Govern AI use cases with risk registers, controls, evidence and human oversight.
CARAgrc helps organisations bring structure to AI adoption by identifying AI use cases, assessing AI risks, assigning controls and tracking governance actions.
From internal copilots to customer-facing automation, CARAgrc helps teams create a practical AI governance operating model that supports innovation without ignoring risk.
- Maintain an inventory of AI systems, use cases, owners, data types and business impact.
- Assess AI risks such as bias, privacy exposure, security weakness, explainability gaps and human oversight failure.
- Map AI controls to governance frameworks such as NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894 and internal policies.
- Track human-in-loop reviews, approvals, exceptions, testing evidence and remediation actions.
AI governance should not slow innovation; it should make it safer
Teams are adopting AI quickly, often before governance processes are ready. CARAgrc gives organisations a practical way to document AI use, evaluate risk and show that responsible controls are in place.
Make AI risk visible before it becomes a business issue
AI can create security, privacy, legal, ethical, operational and reputational risks. CARAgrc helps classify and assess these risks so they can be owned, treated and monitored.
Human oversight and accountability
For high-impact AI use cases, human oversight must be more than a statement. CARAgrc can track approval roles, review checkpoints, escalation conditions, testing evidence and control ownership.
Govern your AI initiatives
AI use case inventory
Maintain a centralized registry of all internal and customer-facing AI systems.
AI risk register & scoring
Assess and score AI-specific risks like bias, privacy exposure, and hallucination.
Model & data context fields
Capture essential metadata about AI models, training data sets, and third-party vendors.
Control mapping
Map AI controls directly to frameworks like NIST AI RMF, ISO 42001, and EU AI Act.
Human-in-loop oversight
Track human review checkpoints and operational oversight for high-risk AI decisions.
Policy & approval workflow
Route new AI use cases through structured approval and policy validation workflows.
Evidence & exceptions
Collect testing evidence, manage exceptions, and track remediation tasks seamlessly.
AI governance dashboards
Provide management and the board with clear reporting on AI risk and adoption maturity.
Realise the business value of responsible AI
Convert product capability into bottom-line impact for decision makers, regulators, and stakeholders.
Visibility into AI usage
Create organization-wide visibility into exactly where and how AI is being used across different business units.
Repeatable risk assessment
Assess AI risks (bias, data privacy, hallucinations) in a repeatable, defensible, and structured way.
Responsible AI adoption
Support the safe and responsible adoption of AI tools and copilots across all business units without stifling innovation.
Audit & Regulatory readiness
Prepare proactively for future audits, client security questions, and emerging regulatory expectations like the EU AI Act.
Connected CARAgrc integration
Connect AI governance directly with your existing cybersecurity, data privacy, compliance, and third-party risk management programs.
Frequently Asked Questions
Ready to make AI governance easier to manage?
Ready to see how CARAgrc can support your AI governance priorities? Book a demo and we will show you a practical workflow based on your current maturity, industry and compliance requirements.