Inventory and ownership
Register systems, use cases, suppliers and accountable owners.
- AI system register
- Ownership matrix
- Lifecycle status
Nova platform
Control AI from inventory to release.
Nova brings AI risk, evaluation, human oversight and decision evidence into one governance workspace.
AI inventoryRisk classificationRelease evidence
Core platform
The controls needed for an accountable AI release.
Nova connects four governance functions that are often managed separately.
Risk and obligations
Classify impact, role, controls and applicable governance requirements.
- Risk profile
- Control mapping
- Remediation actions
Evaluation and oversight
Connect scenario testing, trace evidence and human review.
- Scenario results
- Oversight checkpoints
- Incident records
Evidence and release
Record the recommendation, conditions, approver and final decision.
- Evidence pack
- Release gate
- Decision history
Release workflow
Move from intake to decision without losing the evidence trail.
Each stage has a clear output, owner and approval state.
Register
Define the system, purpose and owner.
Classify
Assess impact, obligations and risk.
Evaluate
Run scenarios and capture traces.
Review
Resolve controls and human oversight.
Decide
Approve, condition, remediate or block.
Decision evidence
Produce the right evidence for the audience.
Nova turns governance activity into concise, traceable outputs for approval and scrutiny.
View Sample EvidenceBoard summary
Risk, readiness, conditions and decisions required.
Audit record
Controls, testing, trace evidence and remediation history.
Release pack
Recommendation, known risks, owners and approval record.
Architecture
A governance layer between AI behaviour and production release.
Nova can sit alongside agents, copilots, RAG systems and decision-support workflows.
Buyer fit
Built for teams accountable for AI outcomes.
Nova supports organisations where AI decisions must withstand operational, regulatory or public scrutiny.
Public sector
Councils and public bodies governing AI-enabled services.
Regulated enterprise
Risk, compliance, audit and release teams managing material AI use cases.
AI product teams
Teams that need repeatable controls before deployment.