Built for BFSI ยท RBI ยท SEBI ยท IRDAI ยท DPDP ยท GDPR

Compliance control for every customer data flow in financial services.

Banks, NBFCs, insurers, fintechs and wealth platforms manage customer data across onboarding, KYC, lending, bureaus, co-lending, recovery, cross-sell, retention and partner ecosystems. OpenBlockAI helps financial institutions discover personal data, govern consent, protect raw identifiers, control partner access and produce audit-ready evidence across multi-regulator workflows.

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Discovery StudioConsenticaPrivaultPartner Evidence

Multi-Regulator Control Layer

BFSI Reality

KYC, lending, bureau, recovery, co-lending and insurance workflows spread customer data across many regulated and outsourced systems.

VS

Compliance Expectation

Teams must prove purpose, consent, retention, vendor access, data minimisation, breach readiness and audit evidence across the full chain.

OpenBlockAI Resolution

Use Discovery Studio to map customer data, purposes, systems, vendors and retention gaps
Use Consentica to manage purpose-based consent, withdrawal, rights and downstream sync
Use Privault to tokenise sensitive identifiers and govern policy-bound reveal across partners

Evidence Layer Active

Consent, data-flow, retention, vendor and access evidence prepared for audit and customer due diligence

Industry compliance infrastructure for BFSI ecosystems

One control layer for data discovery, consent governance, PII vaulting, retention visibility, partner accountability and audit evidence across financial workflows.

Financial data does not fit a one-system compliance model.

Customer data moves across core systems, LOS/LMS platforms, bureaus, DSAs, co-lending partners, insurers, recovery vendors, CRMs, payment systems and analytics tools. Compliance breaks when no team can prove the full data journey.

KYC and borrower data sprawl

PAN, Aadhaar-linked references, CKYC, bureau data, bank statements, income documents and repayment data appear across onboarding, lending, servicing and recovery systems.

Partner and processor opacity

Co-lenders, DSAs, bureaus, recovery agents, TPAs, payment providers and outsourced call centres each touch different slices of customer data.

Retention and deletion conflict

Financial institutions must balance privacy requests with legal, regulatory, contractual and audit retention duties without losing evidence.

Raw identifiers in downstream tools

Account numbers, customer IDs, phone numbers, documents and bureau references often flow into CRMs, support tools, exports and vendor systems in raw form.

BFSI Scenario

One Customer, Many Regulated Workflows, One Evidence Trail

Follow customer data from onboarding to servicing, partner sharing and withdrawal โ€” every purpose, processor and access event mapped for compliance evidence.

01

Data Discovered

Discovery Studio maps customer data across core banking, LOS/LMS, CRM, bureau, recovery, insurance and partner systems.

02

Consent Governed

Consentica captures purpose-specific consent for onboarding, bureau access, servicing, marketing and partner sharing.

03

Partner Access Scoped

Each processor receives only the required data fields for the approved purpose, with downstream status and evidence tracked.

04

Raw PII Tokenised

Privault replaces exposed identifiers with governed tokens before data reaches vendors, analytics or support systems.

05

Evidence Exported

Compliance teams can export consent history, processor mapping, reveal logs, retention notes and audit-ready evidence.

CUSTOMER DATA CONTROL
CoreLendingBureauPartnerDPO
Purpose-scoped ยท Tokenised ยท Evidence-ready

Built for financial services workflows

From onboarding to partner access โ€” every place where customer data crosses a regulatory, vendor or operational boundary.

Banking

KYC and Account Data Governance

Map identity, account, transaction and document flows across core systems and downstream processors.

RoPAready data inventory
NBFC

Digital Lending and LSP Controls

Govern borrower consent, bureau pulls, LSP data flows, DSAs, recovery agents and co-lending partner access.

LSPprocessor visibility
Insurance

Policy and Claims Data Evidence

Track policyholder consent, claims sharing, TPA access, broker-led capture and retention evidence.

Claimspurpose mapping
Wealth

Investment and Portfolio Data Controls

Reduce raw customer data exposure across onboarding, portfolio systems, advisory tools and reporting workflows.

Auditevidence exports

OpenBlockAI capabilities for BFSI compliance

Discovery Studio Data Mapping

Discover structured and unstructured customer data across systems, files, vendors and workflows to generate RoPA, DPIA, risk and evidence inputs.

Discovery

Consentica Consent Governance

Capture, update, withdraw and prove purpose-based consent across digital, assisted, QR, API and partner-led journeys.

Consent

Privault Tokenised PII Vault

Tokenise account numbers, IDs, phone numbers, documents and customer references so downstream tools work without broad raw PII exposure.

PII Vault

Retention and Deletion Evidence

Map retention rules, regulatory holds, withdrawal impact and deletion readiness across data categories and systems.

Retention

Vendor and Processor Register

Maintain evidence of which partners receive what data, for which purpose, under what contract and access policy.

Third-Party Risk

Audit Evidence Exports

Prepare evidence packs for internal audit, enterprise due diligence, breach review and regulatory response.

Audit-Ready

Deep-Dive Use Case: Co-Lending and Recovery Data Governance

A single lending journey can involve the bank, NBFC, bureau, LSP, DSA, recovery agent and customer support team.

The Scenario

A customer applies for a loan and their data moves through multiple regulated and outsourced touchpoints:

Bank โ†’ NBFC โ†’ Bureau โ†’ LSP โ†’ Recovery

Without a unified control layer, teams cannot easily prove purpose, consent, sharing scope, retention basis or partner access.

The OpenBlockAI Solution

OpenBlockAI maps the borrower data flow, governs consent and uses tokenisation to reduce unnecessary raw data exposure.

  • Discovery Studio maps borrower data across systems, vendors and evidence gaps
  • Consentica links consent and withdrawal to each purpose and downstream processor
  • Privault tokenises identifiers before they move into support, recovery or analytics tools
  • Audit packs show consent, processor mapping, reveal history and retention status

Outcome: Move from fragmented partner records to one defensible customer-data evidence trail.

Build a compliance control layer for financial services

Discover customer data, govern consent, protect raw identifiers and prepare audit evidence across BFSI workflows.

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Frequently Asked Questions

No. This industry page positions OpenBlockAI as a compliance infrastructure layer for financial services across consent governance, data discovery, PII protection, partner controls, retention evidence and audit readiness. DPDP is one important compliance driver, but not the only one.