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AI Governance Consulting India

AI Governance Consulting in India for responsible, secure and scalable AI adoption

EAKA IT helps organizations move from scattered AI experimentation to governed adoption with an AI inventory, risk tiers, decision rights, policies, lifecycle controls, evidence and security oversight for models, copilots and autonomous agents.

InventoryKnow what AI exists
Risk tiersApply proportionate control
PolicySet decision rights
AgentsGovern autonomy
ISO 42001Readiness support
Why organizations engage us

AI risk grows faster when adoption is invisible, ownership is unclear and controls are inconsistent

CHALLENGE 01

Shadow AI

Employees and business teams may adopt AI tools before security, privacy and legal teams have visibility.

CHALLENGE 02

Unclear ownership

Models, copilots and agents can enter production without a named business owner, technical owner or risk approver.

CHALLENGE 03

Policy-only governance

A policy does little if there is no intake, classification, testing, approval, monitoring and exception workflow.

CHALLENGE 04

Agentic risk

Agents can access tools and systems, creating new identity, permission, transaction and human-oversight requirements.

Scope

What EAKA IT can assess, implement or operate

Scope is tailored to your current environment, risk profile, technology stack and internal operating model.

01

AI Inventory & Discovery

Build a maintained view of AI use.

  • Approved and unapproved tool inventory
  • Business use-case mapping
  • Owner and vendor identification
  • Data and integration dependencies
02

Risk Classification

Apply governance proportionate to impact.

  • Use-case risk tiering
  • Data sensitivity review
  • Autonomy and action-risk assessment
  • High-risk approval criteria
03

Policy & Decision Rights

Make governance executable.

  • Acceptable-use policy
  • AI governance roles and committees
  • Intake and approval workflow
  • Exception management
04

AI / Agent Passport

Create traceability across the lifecycle.

  • Purpose and owner
  • Model/provider and data
  • Tools, permissions and integrations
  • Testing, approvals and monitoring
05

AI Security Controls

Protect data, identities and actions.

  • Access and least-privilege review
  • Prompt and input-risk controls
  • Output and data-egress controls
  • Logging and monitoring expectations
06

ISO 42001 & Evidence Readiness

Build management-system discipline.

  • Gap assessment
  • Governance-process design
  • Evidence model
  • Readiness roadmap
Engagement outputs

What you receive

Every engagement is designed to leave you with clear ownership, documented evidence and prioritized next actions.

✓ AI inventory and ownership baseline
✓ AI risk-classification model
✓ AI governance policy and decision-rights framework
✓ AI/Agent Passport template and lifecycle workflow
✓ Security and monitoring control recommendations
✓ ISO/IEC 42001 readiness roadmap where required
Delivery approach

A practical path from current state to measurable improvement

We start with evidence and business context, then sequence improvements by risk, dependency and implementation effort.

01 • Discover

Map the AI landscape

Identify sanctioned and unsanctioned tools, use cases, owners, vendors, data flows and agent/tool integrations.

02 • Govern

Define policy and decision rights

Set risk tiers, approval thresholds, governance roles, lifecycle requirements and exception handling.

03 • Control

Implement practical safeguards

Align identity, data, testing, human oversight, logging and monitoring to use-case risk.

04 • Scale

Build evidence and continuous review

Track inventory, exceptions, incidents, changes and metrics as AI adoption grows.

Buyer FAQ

Questions organizations typically ask

Do we need AI governance if we mainly use Microsoft Copilot or ChatGPT?

Yes, but the model should be proportionate. At minimum, organizations benefit from approved-tool rules, data-handling requirements, ownership, awareness and a lightweight intake process for higher-risk use cases.

What is an AI or Agent Passport?

It is a structured lifecycle record containing ownership, purpose, model/provider, data, tools and permissions, risk tier, controls, testing, approvals and monitoring expectations.

Can you help with ISO/IEC 42001?

EAKA IT can support gap assessment, governance-process design and evidence readiness aligned to ISO/IEC 42001. Formal certification is performed by an accredited certification body.

How is agent governance different from model governance?

Agents can take actions and invoke tools, so governance must also address identity, permissions, transaction boundaries, human approval, logging, tool trust and fail-safe behavior.

Can AI governance enable innovation rather than slow it down?

Yes. A risk-tiered model allows low-risk uses to move quickly while applying deeper review to high-impact, sensitive or autonomous use cases.

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Start with a focused discovery conversation

Share your environment, priorities and deadlines. EAKA IT will recommend a pragmatic first step and an appropriate scope.

Talk to an Expert

Turn the requirement into an actionable roadmap

Get a clear view of current gaps, priorities, ownership and next steps.

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