Use Case: Permissioned Credit Data Exchange
Consumer-controlled, purpose-limited credit data sharing for better financial outcomes
Overview
Imagine a world where individuals don’t just view their credit file — they actively control how it is used.
Credit and identity data power lending, affordability assessments, fraud prevention and financial inclusion. Yet individuals typically have limited granular control over who accesses their data, for what purpose, and for how long.
This Use Case demonstrates how a National Credit & Identity Data Provider (NCIDP) working with DataPal and MyTerms can enable a permissioned credit data exchange — shifting individuals from passive data subjects to active data participants.
The result: stronger trust, improved financial outcomes, and a future-ready consent framework aligned with responsible AI and regulatory expectations.
Context
Credit & identity data providers play a central role in the financial ecosystem:
Supplying lenders with credit history and risk indicators
Supporting fraud prevention and identity verification
Enabling affordability and eligibility decisioning
Supporting financial inclusion initiatives
At the same time:
Consumers expect greater transparency and control over personal data
Regulatory scrutiny around consent, purpose limitation and explainability is increasing
Open Banking has normalised permission-based data exchange
AI-driven underwriting demands stronger governance and auditability
The next evolution is not simply data access — but structured, purpose-bound control.
Challenge
Despite strong governance models:
Consent is often broad rather than granular
Data sharing can be “all or nothing”
Individuals have limited real-time visibility into downstream use
Data portability exists legally but is under-utilised operationally
Consumer trust across financial services remains fragile
Credit & identity data providers must balance:
Commercial data utility
Regulatory compliance
Innovation in AI decisioning
Consumer empowerment
Without increasing operational risk or complexity.
Solution
DataPal introduces a consumer-controlled permission layer, underpinned by MyTerms, enabling individuals to:
Grant purpose-limited access to specific elements of their credit data
Define duration and scope of access
Monitor, audit and revoke permissions
Share verified attributes rather than full datasets
Use AI guidance before approving access
The NCIDP remains the authoritative data custodian.
DataPal enables dynamic, structured, auditable permissioning at the individual level.
Control shifts — without compromising data integrity, scoring IP or regulatory compliance.
How It Works (Flow)
Credit Data Linkage - The individual securely links their credit file from the NCIDP to their DataPal dashboard via verified integration.
AI Insight & Education - DataPal AI explains: Score drivers, Risk indicators, Eligibility implications, Improvement opportunities. The individual gains understanding before sharing.
Structured Permission Creation (MyTerms) - The individual defines a permission such as: “Mortgage intermediary may access verified credit score band and 3-year address history for 30 days for affordability assessment.” Purpose. Scope. Duration. Logged.
Controlled Data Fulfilment - The NCIDP fulfils only the approved attributes through secure API delivery. No excess data is transferred.
Audit & Revocation - Permissions are: Time-bound, Auditable, Revocable, The individual retains oversight at all times.
Actors
The Individual (Data Owner)
Reviews and understands their credit data
Grants granular, purpose-specific permissions
Monitors and revokes access
The DataPal Platform
Ingests and structures credit data
Cleans and augments information via AI
Manages permissions using MyTerms
Maintains auditable consent logs
The Organisation or Service Provider
Requests specific, purpose-limited data
Receives verified attributes rather than full credit files
Benefits from consent-backed compliance clarity
The AI
Explains credit factors and potential impacts
Models “what-if” scenarios
Flags unnecessary exposure
Supports dispute identification
Benefits
For Individuals
Verified, privacy-preserving age protection
Clear parental controls
Reduced exposure to harmful content
Transparent data usage
Portable permissions across games
For Service Providers
High-quality, verified, consent-backed data
Lower compliance risk
Faster onboarding and underwriting
For For the National Credit & Identity Data Provider
Strengthened consumer trust and engagement
Reduced disputes and complaints
Audit-ready consent frameworks
New premium services around controlled data exchange
Alignment with financial inclusion objectives
Outcomes
Comparable permission-driven models suggest:
15–25% uplift in consumer engagement where control tools are introduced
10–20% reduction in disputes through proactive correction workflows
Reduced excess data exposure
Improved regulatory audit readiness
Increased trust and long-term customer retention
Strategically, this positions credit & identity data providers not just as data aggregators — but as facilitators of trusted, permissioned financial data exchange.
