processed using IPA.

Tech support- In a digitally advanced world, simpler customer interaction is a must. IA can help solve simple issues. Ex: password resets. It can also diagnose issues by asking a series of questions. This saves the institution’s time and also improves the overall customer experience. Incorporating such technologies will help address the grievances faster saving manual labor.

Financial reports- Aggregating data for financial reports can be a tedious task. Ex: Data on quarter-end. Gathering, processing data from different sources and formats can be made simple and faster with IA.

Benefits of Applying Intelligent Automation In Finance

 

IA tools can perform a series of tasks ranging from basic data entry to complex risk analysis. IA tools can also be leveraged for dynamic feedback learning. It is also useful for identifying patterns and detecting anomalies. Institutions can benefit from the application of Intelligent Automation in the following ways-

  • Reduction in manual efforts- Incorporation of IA can reduce the manual grunt work. Automation of structured and unstructured data processing reduces the burden on employees. It also eliminates the scope of manual error.
  • Increases productivity- Employees can then focus on higher priority tasks. This is because time taking tasks are automated. This will improve both the quality of work as well as the work-life balance of the employees
  • Better Customer Experience- IA allows institutions to track the progress of work at every step. This end-to-end audit trail is beneficial in optimizing results, thereby making the customer experience far better.
  • Reduced operational costs- Digitization ensures better risk assessment and assists in faster decision-making. The processes are executed efficiently at a higher speed. This creates a great value for resources.

Conclusion

Intelligent Automation can be incorporated into many such labor-intensive processes across various sectors. It can help in identifying the sources of inefficiencies. It also ramps up productivity effectively. Fintech providers are emerging with simpler solutions with applications that improve customer relationships. Implementing IPA will allow institutions to significantly reduce risks and improve decision-making. Manual resources can then be used to work on high-quality optimal tasks.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com

Written By:

Signzy

Written by an insightful Signzian intent on learning and sharing knowledge.

Digital Onboarding in Life Insurance Sector

Digital Onboarding in Life Insurance Sector

The Life Insurance sector, historically reliant on paper-based processes and face-to-face interactions, is undergoing a transformative shift with the adoption of digital onboarding. This digital evolution not only streamlines the cumbersome enrollment procedures but also caters to the modern customer’s demand for quick, hassle-free experiences.

Life insurance policies play a crucial role in the insurance industry. The Insurance Regulatory & Development Authority Of India (IRDAI) is the regulatory body for all insurance companies in India. IRDAI has now allowed the use of paperless KYC collection or e-KYC. To enable this, the government has allowed insurers to avail the Aadhaar-based authentication services of the Unique Identification Authority of India (UIDAI)

Life Insurance Companies can use KYC For Fraud Prevention

Insurance fraud is a reality in this day and era. Many people who commit such frauds do so without realizing that their actions result in higher premium rates that have to be paid by other people. On average, insurance companies lose around $30 billion every year on account of fraud. The costs of these frauds are levied upon innocent, hard-working people. The necessity for fraud prevention systems in the industry is the need of the hour.

Moreover, the smaller cases are most harmful as they get ignored. After a while, they add up to become a cumbersome amount. Background checks are conducted in the insurance industry as they can single out money launderers, if not the fraudsters. Most people who engage in insurance fraud use fake or stolen identities to execute their schemes. As we proceed with the article, we will point out how KYC services providers can assist the insurance industry.

Frauds Mitigation Through KYC For Insurance

There are many types of frauds that happen with life insurance companies. However, some can be easily avoided by applying secure processes.

Fronting: The insurance policy is taken out using the details of another person to get favorable terms such as lower rates on premiums. Criminals or fraudsters usually use this process to carry out their scams. They use fake or stolen identities to identify themselves as someone else. Then they proceed to create fake documents to support their taken identity. KYC service providers can isolate such attempts and prevent them from happening.

Money Laundering: This is a global problem. Insurance companies too are a common target to launder money. The products offered by insurance companies are easy to target for fraudsters. This is because the processes that are associated with them make it easy for money laundering. Life insurance policies are extremely tempting to money launderers. This is because they allow for heavier premium deposits. Money Launderers take out such policies and deposit large amounts of money while canceling the policies after a while. KYC service providers conduct conclusive background checks. This helps prevent these types of frauds.

The KYC Screening Process

For a productive business, corporates require to deal with the right people with beneficial and favorable intent. Sectors that are particularly in the profession of handling money need to be careful. They must be sure that they are dealing with genuine entities. This is why the life insurance sector has to adhere to KYC norms mandated by their respective regulatory bodies.

As part of the Anti Money Laundering Act, KYC norms help in ensuring that the entity in question has an authentic identity. It is made sure that the source of money is not a shady one. The money would not be used for fostering any criminal activity either.

If we take the life insurance industry as an example, insurance companies deal with three entities-

  • the insured party
  • policy taker
  • agent.

All these entities need to be KYC screened.

Insured party — this is the entity on which the insurance policy is being taken making it imperative to be checked for authenticity. There have been instances when insurance policies have been taken on non-existent or fake identities or on persons who no longer exist. There also have been times when the policy is taken by tweaking a few pertinent details of an individual. The goal of KYC screening is to avoid such a situation.

Policy taker- the entity who is taking a policy should be eligible for taking such insurance. This is the rationale behind screening policy takers.

The insured party and the policy taker are screened with the same method. Their identity proofs are examined for authenticity and the specified address is examined by paying a site visit.

Agent- Insurance companies depend on agents to generate business. An agent is the one who markets the insurance products to individual customers. Agents also educate customers about various products and help them choose the most suitable one. Subsequently, they are also expected to provide all sorts of assistance in taking the policy, paying the premium, and receiving the insured amount when required. Given this significant role, insurance companies are extra cautious about their appointment of agents.

Drawback Of The Current KYC Process

Multiple insurance companies struggle to deliver digital experiences. This is because legacy applications are the most common obstacle for digital transformation. Onboarding a customer in lesser time with due diligence is a challenge.

The existing onboarding process for most insurance companies is similar to the following:

  • Customer lands on company website
  • Selects insurance type and plan
  • Fills-in Occupation, income details, and PAN details as (ID proof).
  • Life-cover details: pre-filled form
  • Basic Info: partially filled form
  • Customer Identity undergoes verification
  • Customer must enter Lifestyle-associated details
  • The customer fills the Nominee details

With digital KYC, the following areas can be addressed for a smoother customer experience::

  • Form filling is smooth
  • Liveliness check ensures more sanity
  • Telemedical video conference eliminates back and forth.

Digital Onboarding — Need For Digitization In Life Insurance

  • Industry analysts and large consulting firms claim onboarding is a top priority for digital transformation efforts across the insurance industry. After all, bad onboarding can increase customer attrition rates by between 25 and 40 percent, according to The Financial Brand.
  • Industry analyst firm Celent emphasized the need to focus transformation efforts on onboarding. In its November 2018 report, it also talks about industry trends for wealth management firms.
  • In a study by Bain & Company, customers who use digital channels tend to be loyal to their banks. Digital banking customers tend to own more products, and they transact and engage more with their banks. Mobile-first customers contribute to higher loyalty scores to their primary bank. This in comparison to the clients with low digital behavior. Globally, it is 50% higher approximately.
  • As noted by Argo executives at the InsureTech Connect conference in October 2018: “Customer acquisition is just the beginning. How you deliver value to customers — that’s the real benefit to them in this ecosystem. We’re trying to create a better experience for everyone we engage.” That means a better onboarding experience.

Major Challenges in The Life Insurance Onboarding Process

 

Fragmented signup process — There may be some customers who are unable to complete the signup process in just one session. Ideally, the onboarding process should track progress and let them stop. The process can later restart onboarding effortlessly, from where they left off.

Complex information requirements — Several industries have complicated data requirements and strict compliance regulations. Instances can be financial services, healthcare, and government. State or regional rules frequently oversee the information that needs to be gathered as well as the format. In general, customers have to sift through forms with irrelevant questions. This leads to a struggle to comprehend the exact requirement from them. This often results in high NIGO (not in good order) scores.

Multiple channels and devices — It is possible for customers to choose to onboard across multiple devices, or even via a call center. However, the experience is often inconsistent. Enterprises must provide clients with an integrated and seamless experience on each channel.

Paper-based processes — Many business processes require customers to complete and sign paper forms. They can either scan and fax or even worse, mail them back. No one enjoys this tedious and time-consuming effort, either externally or internally.

IRDAI Existing Guidelines For Life Insurance

  • Every insurer in the life insurance business must provide customized benefit illustrations to proposers or policyholders at the point of sale for all products. The exception can be to those issued under IRDAI (Micro Insurance) Regulations, 2015, Guidelines on Point of Sales (POS) — Life Insurance Products, 2016, and IRDAI (Insurance services by Common Service Centres) Regulations, 2019 as amended over time.
  • Such benefit illustration shall have to be signed by the prospective policyholder as well as the insurance agent. The signatories may also include the authorized person of an intermediary. Another alternative can be to include the insurer involved in the sales process, as the case may be, This should form part of the policy document.
  • Further, the benefit illustrations should be constructed as per the specific format prescribed by the IRDAI. The circular contains annexures specifying formats for these illustrations. These apply to different types of policies.

Need For Digital KYC — New Guidelines By IRDAI

Life insurance policy buyers will soon be able to complete KYC through a paperless process or e-KYC. This requires providing Aadhaar number as proof of identity to insurers, as per an IRDAI press release. This would make the Know Your Customer (KYC) process much easier for policy buyers.

This e-KYC will also be very useful in the current lockdown in the country. The government has allowed insurers to avail the Aadhaar-based authentication services of UIDAI. This can fulfill the KYC norms of policyholders.

The IRDAI press release, issued on April 24, 2020, mentions new KYC norms while availing insurance services. These norms will facilitate the general public to easily fulfill.

The release further states that the interested customers/policyholders/claimants may avail paperless KYC services in the coming days from the following insurance companies:

List Of Insurance Companies

  1. Bajaj Allianz Life Insurance Company Limited
  2. Bharti AXA Life Insurance Company Limited
  3. Exide Life Insurance Company Limited
  4. HDFC Life Insurance Company Limited
  5. ICICI Prudential Life InsuranceCompany Limited
  6. India First Life InsuranceCompany Limited
  7. Max Life Insurance Company Limited
  8. PNB Metlife India Insurance Company Limited
  9. SBI Life Insurance Company Limited
  10. Future Generali India Life Insurance Company Limited
  11. Reliance Nippon Life Insurance Company Limited
  12. Aegon Life Insurance Company Limited
  13. Shriram Life InsuranceCompany Limited
  14. Aditya Birla Sun Life Insurance Company Limited
  15. Pramerica Life Insurance Company Limited
  16. Kotak Mahindra Life Insurance Company Limited
  17. Star Union Dai-ichi Life Insurance Company Limited
  18. IDBI Federal Life Insurance Company Limited
  19. Edelweiss Tokio Life Insurance Company Limited
  20. Canara HSBC Oriental Bank of Commerce Life Insurance Company Limited
  21. Kotak Mahindra General Insurance Company Limited
  22. Future Generali India Insurance Company Limited
  23. Manipal Cigna Health Insurance Company Limited
  24. ACKO General Insurance Limited
  25. Religare Health InsuranceCompany Limited
  26. Royal Sundaram General InsuranceCompany Limited
  27. SBI General InsuranceCompany Limited
  28. HDFC Ergo General Insurance Company Limited
  29. HDFC ERGO Health Insurance Limited (Formerly Apollo Munich Health Insurance Company Limited

KYC For Agent Assistance — How Digital KYC Helps

Agents are the fundamental constituents and the first step of the customer towards the onboarding journey. Insurance agents introduce customers to the various products on offer by a life insurance company. They also clear doubts and confusions of the customer and in many cases, collect the KYC for a new customer.

Given below are some highlights on why digital KYC can help insurance agents:

Client identification

The first step which involves identifying the correct name of the entity is a bigger challenge than most people would expect. A significant amount of time is wasted when front office staff or partners provide compliance with details, but of the wrong legal entity.

A common example is a deficiency of understanding in the front end around corporate structures. When a sales rep embarks on a new relationship with an entity, it’s easy for them to use the wrong name. It is very frequent for the holding company to not have the same name as the brand or branch with whom you are engaged in communication.

Initial risk assessment

This is a preliminary setup using customer-provided demographics to assign an initial risk rating, such as high, medium, or low. Such information can contain :

– director and shareholder details

– company incorporation documents

– a basic risk screen to identify major red flags, like sanctions.

Based on the top-level information provided on the client, it is easy to assess the level of risk they can inflict on your organization. However, not all customers will be high risk. With digital KYC, there is no need to dedicate time and resources to performing unnecessary due diligence steps which makes for an inefficient process.

Manual verification

Manual verification is a part of most traditional KYC processing workflows. They are multiple scenarios in which these aren’t the most efficient. Several agents have to go through several documents, make sure the information is correct and check for fraud. Humans aren’t anywhere close to being as fast as computers. Automating this process can mean a lot of time and money saved for the company, a higher rate of onboarding, and better employee satisfaction. ‌‌Digital KYC can thus help remove the cost and time involved without any additional requirements from the agent side.

Authenticity of Agent

The primary channel through which insurance is sold in India is with the insurance agents. To increase the numbers for sales, agents may end up selling the wrong products to the clients. In such cases, agents do not provide complete information to the customers. This ultimately leads to customers who don’t get the best product. The consequence is a poor customer experience which is a loss for the industry. With Digital KYC, the insurance information can be identified. These cases can then be isolated to prevent further misuse by agents in the future.

Innovating Life Insurance with Digital Onboarding

For easier onboarding, Signzy has developed 2 unique Digital KYC solutions — RealKYC & VideoKYC.

With RealKYC, remote onboarding of new insurers is no longer a hassle. There are many benefits to RealKYC in the life insurance sector as follows:

  • Zero Paperwork: With RealKYC, customers can easily upload their KYC documents and IDs to the system. No need for making physical copies for manual submission.
  • Policy In Minutes: With RealKYC, customers no longer need to wait endlessly for the verification process to be completed. Get your life insurance policy active within minutes.
  • Easy Form Filling: Real-time data pre-population to eliminate manual form filling for submission of new claims.

VideoKYC has gained a lot of attention recently and has been the winner of multiple awards and accolades. With VideoKYC, you can get the following advantages:

  • Proof Of Life: With real-time in-person verification, insurance companies can easily establish ‘proof of life’ of the insurer from time to time.
  • Lesser chances of claims fraud: VideoKYC uses a host of Signzy’s proprietary APIs to verify all official documents and financial statements to mitigate potential claim frauds.

Conclusion

The fact that Digital KYC can be used for fraud prevention and to build trust is evident. Along with this, proper implementation will create a reliable and better onboarding process for the customers and the companies. This can be a boon for the Insurance Sector in India.

The operative word here is ‘proper’. Such an innovative idea demands excellent execution. That can be achieved by collaborating with credible associate companies and startups. If the insurance companies acknowledge this and process it, they will thrive in the booming Indian insurance sector.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com

Reach us at www.signzy.com

Written By:

Signzy

Written by an insightful Signzian intent on learning and sharing knowledge.

Car Insurance

Car Insurance: Embracing API, RPA, and AI

Car insurance formed 39.4% of all non-life insurance markets in India combined. A major reason for this is India’s swiftly expanding Automotive industry. Automobile sales in India have risen to a 7.01% CAGR between 2013 and 2018. This constitutes the sale of nearly 25 million vehicles in 2018 alone.

The growth in the industry is not going to wane any time soon. But the competition in the field is not getting any easier either. Each Insurer is trying to offer better rates and offers for the customers.

This will be a chance for Insurance institutions to grab a bite of the impending opportunity. They should use every trick they can find to increase customer satisfaction and decrease costs. And the best in the quiver is automation of the entire industry. Automation brings forth other advantages like better customer experience and lesser processing time. This article has a detailed look at how companies can do it and how a few are already doing it.

The Growing Indian Automobile Market And The Potential It Holds

Motor insurance unlike most other insurance options is mandatory. It is used to insure any type of motor vehicle, be it two, four, or eighteen-wheeled. This is for our safety and the safety of others on the street. They do not just cover the motor vehicle but also to an extent, the health care of the individuals involved.

In 2019 India became the fourth largest automobile market superseding Germany with nearly 4 million units sold. By the end of 2021, the country is expected to ascend to 3rd place displacing Japan. Domestic production increased by 2.36% CAGR between 2016 and 2020. All this reinforces the incredible growth of the Indian market.

Unfortunately, A large number of vehicle owners in India are not renewing their insurances because of Insufficient enforcement, Substandard follow-ups by insurers, and increasing third-party cost covers.

The Insurance Information Bureau reported that the ratio of uninsured vehicles increased from 54% in 2018 to 57% in 2019. This implies that more than 13.2 crore vehicles on the street are uninsured. For a country with nearly 50 lakh registered accidents, that’s a lot. The operative word here being ‘Registered’.

The bulk of the uninsured are two-wheelers and vehicles bought at lower cost points. We can infer that owners in this segment consider even the current prices unaffordable. If the prices can be lowered by the insurers, it might will help bring in more customers.

The Existing Claims Process In The Vehicular Insurance Industry

 

The automobile insurance sector has been afflicted with immense pricing competition, high costs of acquisition, sparse product innovation, fraud, and abuse in vehicle repair networks. Although this has changed over the past decade, many insurers consider cost control to be a solution over better risk selection methods. This might not be the general norm, but it is a possible option many opt for.

In India automobile insurance is classified into primarily three categories:

  • Private Car Motor Insurance- all privately owned cars and four-wheeled vehicles.
  • Two Wheeler Insurance- constitutes all two-wheeled vehicles like motorcycles and scooters.
  • Commercial Vehicle Insurance- includes trucks, taxis, and other commercial vehicles.

Discounting some major corporations, most insurers in India still onboard their customers and provide services in the traditional ways of the past. This not only does produce a bad customer experience but also increases the cost and time required. Physical applications are obtained and processes are conducted in person expending hours of both the agent and the customer.

The insurance claims process is a brutal experience for many customers as multiple documents have to be submitted multiple times to prove their claim. These documents range from the basic policy number to the copy of the vehicle inspection address details. This is tedious and cumbersome for the clients.

There are three major types of claims:

  • Third-Party Claim- covers any damage to third-party property and healthcare.
  • Own Damage Claim- covers any damage to your property and healthcare
  • Theft Claim- Covers compensation in cases of the vehicle being stolen.

The processes for each vary vastly and are confusing to the customer. A systematic method of maneuvering these hurdles is lacking and would help enhance customer experience.

 

Claims Automation- How Will identity verification API Change The Process?

Traditional methods for verification demand manual assessment and submission of these photos and documents by claims officers. In which case, automation is entirely absent. It may take some hours or even days to assess the extent of damage. Claims automation makes the process require lesser effort from both parties. Most documents can be submitted in soft copies and identity verification API is used to validate and obtain data from them.

This helps insurance inspectors or concerned personnel to fast-track their processes. They can immediately store and retrieve data regarding the case through an online database system. This database system is usually composed of identity verification API that can be selectively used.

In advanced markets, RPA and AI are used for even evaluation and the validity of the claim. In a prime market like India, such innovation requires some more time. But eventually, the process will become completely automated.

Even documents are captured and processed with the help of identity verification API. The credibility of this process is better as the process is performed through strict automation avoiding human errors. The entire process can be simplified with a smartphone application for the processing. In the Back office, the assessment data is analyzed through human intervention. This double-checks the process and ensures the lack of any error.

Advantages and Disadvantages of Automation in Car Insurance

Automation through RPA and AI brings forth multiple advantages for the insurers and the customers. But a detailed insight is needed to have a better understanding of how exactly it benefits the sector and where it could have some improvements.

The Advantages of Claims Automation in Automobile Insurance include:

  • Time for claims processing is reduced from 5–10 days to a matter of minutes as identity verification API is used to process documents, images, and other data for verification and validity of the claim.
  • More number of claims applications can be processed as the time and resources required for assessment of each is drastically reduced.
  • The overall cost for the insurers is reduced as time and resources are considerably reduced. This in turn decreases the overall expenses which can either be added to the company profits or used to reduce the cost of premiums. Thus, attracting more customers.
  • Automation enhances efficiency and develops cutting-edge equity in the procedure.
  • As the assessment and processing are not prone to much human error the credibility is increased in cases of disputes and disagreements. This gives more validation to the insurers’ stance.
  • The efficient automation processing prevents fraudulent claims. As it is much harder to fake an accident or other modes of fraud like fake documents, fraud rates can be reduced to a great extent.

Unfortunately, the current automation methods have not reached their absolute potential. Due to this, they have certain areas of improvement that need to be addressed. Some of them are:

  • It is still not fully automated. Thus, human intervention to an extent is unavoidable. Perhaps in the future, this too shall be solved.
  • Assessment is still manual as the claims officer must perform this manually to an extent. This is something that can be improved in the future
  • Proper management of Cloud data storage and IT security is needed in Automation. The system must be foolproof for hackers and external disruptors.

Conclusion

The booming automobile industry is a lucrative opportunity for insurance companies. But with the newer norms from the government, the competition is only set to increase. As mentioned before, tackling this requires newer methods for processes. Is it not obvious that automation is a better path to take from the stagnating anchors of traditional methods?

Automation through identity verification API, RPA, and AI will create a smoother and easier experience for the claims processes. Its credible assessment and processing of claims bring more validity to the insurers. Overall the industry is set for a change through this. Some of the insurance companies in India like the IFFCO Tokio General Insurance Company Limited have adopted AI to a whole new level. But this is not the case with existing insurers in the automobile industry.

While embracing the perks of Automation, we must acknowledge one other factor. Automation is evolving. This evolution helps in making the processes and in essence our lives more comfortable. Hence, all the players in the industry are predestined to adapt to technology or fall in the coming age of transformation. The right choice is easy to see, but to accept is a bit more tricky.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com

Written By:

Signzy

Written by an insightful Signzian intent on learning and sharing knowledge.

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