Responsible AI

Trust is not a feature added after deployment.

DSA QAI designs financial-intelligence workflows around defined purpose, authorised data, evidence linkage, human accountability, contextual evaluation, security and ongoing monitoring.

Review model governance Security & privacy

Six governance principles

Accountable intelligence, by design.

Human accountable

named owners remain responsible for material decisions.

Purpose limited

data and models are used only for documented and authorised purposes.

Evidence linked

material outputs connect to sources, rules, assumptions and review actions.

Fairness aware

affected groups and potential harms are considered in context.

Secure by design

access, isolation, logging, retention and response are part of the solution.

Continuously monitored

quality, drift, overrides, failures and feedback are measured.

Governance resources

Framework-informed. No implied endorsement.

The governance approach may be informed by recognised resources including RBI’s FREE-AI framework for the financial sector and the NIST AI Risk Management Framework. This statement does not imply certification or endorsement.

Recognised resources.

RBI FREE-AI publication NIST AI Risk Management Framework

Build a clearer way forward

Begin with the decision.
Let’s take it from there.

Review model governance