AI Governance & Operational Intelligence for Complex Organisations.
Govern AI models, agents and AI-enabled applications in one place — connected to the data they use, the processes they affect, the risks they create, the controls that constrain them and the obligations they must satisfy. Automate control evidence, understand enterprise impact and demonstrate accountability.
See. Understand. Govern. Act. · Built for complex and regulated organisations.
A model change re-scores connected risk, control and value views.
Change one part of the enterprise and the connected areas re-score. Relationships. Dependencies. Consequences.
AI is governed in one place. Its consequences land everywhere else.
GRC, AI governance, data governance, enterprise architecture and finance each hold part of the picture. None of them holds the relationships between the parts — so the impact of an AI change has to be reassembled by hand, every time it is questioned.
Regurai sits above and between existing enterprise platforms, bringing their information into a connected, decision-ready context.
One connected model, governed as a continuous cycle.
Regurai keeps AI alongside the data, technology, processes, risks, controls, obligations and value connected to it, and runs governance as an ongoing cycle rather than a periodic exercise.
AI Governance
Know what AI exists, what it does and what risks it carries.
Data Governance
Understand the data behind AI and how it is connected.
Enterprise Architecture
See where AI fits within the wider technology environment.
Simulation & Scenarios
Understand what could happen before making a change.
Decision Intelligence & Economics
Understand options, risks, costs, benefits and outcomes.
See the enterprise model, the intelligence cycle and the five modules in detail.
Understand
Discover AI systems, data, applications, processes, technologies, risks and controls, and establish ownership for each.
Govern every AI system, and everything it touches.
AI is being adopted faster than governance can follow. Model registers, risk registers, data catalogues, control libraries and architecture repositories each hold part of the answer, and none of them hold the relationships between them.
AI Model Governance
A governed register of models with ownership and lifecycle state.
AI Agent Governance
Constrain what autonomous agents may do, and against which systems.
AI Risk Management
Risk assessed against dependencies, not in a standalone register.
Control Intelligence
Controls connected to the AI systems they actually constrain.
Regulatory Intelligence
Obligations mapped to policies, controls, systems and evidence.
Data Foundations for AI
The data behind each AI system, with lineage and sensitivity.
Lifecycle & Approvals
Structured assessment, review and approval with separation of duties.
Audit Trails & Evidence
Prove what happened, who approved it and on what basis.
Change one AI model. Understand the business consequence.
Trace a single model change from the AI system through the applications, data, risks, controls and obligations it touches, to the evidence and business impact it produces.
A credit-decisioning model is upgraded to a new version.
One change to one AI system. In most organisations, the consequences sit in six different tools and four different teams. Here is the same change traced across one connected model.
Select a step to see what the change reaches from there.
The model change is registered
The model version, owner, purpose, training data lineage and intended decision scope are recorded against the existing AI system entry — not as a new, disconnected record.
- Model version and owner
- Intended decision scope
- Change request and approver
The organisation knows an AI system changed, and who is accountable for it.
Built for complex organisations, not one industry.
Regurai is designed for organisations where AI, data, technology, regulation, risk and operational complexity intersect.
Financial Services
Banks, insurers, asset managers, payments and fintech.
View industryGovernment & Public Sector
Government departments, agencies, regulators and local authorities.
View industryHealthcare & Life Sciences
Hospitals, health systems, pharmaceutical companies, medtech and research organisations.
View industryTelecommunications
Network operators, telecom providers and digital infrastructure businesses.
View industryEnergy & Utilities
Utilities, infrastructure operators and critical asset owners.
View industryTransport & Logistics
Airlines, rail operators, airports, ports and logistics providers.
View industryManufacturing
Advanced manufacturing, automotive and complex supply chains.
View industryRetail & Consumer
Large retailers, e-commerce operators and consumer AI and data environments.
View industryTechnology & SaaS
Software companies, cloud providers and organisations embedding AI into products.
View industryProfessional Services
Consulting, legal, accounting and other highly regulated professional organisations.
View industryDesigned for organisations where decisions must be defensible.
Trust is built into the model: role-based access, separation of duties, immutable audit records, evidence trails and traceable decisions.
Role-based controls
Deny-by-default access enforced server-side.
Immutable audit
Append-only records of decisions and approvals.
Evidence trails
Evidence produced as a by-product of governance.
Standards context
Aligned to recognised AI and risk frameworks.
Enterprise architecture
Multi-tenant, separated environments.
Integration capability
Sits between existing enterprise platforms.
Traditional platforms manage records.
Regurai connects decisions.