Governance & Risk

AI Governance Consulting

We help Indian companies governing AI systems build the policies, risk reviews and controls that customers, regulators and boards now expect. Our AI governance practice combines privacy expertise (DPDP Act, GDPR) with model risk, bias and explainability — pragmatic, not academic.

What's included

A scoped engagement with concrete deliverables — not a slide deck.

AI inventory & risk tiering

Inventory of AI/ML systems and use cases, risk-tiered against business impact and regulatory exposure.

Responsible AI policy

AI use policy, model lifecycle controls and approval gates calibrated to your sector.

Model risk reviews

Pre-deployment reviews covering data lineage, bias, explainability, security and privacy.

AI DPIAs

DPIAs for AI systems that process personal data, including GenAI use cases.

Vendor AI due diligence

Diligence framework for third-party AI tools, including data-use, retention and training rights.

Our approach

A repeatable four-stage method, calibrated to your business.

  1. 01

    Inventory

    Catalogue AI/ML use cases and prioritise by risk.

  2. 02

    Policy

    Stand up responsible AI policy, governance forum and approval workflow.

  3. 03

    Review

    Run model risk reviews and AI DPIAs for high-risk systems.

  4. 04

    Monitor

    Ongoing monitoring, incident response and post-deployment reviews.

Who it's for

Engagement profiles where we add the most value.

  • Companies deploying GenAI in customer-facing or HR workflows
  • Lenders, insurers and healthtech firms using algorithmic decisioning
  • Product teams building AI features and needing release governance
  • Boards seeking independent assurance over AI risk

Frequently asked questions

Is there an AI law in India?+

India does not yet have a horizontal AI law, but AI systems that process personal data are squarely within the DPDP Act, and sector regulators (RBI, SEBI, IRDAI, MoHFW) are issuing AI guidance. Companies serving EU users must also consider the EU AI Act.

What is an AI DPIA?+

An AI DPIA assesses privacy and fundamental-rights risks specific to AI systems — data lineage, training data lawful basis, model bias, explainability, and the rights of Data Principals affected by automated decisions.

How do we govern third-party AI tools?+

We help you build a vendor AI due-diligence framework covering data-use rights, training/retention, sub-processors, security posture and contractual safeguards — and embed it into procurement.

Ready to make ai governance a competitive advantage?

Book a free 30-minute consultation with Primitra. We'll review your current posture and outline the fastest path to a defensible, audit-ready program.