Regurai capabilities, grouped the way you govern.
Explore Regurai by capability rather than by technical implementation: AI governance, enterprise architecture, data governance, risk and control, evidence and assurance, and decision intelligence.
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AI & Model Inventory
Register AI systems, models and agents with owner, purpose, lifecycle state and the business processes they support.
AI Risk & Impact Assessment
Assess model and agent risk against the data, processes and controls each system actually depends on.
AI Approvals
Record who approved an AI system to run, on what conditions, and when the decision must be revisited.
AI Agent Oversight
Track autonomous agent behaviour, escalation points and the human oversight applied to each one.
AI-Enabled Application Governance
Govern AI embedded inside business applications, not only standalone models.
Capability Mapping
Map what the organisation is able to do, independent of how it is currently organised or resourced.
Application & Technology Landscape
Maintain the application and technology estate with ownership, lifecycle state and business support.
Data Architecture
See how data domains, flows and platforms underpin applications, processes and AI.
Dependency Analysis
Trace relationships across AI, data, processes, applications, technology and controls in both directions.
Portfolio Analysis
Compare the estate on risk, cost, lifecycle and criticality to prioritise rationalisation and investment.
Architecture Intelligence
Query the architecture in plain language and follow the connected structure behind each answer.
Data Catalogue
Register data assets with ownership, classification, sensitivity and the systems that consume them.
Business Glossary
Agree the meaning of business terms once and connect them to the data that represents them.
Data Quality
Monitor quality rules and issues where they matter — against the AI and reporting that rely on them.
Data Governance Maturity
Assess governance maturity across capability areas and track improvement over time.
Governance Automation
Automate recurring governance routines so ownership, review and escalation do not depend on memory.
Lineage & Sensitivity
Understand data origin, movement and usage, including sensitivity signals behind each AI system.
Risk Centre
Assess operational, regulatory and model risk continuously as the enterprise model changes.
Exceptions
Route breaches, overdue actions and governance exceptions to a named owner with a due date.
Controls Library
Maintain preventive, detective and corrective controls with owners, design and testing state.
Framework Coverage
Map requirements to controls and evidence, and see where coverage is weak or unevidenced.
Operational Resilience
Connect important business services to the AI, data, applications and suppliers they depend on.
Compliance
Connect obligations to policies, controls, systems and the evidence that supports each position.
Evidence Vault
Hold governance evidence against the control, decision or obligation it supports.
Audit Explorer
Reconstruct what was decided, by whom and on what basis, as at a point in time.
Audit Log
Maintain a traceable record of changes, approvals and access across the platform.
Reports
Produce board, risk, audit and regulator-facing reporting from the same connected model.
Role-Based Dashboards
Distinct views for CIO, CDO, architecture, risk, compliance, audit and board users.
Simulation Lab
Model technical, operational and regulatory change and review the connected impact before committing.
Decision Support
Structure options, assumptions, dependencies and trade-offs into a defensible decision record.
Economic Analysis
Evaluate ROI, payback, NPV, IRR and sensitivity alongside risk and compliance impact.
AGEE
Attach the economic consequence of a governance decision to the decision itself.
Governance Assistant
Navigate findings and identify credible next steps within the connected model.
Showing 33 of 33 capabilities.