Unowned AI use
Without clear inventory and decision rights, high-impact uses can bypass governance.
Framework readiness · Open
Turn AI governance into an auditable management system
Establish decision rights, lifecycle controls, risk treatment, human oversight, and evidence before independent certification activity.
Requirements and review pressureKnow what must be ready before review begins.
Lifecycle blind spots
Controls must address design, deployment, monitoring, change, and retirement.
Thin evidence
Policies alone do not show that reviews and safeguards are being performed.
What comes first
Start with the requirement and the decision it must support.
We identify what applies, which systems and teams it touches, and the evidence needed for the next review.
Inventory the use
Identify AI systems, purposes, owners, data dependencies, and affected parties.
Govern by risk
Apply proportionate assessments, approvals, and monitoring to the use context.
Design for traceability
Keep decisions, evaluations, changes, and exceptions connected to accountable owners.
Review in operation
Use monitoring and management review to adapt controls as systems change.
Evidence you can use
Prepare evidence for the next review.
Useful evidence has a clear source, owner, timing, and review status. That makes it easier to understand, reuse, and act on.
What you receive
- A structured AI program
- Traceable decisions
- More usable assurance
How it stays useful
- Source
- Current source material
- Owner
- Named owner
- Timing
- Relevant period
- Status
- Review status and decision
Readiness path
Move from requirements to working readiness.
Each stage turns the standard into owned work, current evidence, and a clear next decision.
Scope
Set the AIMS boundary, objectives, governance roles, and risk approach.
Discover
Inventory systems and map lifecycle practices, risks, and evidence.
Operationalize
Embed assessments, approvals, documentation, monitoring, and issue handling.
Prepare
Test readiness and coordinate the external certification process.
Where Open can help
Choose the capability that resolves the immediate pressure.
Add related work only when it improves the result. Independent review remains separate when the decision requires it.
Business results
Know what becomes possible after the work.
Each result describes a practical change the team can operate, explain, or use in its next decision.
A structured AI program
Teams have clearer governance, lifecycle practices, and accountability.
Traceable decisions
Key assessments and approvals are easier to locate and explain.
More usable assurance
Evidence is organized around operating practices rather than a static policy set.
Common questions
Resolve fit, responsibility, and timing before work begins.
Straight answers on who does what, which formal path applies, and what a useful first engagement should produce.
Can Open certify ISO 42001?
No. An accredited certification body performs the certification audit and makes the certification decision.
What does Open help establish?
AI inventory, governance roles, risk reviews, lifecycle controls, approvals, monitoring, incident handling, and evidence.
Does ISO 42001 apply only to model developers?
No. It may be relevant to organizations that develop, provide, or use AI systems, depending on context and scope.
Does certification establish legal compliance?
No. Qualified counsel handles legal interpretation; Open connects established obligations to controls and records.
Can readiness guarantee responsible AI?
No. System behavior, data, people, use context, and ongoing governance continue to affect outcomes.
