Regulated & compliance-grade systems
Health data, age-restricted goods, advertising-claim law. Compliance built in from the start.
A live platform holding special-category health data under UK GDPR.
Consent capture, data minimisation, an isolated Firebase project, an audit log and data-subject export. Running today.
Automated claims checks on a live regulated catalogue
A pre-commit guard checks changed product copy against a claims blocklist, with its known gaps written into the guard.
Age gates and claims walls for restricted-product storefronts
A fail-closed age and consent gate plus a categorical content wall, built for a research-use products storefront.
Handling data or claims the law is strict about? Talk it through.
No commitment and no fixed quote until it is scoped. If we go further, you own what we build.
An LLM can draft or flag. Code or a person fires the payment or trade.
Guardrails built into the platform
Agents reach the outside world only through their declared output. Each action lands on a hash-chained audit trail. One client can be paused, or the whole estate stopped at once.
Expense-claim review, switched on
For a timber trading group: an agent that checks expense claims against receipts, looks nothing up elsewhere and keeps data minimal. Switched on; first real use not yet on record.
- 01
Discovery
Map the data, the rules and where a person stays in the loop.
- 02
Build
Consent, isolation and gating from the first commit.
- 03
Handover
Audit trail and export paths proven working before go-live.
- 04
Maintain
Light care as rules or the catalogue change.
What kind of “regulated” does this cover?
Special-category health data under UK GDPR, age-restricted or claim-bound catalogues, and money paths an LLM must not trigger.
Do you handle the legal side too?
No. MAST builds to the rules you or your solicitor set, with consent flows, isolation, audit log and gates that hold that line.
Is the money-discipline pattern only for finance systems?
No. It fits wherever a payment or financial commit is in scope: the LLM proposes, code commits, a person stays in the loop.
Tell us which job eats your week. In half an hour you will know whether an agent is worth building for it.
No commitment and no fixed quote until it is scoped. If we go further, you own what we build.