JS◆ Jigarkumar ShahSTRATEGIC CFO · CHARTERED ACCOUNTANT
Weekly ArticleCFO & Growth6 min readPublished 11 November 2026

Responsible AI in finance: turning RBI’s seven principles into management controls

RBI’s FREE-AI Committee Report sets out seven guiding principles and 26 recommendations for responsible AI in finance. The management challenge is converting them into ownership, controls and evidence.

AI adoption in finance is moving faster than many control environments. RBI’s FREE-AI report frames trust as the foundation and gives boards a practical starting point for governing models, data, vendors and incidents.

From principle to operating model

The report describes seven ‘Sutras’ for responsible AI and 26 recommendations organised under six strategic pillars. It addresses innovation and infrastructure alongside policy, capacity, governance, protection and assurance.

For management teams, the important move is to translate principles into a register of AI use cases, accountable owners, permitted data, human oversight, testing standards and incident response.

The CFO’s role

AI projects create financial commitments and operational dependencies before their risks are fully visible. Finance leadership can improve discipline by linking each use case to a business case, control owner, vendor obligation, measurable outcome and exit plan.

The same dashboard should show value realised and risk indicators. That prevents innovation reporting from becoming detached from governance and capital allocation.

BOARDROOM CHECKLIST

What leaders should do now

  1. Create an inventory of AI models and use cases, including third-party tools used by teams.
  2. Assign a business owner, control owner and human-override path for every material use case.
  3. Define approved data, retention, testing, monitoring and incident-escalation requirements.
  4. Track benefits, costs, exceptions and remediation in the same management review.
CFO PERSPECTIVE

Responsible AI is a capital-allocation and control-design question. A use case should not move from pilot to scale until expected value, data rights, model risk, accountability and fallback arrangements are explicit.

CA Jigarkumar Shah
VERIFIED SOURCE

Read the original material

FREE-AI Committee Report — Framework for Responsible and Ethical Enablement of Artificial Intelligence

Official source →

Important: This article is general information and a business perspective based on the cited source. It is not legal, tax, accounting or investment advice. The law and official guidance may change; obtain advice for your facts before acting.

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