You will never see most of them. CRISAM® shows you the few that matter: where a boundary weakens, what is at stake and who can act, before the harm scales.
When one of them goes wrong
You do not lack governance. It is just not connected to the decision at the speed the decision is operating.
Illustrative story about a fictional company, based on the CRISAM® Machine Speed Governance keynote.
The shift
You do not need to slow AI down. You need to see it, bound it and stop it.
Aviation did not slow every aircraft to the speed of a committee. It built air traffic control. Your AI governance can work the same way: visible, bounded and interruptible.
The same Monday, with CRISAM®
The model change is linked to the decision. The threshold is crossed. Within minutes you see what changed, what is at stake and how much time is left, with your authority to roll back.
Built for your role
Risk managers, CROs and compliance officers
Chief AI Officers, CDOs and heads of AI governance
Functions
Configure the module to your framework instead of developing it. Your existing AI, data and ticketing systems stay in place.
Build without code
Capture each material AI decision with exactly the fields your framework needs.
Filter, sort and edit all material AI decisions in one list.
Guide owners step by step through classification and assessment.
Extend objects and relations, such as models, suppliers and decisions, without development.
Adapt input forms yourself, without waiting for a release.
Collect information from AI owners and departments in structured surveys.
See, decide, report
Supports assessments and descriptions with suggestions that you review and approve.
Build cockpits for the board, risk and AI governance from the same data.
Board reports and evidence packs, adjustable without development.
Follows risk along its dependencies, from model and supplier to decision and outcome.
Connect and run
Escalations, approvals and reminders run in the system, not in email threads.
Bring signals from model monitoring, data platforms and ticketing into CRISAM®.
Connect Microsoft 365 workflows to CRISAM® without coding.
Exchange control catalogues and evidence in the open OSCAL format.
Run CRISAM® in the cloud or on premises, licensed to fit your organisation.
Regulations
An AI system rarely falls under one regulation. Purpose, boundaries, intervention and accountability are set once and linked to every obligation that points at them. One control covers several obligations; one piece of evidence serves several reviewers.
Walk into the boardroom ready
The dashboard is not there to prove that nothing will go wrong. It is there to prove that you can see material change, understand the consequence, put the decision before an authorised human and respond before the harm scales.Human authority, not human approval
Questions
CRISAM® AI Governed Autonomy keeps AI-enabled decisions under human control when they run faster than any person can follow. People set purpose, permission, boundaries, intervention and accountability. AI operates within those boundaries, and evidence shows continuously that it still does.
No. A person approving every transaction creates delay, not control. If that person cannot understand the consequence, has no time to intervene or cannot safely disagree, the approval is theatre. The human must govern the system, not every output.
No. AI models, MLOps, cyber and data platforms remain necessary. CRISAM® is the connected GRC control plane above them and gives their signals meaning in governance terms.
Dynamic forms, power lists, wizards and data model, forms, survey, report and dashboard designers, AI assistance, risk flow, a workflow engine, OSCAL, REST API integrations, a Power Automate connector and flexible deployment and licence options.
The EU AI Act, DORA, NIS2, the GDPR and, in the UK, Provision 29 of the Corporate Governance Code. Each obligation is attached to existing records instead of starting a new project.
With a conversation with Andrew McIntyre about the AI-enabled decisions that would concern your board if they produced the wrong outcome at scale.
Whitepaper series
The Machine Speed Governance series asks how a board stays in control when AI decides faster than any person can follow, and answers it in three steps.



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Conversation
Thirty minutes with Andrew McIntyre: which AI-enabled decisions would concern your board if they went wrong at scale, and how you can govern them at machine speed.

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