Use-case classification
Separate assistive use cases from workflows that can materially affect customers, credit, KYC, servicing or financial decisions.
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FINANCE / AI
AI Governance for Banks, NBFCs & Fintechs
Control AI-enabled financial workflows with documented permissions, human decision points, vendor oversight, evidence and audit-ready records.
Structured FiveCheckMate workflow
WHAT IT COVERS
Turn a complex requirement into visible control points.
Each engagement can be scoped around the records, systems, parties and decisions actually involved. The objective is to make responsibilities, evidence, open items and next actions easier to see.
AI vendor & model assessment
Capture model purpose, data sources, access rights, dependencies, change controls, testing evidence and accountability.
Decision oversight
Design approval gates for decisions that the regulated organisation must retain, with clear escalation and evidence.
Data & access controls
Map datasets, interfaces, credentials, tool access and information boundaries for AI systems.
Outsourcing governance
Create evidence around third-party AI providers, subcontractors, access, audit rights, continuity and incident handling.
Audit & explainability records
Maintain a structured evidence trail for material AI outputs, controls, approvals, changes and exceptions.
HOW WE SUPPORT
From use-case classification to periodic review.
Six stages that give regulated teams a consistent way to assess, approve and evidence AI use.
01
Classify
Sort AI use cases by the decisions they influence and the customer or regulatory impact involved.
02
Assess
Review the vendor, model, data sources and dependencies behind each use case.
03
Control
Set data, access and outsourcing controls proportionate to the risk of each use case.
04
Approve
Record who approved deployment, under what conditions and what human oversight applies.
05
Evidence
Keep explainability notes, test results and decision logs ready for internal and external review.
06
Review
Revisit use cases on a schedule and after any change in model, vendor or regulation.
NEXT STEP
Build the right control workflow for your requirement.
Share the objective, parties, systems or transaction stage. FiveCheckMate can help define the information required, the workflow and the evidence to maintain.
Request an Enquiry →FAQ
Common questions
Does AI governance replace the regulated entity’s responsibility?
No. Governance workflows are designed to support the institution. The regulated entity retains its responsibilities and decision authority.
Can this cover AI-based lending workflows?
It can cover governance around data, models, permissions, human review, evidence and third-party controls. Actual credit decisions remain with the responsible institution and its authorised framework.
Can this be used before deploying an AI agent?
Yes. A pre-deployment control assessment can define permissions, data boundaries, approval gates and evidence requirements before production access is granted.
Which AI use cases are usually reviewed first?
Customer-facing chatbots, credit or collections decisioning, fraud and KYC tooling, and any agent with access to customer data or payment actions are common starting points.
Can this support board or audit-committee reporting?
FiveCheckMate can structure the registers, approvals and evidence packs that such reporting draws on. The reporting itself remains the institution’s responsibility.
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