ARKHEIA

Your dockets are handwritten. Your invoices are clean. The gap is where the money leaks.

A governed AI layer that reads the dockets, reconciles them against the invoices, and shows what doesn't add up — acting only on what it can read, holding the rest for a human, and refusing to invent the fields it can't make out. It earns its scope one verifiable line at a time.

01The nightmare input

Real-world handwritten haulage tickets — smudged, half-legible, scrawled in a cab. A nightmare for AI and humans alike. Click any docket to enlarge.

02The invoices

The supplier's side is pristine: three clean Vale Aggregates invoices, neatly typed. Everything looks correct — until you check it against the dockets. Click to enlarge.

03Reconciliation result

Every invoice line read off the dockets and checked against the record. Rate £214/load. Here is what doesn't add up.

£1,070 wrongly billed
caught on £3,210 invoiced · +£642 held to resolve
InvoiceTicket noMaterialLoads£StatusWhy

04The fail-safe

The trust moment — what the system does when it genuinely cannot read a field.

◆ Refuses to guess

Two dockets are on record — but the vehicle reg, material or date is genuinely illegible. The system refuses to guess and routes both to a human as requires‑review. It never invents a number it can't read — the same discipline your yard team uses when the writing won't come clear.

Every governed decision — approved, flagged or held — leaves a tamper‑evident receipt: what was read, what couldn't be, and who it went to.

05Ask the data

Ask in plain language; the answer is grounded in the reconciled record. Pick a question.

Pick a question above — the answer appears here.

In the live system this answers any free-text question against your real data.

This is one workflow. Arkheia can govern the wider movement‑control picture too — approvals, blocked movements, two‑way verification, scheduled compliance.
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