Compliance reporting automation
Certificates, inspections, method statements, training records and audit evidence live in PDFs, inboxes and a folder structure only one person understands. The work is real. The chasing is not, and the chasing is most of it.
- Typical first build
- 4 to 8 weeks
- Evidence
- Assembled, not re-keyed
- Audit trail
- Complete by default
Compliance work is mostly chasing
Ask a compliance manager where their week goes and the answer is rarely analysis. It is finding out which certificates expire this month, emailing the people who hold them, emailing them again, extracting values from returned PDFs, updating a spreadsheet, and assembling all of it into a pack before an audit.
None of that requires professional judgement. The judgement is in deciding what to do about a genuine gap, and that is the part the chasing crowds out.
What we automate
Track what expires
Certifications, inspections, insurances, training records and asset service intervals held in one register with real expiry dates, built from the documents you already have rather than a fresh data-entry project.
Chase automatically
Reminders go out on a defined schedule to the person who actually holds the record, escalating when they are ignored. Returned documents are read, values extracted, and the register updated without anyone re-keying anything.
Assemble the pack
An audit or a client pre-qualification asks for evidence in a particular shape. The system builds the pack from the register rather than someone rebuilding it from folders each time.
Flag genuine gaps
What is expired, what is expiring, what is missing and what is inconsistent, surfaced early enough to act on rather than the week before the audit.
Where the rules are complicated
Some compliance regimes are not a checklist. They are a scoring model: weighted criteria, conditional logic, thresholds that decide a rating. That logic usually lives in a large spreadsheet maintained by one expert, and it breaks the moment the organisation tries to move to a platform that cannot calculate.
Where that is the situation, the answer is a governed data layer that holds the rules, reads from and writes back to the platform of record, and reconciles against historical results so you can prove the new system agrees with the old one before you trust it. Replicate first, verify, then improve. Anything else asks people to trust a black box with a rating that matters commercially.
Fixed scope and a fixed fee, on 20/30/50 milestone terms. No platform licence from us, and you own the cloud tenant it runs in. Where the shape of the work is not yet clear we start with a fixed-price discovery that converts into the build price.
Common questions
No, it is the normal starting point. We build the register from the documents you already hold, extracting the values rather than asking anyone to re-key a few thousand certificates by hand.
Where to go from here
Tell us what you'd like to do with AI.
Plain English is fine. We'll ask the technical questions on the call, and if we're not the right fit we'll say so on the first one.