Use Cases

Where retained, governed AI reasoning wins

Every deployment below shares one property: the decisions carry liability, and the organisation must be able to show what its AI considered when the answer is challenged.

Financial Crime / AML

Investigations that carry their own evidence

A SAR decision is only as strong as the record behind it. Multi-step investigations read transaction histories, cross-reference alerts, and conclude over several passes, and today the reasoning state behind each step is discarded the moment the answer is delivered. When the FIU, an auditor, or a court asks what the system considered at step three, a text log is not an answer.

Every turn of a Revyzor-backed investigation is retained losslessly, cryptographically signed at capture, and bound to the specific model and organisation that produced it. The investigation record is a routine artefact of doing the work, not a reconstruction after the fact.

  • Cryptographically signed record for every turn of the investigation
  • Sessions resume without re-reading: an investigation paused on Friday continues Monday from the exact state
  • Encrypted at rest; the retained state is governed like the case file it derives from
Run the live AML demo(login required)

Telecoms

Complaint resolution that survives the ombudsman

An AI agent denies a billing complaint. The ombudsman asks what the model knew at step three and whether the record has been altered since. A prompt log shows the calls that were made; it does not show the reasoning state, and it carries no signature that would reveal alteration. Under the EU AI Act's record-keeping obligations and GDPR subject access, that gap is now a compliance gap.

Revyzor runs inside your own data centre, on your GPUs, under your keys. Each decision step is retained, signed, and encrypted, and the retained state is compressed losslessly, so what is stored is bit-identical to what the model actually held.

  • Local deployment: no data leaves your jurisdiction, no dependency on any frontier API
  • GDPR subject access answered with a complete, signed record
  • Crash recovery from encrypted checkpoints: the session is restored from storage instead of re-read from the document
See the regulatory mapping

Private Banking & Wealth

Conversation memory that persists across weeks, not minutes

A relationship manager's AI assistant rebuilds its understanding from scratch every session. Long-running client contexts, weeks of correspondence, portfolio discussions, suitability considerations, are re-read and re-paid-for on every restart, and nothing about the assistant's prior reasoning is retained or governable.

Revyzor persists the assistant's working state to encrypted storage and reloads it instead of re-reading the history. The client context built up over weeks becomes a durable, governed asset: each additional exchange appends a few megabytes rather than repeating the whole read, and every retained state carries a signed credential.

  • Persistent client memory across sessions, restarts, and hardware changes
  • Follow-up exchanges stored at a fraction of the raw state size
  • Retention on your terms: encrypted, signed, and subject to your retention policy
See session resume live(login required)

Running AI on decisions that carry liability? Talk to us about a pilot.