Enterprise AI governance platform
Govern AI across its complete lifecycle
AIRAS Cloud is an enterprise AI governance and risk-assurance software platform that helps regulated and risk-sensitive organisations identify, assess, control, approve, monitor and evidence the use of artificial intelligence across its complete lifecycle.
What an AI governance platform has to do
Most organisations already hold an AI policy. Very few hold an operating system for it. Governance breaks at the point where a use case has to be recorded, assessed against consistent criteria, given owners and controls, reviewed independently, decided by an accountable person and then monitored for material change.
AIRAS Cloud exists at that operational layer. It gives technology, governance, security, privacy, quality, legal and business teams one controlled workflow that produces a defensible record as a by-product of doing the work.
- A single authoritative AI inventory with named owners
- Adaptive intake that asks only what the context requires
- Deterministic, versioned risk assessment
- Applicable controls derived from assessed context
- Hashed evidence with visible completeness
- Independent review with segregation of duties
- Versioned human decisions with conditions
- Monitoring, incidents and periodic reassessment
Coverage across every kind of AI
Governance fails when the register only holds the models a data science team happens to know about. AIRAS Cloud treats traditional machine learning, generative AI, third-party and embedded vendor AI features, analytics and decision support, automation and autonomous agents as first-class entries in the same register, assessed under the same rulebook.
- Machine-learning and statistical models
- Generative and foundation-model applications
- Embedded vendor AI inside tools you already own
- Retrieval and knowledge-grounded assistants
- Decision support and automated decision-making
- Autonomous and semi-autonomous agents
Built for accountability, not for volume
AIRAS Cloud does not approve AI. Scoring is deterministic and rule-driven so the same inputs always produce the same outcome and the same explanation trace, and every approval is attributed to an authorised human reviewer who could not also have been the assessor.
That separation is what makes the record hold up in front of an internal auditor, a regulator, a customer security review or a board committee.
Where to go next
Explore the module-level detail on the platform page, follow the eight-step lifecycle, or see how deterministic assessment works in practice.
Book an executive briefing
A forty-five minute session covering your AI estate, your obligations and how a governed operating model would work in your organisation.
No pricing commitment. No confidential information required.