The decisions Regurai is built to support.
Each use case follows the same principle: the answer depends on relationships across the enterprise, not on a single register.
Eight connected decisions.
Follow the chain from the question to the evidence that makes the answer defensible.
AI Investment Decision
Should we build, buy or deploy this AI capability?
Compare options with dependencies, risk exposure and economics recorded against the same decision record rather than argued in separate documents.
- Options
- Assumptions
- Dependencies
- Costs
- Benefits
- Decision
Outcome: A defensible investment decision with recorded assumptions and approvals.
Regulatory Change
What does a new regulation affect across the enterprise?
Trace an obligation through the policies, controls, AI systems, data and processes it touches, and identify where evidence is missing.
- Obligation
- Policy
- Control
- AI System
- Data
- Evidence
Outcome: A scoped impact position rather than an organisation-wide questionnaire exercise.
AI Risk Assessment
Which AI systems carry the greatest connected risk?
Score risk using the model's dependencies — the data quality behind a system, the process it automates and the controls that supervise it.
- AI System
- Data
- Process
- Controls
- Risk Score
Outcome: Prioritisation based on connected exposure, not register position.
Technology Transformation
What happens if we replace an application or platform?
Simulate the replacement and review the affected processes, AI systems, data flows, controls and obligations before committing.
- Application
- Processes
- AI Systems
- Data
- Controls
- Outcomes
Outcome: Change sequencing informed by the actual dependency surface.
Autonomous AI & Agents
Where do AI agents operate and what do they depend on?
Register agents with their permitted scope, the systems they act on and the human accountability that supervises them.
- Agent
- Permitted Scope
- Systems
- Controls
- Accountability
Outcome: Autonomy that remains bounded, owned and observable.
Data Risk
Which AI systems depend on sensitive or low-quality data?
Follow lineage and sensitivity from data asset to AI system to business process, and see where data issues become governance issues.
- Data Asset
- Lineage
- AI System
- Process
- Risk
Outcome: Remediation prioritised by downstream consequence.
Operational Resilience
What happens if a critical technology or supplier fails?
Model the failure and follow the dependency chain into services, AI capability and customer outcomes.
- Supplier
- Technology
- Applications
- Processes
- Outcomes
Outcome: Resilience exposure expressed in service terms.
Board Decision Support
Can we explain and evidence a major AI investment decision?
Present the decision, its assumptions, its risk position and its economics from one traceable record.
- Decision
- Assumptions
- Risk
- Economics
- Evidence
Outcome: A board position that withstands challenge.