AI visibility tool for
governance teams
We help you continuously see what AI does, control how it operates, and prove how it's governed. This means... Activity out of sight. AI behaviour becomes difficult to monitor after deployment. Policies without connection. Governance policies remain disconnected and outdated from actual AI activity. Responsibility in fragments. Fragmented evidence and ownership make accountability difficult to establish. Keep ahead of it with the AI visibility tool for governance teams.
We help you continuously see what AI does, control how it operates, and prove how it's governed
This means...
Activity out of sight. AI behaviour becomes difficult to monitor after deployment.
Policies without connection. Governance policies remain disconnected and outdated from actual AI activity.
Responsibility in fragments. Fragmented evidence and ownership make accountability difficult to establish.
Keep ahead of it with the AI visibility tool for governance teams.
AI adoption is accelerating.
Governance needs to keep up.
AI is moving deeper into business operations. Periodic reviews, disconnected policies and scattered records can leave the people responsible without a clear picture.
One place for four essential capabilities.
See
Bring connected AI systems, workflows and operational activity into view.
Explore see
Control
Connect approved policies with operational behaviour and meaningful human oversight.
Explore control
Prove
Maintain traceable records of AI activity, control evaluations and governance decisions.
Explore prove
Manage
Assign responsibility, investigate exceptions and track corrective action.
Explore manageGovernance throughout
the AI lifecycle.
A continuous operating cycle brings observation, human judgement and evidence together as connected AI workflows run.
- 01
Observe AI activity
See connected systems at work, by project or department.
- 02
Evaluate controls
Assess activity against applicable internal policies and the law.
- 03
Investigate exceptions
Examine unusual events with their surrounding context.
- 04
Apply oversight
Review, approve and escalate to your board
- 05
Preserve evidence
Document material events, decisions and interventions.
- 06
Review the lifecycle. Report with context.
Review the AI lifecycle within a department or project: the outputs created, the files used and the people who interacted in the workflow. Bring that context together in reports for internal use and external auditors.
A clearer understanding
of AI governance.
Start with the questions teams ask most often.
Explore all FAQsWhat is Apex Audit?
Apex Audit is an AI governance platform that helps organisations see, control, prove and manage how AI operates across their business.
It provides visibility into AI systems, agents and workflows, helping governance teams understand what AI is doing, identify potential risks, apply organisational policies and maintain evidence of oversight.
Apex Audit is designed to help organisations adopt and scale AI while maintaining visibility, accountability and control.
What does runtime governance mean?
Runtime governance means monitoring and evaluating AI systems while they are actively operating, rather than relying solely on assessments conducted before deployment or reviews performed afterwards.
For example, an organisation may have a policy restricting how AI handles confidential information or requiring human approval before certain actions are completed.
Runtime governance connects those requirements to the AI workflow, allowing relevant activities, potential exceptions and oversight requirements to be identified during operation.
Apex Audit is designed to make this an ongoing process rather than a separate, occasional exercise.
Does Apex Audit make an organisation automatically compliant?
No. Compliance depends on an organisation's legal obligations, internal policies, operational practices and the decisions made by its responsible teams.
Apex Audit is designed to help organisations implement, monitor and evidence governance controls associated with their AI systems.
By maintaining visibility into AI activity, highlighting potential exceptions and recording oversight actions, Apex Audit can support organisations in demonstrating how their AI systems are governed.
It complements, rather than replaces, the organisation's responsibility for compliance.
Does Apex Audit require employees to manually report every time they use AI?
Apex Audit is designed to minimise the need for manual reporting.
When connected to an organisation's AI systems and workflows, its intended approach is to capture relevant activity and governance information automatically during operation.
This reduces dependence on employees remembering to document every interaction or completing separate compliance forms.
Certain governance activities, such as reviewing exceptions, recording decisions or providing approvals, may still require human involvement.
What happens when Apex Audit detects something outside the organisation's approved boundaries?
The appropriate response depends on the nature of the activity, the risk involved and the organisation's governance policies.
For example, an exception might need to be recorded for later review, flagged to a responsible team, escalated for investigation or referred for human approval.
Apex Audit is designed to help governance teams identify these exceptions, understand their context, assign responsibility and maintain a record of the actions taken.
Not every exception requires the same response. The aim is to help organisations respond proportionately and consistently.
Bring clarity and accountability to AI operations.
Discover how Apex Audit is designed to help your organisation monitor AI activity, apply governance controls and demonstrate oversight.