ISO/IEC 42001 Readiness

Turn AI governance into an audit-ready management system.

A sleek, practical pathway for defining your Artificial Intelligence Management System scope, closing ISO 42001 gaps, and organising the evidence leaders, customers and auditors will ask for.

Designed for organisations developing, providing or using AI systems, especially teams that need governance, risk, security and assurance to move together.

AIMS readiness board

Scope in progress

4

readiness workstreams

12+

evidence artefacts

Scope and context

Systems, users, suppliers and certification boundaries.

AI risk and impact

Risk decisions, treatment plans and impact assessment logic.

Oversight and accountability

Human review, ownership, escalation and monitoring routines.

Evidence and audit prep

Artefacts that prove the management system is operating.

AIMS scope

Gap register

Risk plan

Evidence pack

READINESS MAP

Everything needed for ISO 42001, organised into a practical operating model.

Instead of treating readiness as a document chase, Praxis maps ISO 42001 into the places your organisation already makes decisions: scope, risk, control ownership, monitoring and evidence.

Where the engagement starts

AIMS scope before artefacts.

The fastest way to waste ISO 42001 effort is to build controls before agreeing what AI systems, teams and suppliers are actually in scope. We start by making those boundaries visible.

Which AI systems and vendors are inside the AIMS?

Who owns risk acceptance, oversight and improvement?

What evidence proves the controls are operating?

Which gaps block internal audit or certification readiness?

Scope and context

Define organisational context, stakeholders, AI systems, external dependencies and the boundaries for certification readiness.

Risk and impact

Map current AI practices against ISO/IEC 42001 clauses, Annex A control themes and AI lifecycle risk decisions.

Controls in operation

Turn policy intent into oversight, human review, supplier checks, incident pathways and monitoring routines.

Evidence and assurance

Organise registers, decisions, approvals and review artefacts so internal audit and certification conversations are defensible.

OPERATING RHYTHM

From requirement to repeatable behaviour.

ISO 42001 readiness is most valuable when it becomes a rhythm your teams can maintain: review, approve, monitor, improve and evidence.

risk decisions

owners

evidence

01

Define the AIMS scope

Confirm organisational context, AI systems, stakeholders, suppliers and the boundary for readiness work.

Scope statement

02

Assess ISO 42001 gaps

Review current practices against the management-system clauses, Annex A control themes and AI lifecycle risks.

Gap register

03

Implement practical controls

Build policies, approval gates, human oversight, supplier review and incident pathways that fit the organisation.

Control plan

04

Collect evidence as you operate

Capture decisions, reviews, monitoring outcomes and improvement actions so readiness is not a last-minute scramble.

Evidence pack

05

Test readiness

Run a readiness check, close priority gaps and prepare leaders for internal audit or external certification conversations.

Readiness report

EVIDENCE ROOM

The useful output is not a binder. It is a living evidence system.

A readiness engagement should leave you with concrete artefacts buyers can use: governance records, risk decisions, operating routines and audit preparation.

Governance

AIMS scope and context

AI policy and responsibilities

Leadership review cadence

Continual improvement actions

Risk

AI risk and impact method

Risk acceptance records

Supplier and tool assessment

High-risk use-case escalation

Operations

Human oversight routines

Monitoring and incident pathways

Training and guidance records

Change review triggers

Assurance

Internal audit preparation

Management review inputs

Evidence pack for assessors

Gap closure roadmap

FIT FOR PURPOSE

Built for teams that need AI assurance without overengineering it.

Start with the AI systems that matter most, reuse existing security and governance foundations where they help, and scale the management system as adoption matures.

AI vendors

Prepare for customer due diligence, procurement reviews and future certification expectations with clearer controls and evidence.

Enterprise adopters

Govern the third-party AI tools, pilots and internal use cases already spreading across business teams.

Regulated teams

Connect AI governance to security, privacy, operational risk and assurance expectations in a way executives can monitor.

No. Praxis provides readiness, implementation and audit-prep support. Certification is performed by an independent accredited certification body.

No, but existing ISO 27001 or cyber governance foundations can reduce the lift because the evidence and management-system rhythms overlap.

Yes. We can begin with AIMS scope and a gap assessment, then phase implementation around the highest-risk AI systems first.

Ready to make ISO 42001 practical?

We’ll help you define scope, close priority gaps and build the evidence system needed for responsible AI governance and certification readiness.

Book an ISO 42001 Call

Praxis Cyber

AI governance, cyber assurance and secure adoption support.