We use essential cookies to run this site. Analytics & marketing cookies load only with your consent — see our Cookie Policy and Privacy Policy.

Free download · AI-model inventory template

AI-model inventory & risk-classification template

You cannot govern models you have not listed. This template gives you a living AI-model inventory and a risk-classification rubric — purpose, data, decisioning impact, explainability and third-party/GenAI exposure — so AI governance starts from a factual, board-ready register.

Fields
25+ per model
Risk tiers
Classified
Format
Excel
Aligns to
RBI + DPDP
Get the ai-model inventory template

Enter your work email and we’ll send it straight to your inbox.

Work email only. No spam — we send the asset and, if you want, a short review. A consultant replies within 4 business hours.

What’s included

Model inventory schema
25+ fields per model — owner, purpose, data sources, decisioning impact, deployment and third-party/GenAI dependencies.
Risk-classification rubric
A weighted rubric that assigns each model a risk tier so oversight focuses on the highest-impact models.
Control checklist per tier
The human-oversight, monitoring, bias and explainability controls expected at each risk tier.
GenAI / third-party register
Track external and GenAI models and their data-leakage and contractual controls.

Who it’s for

  • Banks, NBFCs and payment firms deploying AI/ML
  • Model-risk, compliance and technology functions
  • Anyone asked “list every AI model in production” and unable to

Inside the ai-model inventory template

  • AI-model inventory schema (25+ fields)
  • Risk-classification rubric
  • Control checklist per risk tier
  • GenAI / third-party model register
  • Board-reporting view

Prepared by CyberSigma AI governance practice · Reviewed by an AI-security specialist · Last updated July 2026

Want a full AI-governance programme?

We inventory and risk-classify your models and build oversight, bias and explainability controls aligned to RBI expectations and the DPDP Act.

Book a 20-minute review →AI governance