AI compliance
AI that can survive an audit.
We build AI systems with the rules designed in.
── Pods deployed with ──
What we do
Disclosure
Our voice agent says she is an AI in the greeting, by design.
Consent boundaries
Inbound only without prior consent, per UK PECR.
Human oversight
Named gates where a person approves before anything irreversible.
Full audit trails
Every action logged, every output traceable to source.
How we do it
- 1
Map the obligations
Your advisers define them, we implement them.
- 2
Design the controls
Permissions, disclosure, and human gates.
- 3
Build the trail
Every action logged and traceable.
- 4
Prove it
Auditable behaviour, demonstrated end to end.
What you'll achieve

Evidence coordination
Source documents, submissions, and decisions in one traceable workspace.
Read the case study

Bilingual records
Built for teams working across jurisdictions and languages.
Read the case study

Decision provenance
Who decided what, when, on which evidence.
Read the case study
Measured results
Dongchu's registration-process time fell 80% with the workspace live.
Case studies
We have done this before.
Common questions
Are you compliance consultants or lawyers?
Neither. We are engineers. We build systems that implement the constraints your advisers define, and we design AI products so the obligations are met in the software rather than in a policy document.
Can you make our existing AI use compliant?
Often the honest answer is to rebuild the risky part with the controls designed in: permissions, logging, disclosure, and human gates. We can assess what you run today and say which parts those are.
What regulations do you build against?
UK GDPR and PECR most often, sector rules where the client brings them, and the emerging AI-specific frameworks as they land. Your advisers own the interpretation; we own the implementation.
Tell us what you need built.
A 20 minute call is enough to work out whether a pod fits. The first week of work is defined on that call.

