Know your customer data
Profile details, KYC records, bureau data and payment history sit across app backends, data lakes and partner systems. DPDP.ai FINDS and categorises this personal data. Then it maps it by system, owner, purpose and retention.
Absolutely every payment platform, lending app, and wallets collect personal data from the first page. Under the DPDP Act, that data is your responsibility. DPDP.ai brings consent, rights requests and partner oversight into one system, so you can keep shipping fast and stay audit-ready.
Under the DPDP Act, fintechs are Data Fiduciaries, and their lending partners, KYC providers, cloud hosts and analytics vendors are Data Processors. DPDP.ai gives you one platform to meet those duties across every app, journey and partner.
Profile details, KYC records, bureau data and payment history sit across app backends, data lakes and partner systems. DPDP.ai FINDS and categorises this personal data. Then it maps it by system, owner, purpose and retention.
Onboarding, loan offers, repayments and cross-sell each ask for consent in their own way. DPDP.ai offers multilingual, purpose-linked notices and a single consent ledger with withdrawal. Consent signals reach downstream systems in real time.
App permissions, SDKs and API calls often collect more than the service requires. Data flow monitoring shows what each component takes, so you can cut excess collection.
Consent Manager registration opens on 13 November 2026, and obligations take effect on 13 May 2027. DPDP.ai's phased modules (Consent Core, Flow, Control, Govern) let you start with consent and expand as you go.
Vendor risk assessment and processor mapping in the ROPA tie each lender, KYC provider and cloud host to the data it handles.
The penalty for one violation can go as high as ₹250 crore, depending on which obligation is breached. With DPDP.ai, you reduce that risk through controls you can prove.
Businesses ship software fast and test new features all the time. This creates a problem where privacy checks often get skipped or pushed to later. These are the weak spots compliance teams spot first.
Contact SalesRequests for contacts, location or device details can go beyond the real need of the service.
Onboarding, lending, repayment and promotions each gather permission in their own way.
User details travel between lenders, collection agencies, KYC vendors and cloud environments.
When a product changes, the privacy notice and consent often stay the same, so they no longer match what the product actually does.
A large user base produces more access and deletion requests than manual handling can clear in time.
No clear rule for when data should be deleted, or relies on people to delete it manually, the deletion keeps getting delayed.
Fintech challenge: User data sits across app backends, data lakes and partner systems.
How DPDP.ai solves it: A scan of structured and unstructured sources produces an always-current map of personal data.
Fintech challenge: Consent wording differs between onboarding, lending and repayment
How DPDP.ai solves it: A single consent engine controls capture, version history and withdrawal for every flow.
Fintech challenge: SDKs and app permissions gather more than necessary
How DPDP.ai solves it: Flow monitoring exposes what each component takes and where it sends it.
Fintech challenge: Dependence on lending partners, KYC APIs and cloud hosts
How DPDP.ai solves it: Each vendor is reviewed on a schedule against what its data-processing agreement promise.
Fintech challenge: Notices lag behind new releases
How DPDP.ai solves it: Notices live in one workspace and can be updated and issued in many languages.
Fintech challenge: Heavy flow of access, correction and erasure requests
How DPDP.ai solves it: Requests from Data Principals are logged, assigned and completed across linked systems within the deadline.
Fintech challenge: Breach handling spread across teams and partners
How DPDP.ai solves it: A guided workflow gathers proof and drives the response from first detection to timely notice.
Fintech challenge: Web journeys running trackers without permission
How DPDP.ai solves it: Cookie controls display compliant banners and remember each visitor's choice.
These are the questions product, legal and engineering teams at fintechs raise with us most often.
Talk to an ExpertThat depends on what it does. If it sets the purpose and method of using customer data, it is a Data Fiduciary. If it handles data only on behalf of a bank or lender, it is a Data Processor.
The DPDP Act enforces strict rules over the Indian fintech sector. The rules are strict consent, data minimization, and heavy penalties up to ₹250 crore for non-compliance.
The DPDP Act is set to roll out in schedules, the obligations start on 13 May 2027. Fintechs should use the time before then to map their data and fix their consent flows.
The penalty for violating a single rule can attract a penalty of up to ₹250 crore, depending on which obligation is breached.
Fintech sectors can use one consent system for every management. A single ledger records each consent, its history and handles withdrawal. DPDP.ai does this with multilingual and purpose-linked notices. The tool updates as consent changes in real time.
Find out how DPDP.ai can sit across your product stack, user consent and partner network without slowing the next release.
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