AI

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6 min read

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June 23, 2021

Simplifying CKYC: One KYC record to rule them all

Web and Mobile SDKs ensure that users can be onboarded on any device. To save developers’ time, we’ve made it super simple to integrate with just a few lines of code.

Certainly we have been seeing a deluge of news, hype and information about everything getting decentralised. The crypto-movement should probably be credited for this, however as much as we love hearing this, it is worth acknowledging that there are various use-cases where unification (over centralisation) accelerates the digitisation process.

A very simple instance of this would be oAuth. *Login via Google* or *Login via Facebook* has clearly improved product funnels across so many products round the globe. A second example would be having your credit cards stored with your favourite online portal so that you don't have to go through the process of entering card details over and over again. In both cases, the benefit of avoiding a few mundane actions trumps users' concerns of centralising their data with a trusted provider.

At the core of this concept, a rather simple insight would be -

"Most users choose convenience over privacy when they are subjected to cognitive load enhancing workflows."

A classic case of this behaviour is what we observed in the signing up process of digital financial services. The onboarding or the registration process is at the heart of the offering of any online financial product. On average, the typical Indian consumer signs up for at least 3-4 financial products offline or online. Every time they do so, they have to go over the cycle of verifying their identity. This is a frustrating process for the user.

Indian regulation in the fintech domain has earned good reputation particularly with UPI but this problem of repeatedly proving your identity was duly acknowledged by the regulator and acted upon as well. Imagine doing your KYC once and then becoming a verified consumer - a common KYC record.

Enter CKYC

This gave birth to CKYC under CERSAI. Every time you complete your KYC with a financial intermediary, your details are verified and get uploaded to a central repository. You get a 14 digit record number that you can use elsewhere.

Central KYC Registry is a centralized repository of KYC records of customers in the financial sector with uniform KYC norms and inter-usability of the KYC records across the sector with an objective to reduce the burden of producing KYC documents and getting those verified every time the customer creates a new relationship with a financial entity.

The flow is pretty simple -

  1. Collect the users' PAN
  2. Lookup in the CKYC database for a match with PAN
  3. If you find a match, you get direct access to a users' KYC details
  4. Typically, intermediaries re-verify the information they receive for their reference purposes.

Every record returns a zip file and an XML file. The following information is present at the minimum -

  1. A photo of the consumer
  2. OVD copy - An officially valid document for e.g. Aadhaar or Voter ID
  3. PII details in the XML

We have seen records where there are up to 15-160 elements that need to be addressed in some form or the other.

Financial intermediaries process, validate, and store some of this information without the end users' intervention to give them a happy registration process.

Comparative Analysis of different types of KYC in the Indian landscape

Here come the challenges

When it comes to regulation and compliance, it is always black and white in spirit but varied hue of grey in practice. With new compliance, there will be different challenges and CKYC is not so different.

Perceptions around the hit rate

Many intermediaries have been not prompt in complying with this regulation. The chances of finding a specific user's record has had issues in the past. This number has significantly improved in the last year or so but there are perception issues around the proportion of consumers who would already have a record in the CKYC registry.

Through the experience with our clients, we find that close to 70% of the time you are bound to find your users' record on CKYC. We have to keep in mind that the digitisation process in India will always be work in progress and therefore going forward this is a challenge that will hopefully get solved faster.

Quality of data present

Talk to any data analyst or scientist, all of them would say that about 75% of their time is spent in converting the data into the right shape and form. The reality is that this is ubiquitous and is present in all industries. The smartness lies in minimising the methods and time spent in cleaning data.

We analysed a wide set of CKYC records and noticed a few things :

  • Standard documents may not be standard - we noticed that documents like PAN and Aadhaar have been uploaded in custom formats
Rotated image of the PAN card
  • Robustness issues with images and selfies - the quality of the photo may not be great, the entire application form might be attached along with the photo instead of just a single photo
  • Robustness issues with images and selfies - the quality of the photo may not be great, the entire application form might be attached along with the photo instead of just a single photo

Without having to say much, it is clear that there it is a minefield when it comes to cleaning customer data. Just to play the devil's advocate, one can say CKYC is making the process more complex.

Let's get to simplify the process

More often than not, complex problems have simple solutions. This is precisely what Hyperverge helps you to do when it comes to CKYC. There are several challenges, variations in names, poor formats, multiple or no photos possibly. What we try to do is make all of this boil down to either, "I approve this record directly" or "do I have to get it reviewed?"

HyperVerge CKYC extractor accepts the CKYC record as it is and gives you a simple 3-way output - approve, review or reject. This decision recommendation is made based on a complex scoring mechanism.

The table below talks about how we assign scores-

Weighted score for each parameter (when match is not found)

Our proprietary algorithm goes beyond the regular OCR. Some of what we do is listed below -

  • OCR extraction on non standard Aadhaar / PAN formats
  • Fuzzy field matching for name, address and other fields
  • Face comparison through photo and ID cards

All of this goes into our in-house scoring mechanism to give you a filtered decisioning recommendation. It doesn't just end here; for the more discerning, we also return specific mismatch reasons - giving more of the customer's information to take actions on the review.

How can HyperVerge help you?

We have built an AI based C-KYC Data & Quality Validation API which can automatically assess the quality of the data, verify details present and approve the KYC. Here are some highlights:

  • Auto approval/rejection of about 88.5% CKYC downloads. One click KYC for about 30% of approved customers
  • Minimize Customer Drop Off by at least 5%
  • Minimize Ops Cost by up to 90%

You can save upto INR 35,000 for every 100 approved customers. Would you like more details about the product and how you can embed in your workflow, write to us at contact@hyperverge.co or fill out a request form here.

With the introduction of CKYC, RBI has tried to solve the complexities in the KYC process, thus letting the users access financial services in the most seamless manner. The Central KYC (CKYC) registry has been set up to spread the culture of a smooth and secure customer onboarding process. The earlier process which required KYC to be completed for each product or with every institution now needs to be done only once. While there may be some early teething issues, with time all this will get sorted out making CKYC or central KYC a norm for the industry. HyperVerge CKYC Extractor certainly goes a step further in making this happen.

HyperVerge has enabled large organizations to safely authenticate and/or onboard millions of users over the past decade with minimal onboarding effort and turnaround time while ensuring protection against any fraudulent activity.

Large customers in telecom (Reliance Jio, Vodafone, etc), lending (Aditya Birla Capital, L&T Financial, EarlySalary, etc), securities (ICICI Securities, Angel Broking, Groww, etc), payments (Razorpay), e-commerce (Swiggy) and other industries trust HyperVerge's onboarding solutions to safely onboard their users.

To speak to one of our solution experts, reach out to us at contact@hyperverge.co.

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