Use Cases

From AI decision to compliance evidence. In every regulated context.

Aegis Trace provides complete decision provenance for every regulated industry where AI systems influence outcomes that must be evidenced. The same API, the same certificate format, the same tamper-proof audit trail.

An AI suitability engine recommends reducing a client's position. Six months on, the FCA asks why. The signed certificate is already there.

Robo Advisor

A robo-advisory platform serving clients across multiple jurisdictions evidences every automated recommendation against each region's regime, one API, many regulators.

A large institution runs AI everywhere, coding assistants in engineering, copilots across the workforce. Every AI-influenced decision is captured, so internal AI adoption stays evidenced and defensible.

Insurance & Underwriting

An automated underwriting model declines a policy. The applicant invokes their GDPR Article 22 right to an explanation. The record is ready.

An insurer automating underwriting and contract review at scale evidences each AI-assisted assessment, every decline, every flagged clause, without slowing the desk.

AI Credit Decisioning

An AI credit model declines a mortgage. The borrower appeals. One signed decision record, full provenance, defensible.

Algorithmic Trading

A trading algorithm acts through a volatile session. The FCA requests a full reconstruction, exportable in MiFID II format.

A clinical decision-support system flags a drug interaction. The MHRA needs the audit trail, validated, redacted, sealed.

Healthcare Digital Twins

A digital-twin provider modelling hospital outcomes uses AI to assess how treatments could improve, and must evidence every model-driven inference to stay compliant across the EU and UK.

A financial-software firm expanding AI across its own engineering and internal operations evidences each AI-driven decision, so its compliance posture scales with its AI footprint.

Pharma & Clinical Trials

An AI model screens candidates for a clinical trial. A regulator asks the sponsor to justify every inclusion and exclusion, each call is sealed and unaltered.

An AI monitoring system escalates, or suppresses, a suspicious-activity alert. The regulator asks the firm to evidence each call. Every decision is on record.