Responsible AI
ISO/IEC 42001
Bring structure to the way your organization governs, develops and uses AI.
Your engagement, step by step
From Understanding
To Readiness.
We tailor the sequence to your maturity, operating footprint and objectives. Each phase has clear responsibilities and tangible outputs.
Discuss this service- 01
Understand Your AI Context
Identify the AI systems in scope, your role in their lifecycle, affected stakeholders and management responsibilities.
Typical outputAI inventory, scope and governance roles
- 02
Assess Gaps, Risks And Impacts
Review current governance against your agreed management system scope. Support AI risk and impact assessments with relevant technical and business stakeholders.
Typical outputGap register and documented assessment approach
- 03
Design Accountable Governance
Establish policies, decision rights and lifecycle controls that fit your AI activities. Connect supplier oversight, human involvement and documentation to named owners.
Typical outputAI management system documentation and control roadmap
- 04
Put Controls Into Practice
Support implementation, role-specific training, operational records and monitoring. Define how changes, incidents and governance decisions are escalated.
Typical outputOperating procedures, evidence index and monitoring plan
- 05
Evaluate And Prepare
Review management system effectiveness, agree objective internal audit arrangements and track improvements before an external certification assessment.
Typical outputReadiness report and corrective action plan
Getting started
What We Need From You
- Your business goals, target markets and readiness milestone
- A sponsor and access to relevant process or control owners
- Existing policies, system information and available evidence
- Known gaps, previous findings and external assessment plans
We agree the timeline after scoping. It depends on your starting point, systems, available people and the work needed to demonstrate operation.