ISO/IEC 42001 · AI Governance

Govern AI responsibly, and show it

Implement an AI management system aligned to ISO/IEC 42001: AI policy, AI risk and impact assessment, controls across the AI lifecycle, and audit readiness.

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How an engagement runs

DiscoverAI inventory and context
AssessAI risks and impacts
GovernPolicy, roles and objectives
ControlLifecycle controls
ValidateInternal audit and review

Led by Dr. Sanjay Vaid, a lead auditor and trainer for international certification and training bodies, with practical consulting across information security, AI governance, privacy and OT security.

No model ships without a gate

Risk and impact assessment is built into the lifecycle, so every AI system is checked before it reaches people.

Responsible AI is a management discipline. Without owners, controls and evidence, it remains an intention.

Dr. Sanjay Vaid, Invocore

AI is moving faster than governance

Organisations building or using AI need to show customers, boards and regulators that AI is used responsibly. ISO/IEC 42001 is the international standard for an AI management system, and it gives a structured way to manage AI risk, transparency and accountability.

The challenge

Why this matters now

AI has moved from experiments to everyday operations. Teams use generative AI to write, code and analyse; products embed models that make or shape decisions about customers. In many organisations nobody can say with confidence which AI systems are in use, what data they rely on or who is accountable when they go wrong.

ISO/IEC 42001 is the first international management-system standard for AI. It gives organisations a structured way to set AI policy, assess risks and impacts, control the AI lifecycle and demonstrate responsible use to customers, boards and regulators. It also fits alongside ISO/IEC 27001 and 27701, so governance builds on what you already have.

Rapid AI adoption

Generative AI tools have spread across teams faster than policies and controls.

Emerging regulation

AI regulation, such as the EU AI Act, and sector guidance are raising expectations for transparency and accountability.

Customer scrutiny

Enterprise buyers increasingly ask how suppliers govern AI in their products and services.

Quick self-check

How ready are you?

Answer four questions leaders ask us. Your result appears instantly; nothing is stored or sent.

Do we know every AI system we build, buy or use?

Who is accountable when an AI system makes a harmful decision?

How do we assess bias, privacy and reliability before deployment?

Can we show customers and regulators that our AI is governed?

Answered 0 of 4

Answer all four to see your result.

Talk to us about your result

What we deliver

Capabilities

AI inventory

A register of AI systems you build, buy and use, with owners and purposes.

AI policy and objectives

Clear principles and responsibilities approved by leadership.

AI risk assessment

Identify and treat risks such as bias, privacy, security and reliability.

AI impact assessment

Assess effects on individuals, groups and society before deployment.

Lifecycle controls

Data, development, testing, deployment and monitoring controls aligned to Annex A.

Internal audit

Independent internal audit and readiness for certification.

Interactive

Explore the framework

Select any part of the diagram to see what it covers.

Selected

Context

Understand where and how you develop, provide or use AI, and who is affected.

Leadership

Top management sets AI policy, roles and accountability.

Planning

Assess AI risks and impacts and set objectives for responsible AI.

Operation

Apply controls across the AI lifecycle, from data to deployment and monitoring.

Evaluation

Monitor AI performance, audit the system and review results.

Improvement

Act on findings and incidents to improve AI governance.

Our approach

How we work with you

A clear, staged path from first assessment to lasting capability.

Step 1

Discover

AI inventory and context

Step 2

Assess

AI risks and impacts

Step 3

Govern

Policy, roles and objectives

Step 4

Control

Lifecycle controls

Step 5

Validate

Internal audit and review

Why Invocore

What sets us apart

Senior, practitioner-led advice that holds up in front of auditors, boards and customers.

Governance meets delivery

We embed AI risk and impact checks into how AI is built and bought, not as a separate bureaucracy.

Integrated management systems

Designed to work with ISO/IEC 27001 and 27701, avoiding duplicate processes.

Board-level clarity

Clear reporting on AI value, risk and compliance for leadership.

Engagement models

Start where you are

Begin with a focused first step and expand as value is proven.

Assess

AI governance gap assessment against ISO/IEC 42001 with a roadmap.

Fees on enquiry

Implement

Full AI management system implementation to audit readiness.

Fees on enquiry

Sustain

Ongoing AI governance support, or our Chief AI Officer as a service.

Fees on enquiry

Deliverables

What you receive

AI system inventory and ownership register
AI policy and objectives
AI risk assessment and treatment plan
AI system impact assessments
Lifecycle controls mapped to Annex A
Supplier and third-party AI checklist
Internal audit report and readiness summary

Outcomes

What changes for you

A complete AI inventory with accountable owners
AI risk and impact assessments built into delivery
Controls across the AI lifecycle, aligned to ISO/IEC 42001
Evidence of responsible AI for boards, customers and auditors

Who we work with: AI product companies, Enterprises adopting generative AI, BFSI and healthcare, IT services and Public sector.

Frequently asked questions

Can ISO 42001 be combined with ISO 27001?

Yes. Both follow the same management-system structure, so many processes can be shared.

We only use third-party AI tools. Does 42001 apply?

Yes. The standard covers organisations that provide or use AI systems.

Do you help with AI policy only?

Yes. A standalone AI use policy is available through our Policy development service.

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Client success story

Telecomatics Technologies: from ISO 27001 certification to responsible AI

A technology company in Coimbatore, India, working with Invocore across consulting, implementation, internal audit and training. Information security came first; ISO/IEC 42001 AI governance followed on the same foundations.

ConsultingISMS kickoff and a full gap assessment against ISO/IEC 27001:2022.
ImplementationMore than 140 policies, procedures and registers, built with the team.
CertificationISO/IEC 27001:2022 certification by an NABCB-accredited certification body.
Internal auditOngoing quarterly internal audits to keep the ISMS effective.
AI governanceISO/IEC 42001 AI management system implemented and internally audited.
TrainingISO/IEC 42001 Lead Implementer and Lead Auditor programmes, plus awareness for all staff.