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AIRAS Cloud

Use cases

Start where your risk is.

Some clients need one product. Some need two. Some want everything. Here is how different organisations put AIRAS to work.

01

Financial services

A bank with high-risk credit models

The challenge: Creditworthiness models fall under high-risk rules and the GRC tool can't reason about the AI Act.

They choose

ARIE Risk Assessment

ARIE plugs into the existing GRC platform and returns a defensible classification and obligation map per model.

02

Healthcare

A hospital group worried about staff using ChatGPT

The challenge: Clinicians and admin staff use public AI tools and nobody can say which or how often.

They choose

Shadow AI Discovery

Shadow AI Discovery surfaces the tools in use without reading prompts, and turns them into approve, restrict or retire decisions.

03

Technology

A tech scale-up preparing for August 2026

The challenge: AI is in the product, the support desk and the sales stack, and the deadline is fixed.

They choose

AIRAS Cloud Full Licence

The full licence finds every AI use, classifies it, assigns owners and produces board-ready evidence in one programme.

04

Life sciences

A life-sciences firm facing inspection

The challenge: Validated AI tools need classification and an evidence trail an inspector will accept.

They choose

ARIE Risk AssessmentEvidence and Audit Vault

ARIE classifies each system while the Evidence Vault keeps an append-only, exportable record for inspection.

Illustrative scenarios, not named clients.

Sound like you?

Tell a founder which scenario is closest and we will scope it with you.

No commercial commitment. No confidential information required.