The connected operating layer for enterprise AI governance.
Regurai is the operational intelligence layer for organisations navigating the AI era. It connects strategy, enterprise architecture, technology, data, AI, risk, regulation, controls, economics and operational performance in one living model — so complexity can be understood, governed and acted on with confidence.
Thirteen connected layers.
Relationships. Dependencies. Consequences.
AI Systems & Models
- What it represents
- AI systems, models and agents, with owners, purpose and lifecycle state.
- What it connects to
- Data, applications, processes, risks, controls and obligations.
- Decisions it supports
- Build, buy, deploy, restrict, retrain or retire.
- Risks it exposes
- Model risk, drift, excessive autonomy and regulatory exposure.
- Downstream consequence
- A model change re-scores connected risk, control and value views.
Eight stages, running continuously.
Understand
Discover AI systems, data, applications, processes, technologies, risks and controls, and establish ownership for each.
Five modules over one model.
Connect governance with economics.
Know whether the AI investment is worth doing — and under what conditions.
Govern the data behind the AI.
Know what your AI depends on — and whether it can be trusted.
Put AI inside the enterprise architecture.
Understand where AI lives in the enterprise.
Explore tomorrow before it happens.
Model the consequences before committing to change.
Make complex decisions visible, explainable and defensible.
Options → Assumptions → Dependencies → Risks → Impacts → Costs → Benefits → Outcomes.