Is This for Someone Like You?

You're the person most of our builds are actually for: running finance in an owner-managed or mid-market business, with the ledger under control and everything around it — chasing, matching, costing, reporting — done by hand. You don't want a new ERP, and you don't want a SaaS tool that models someone else's process.

What we build is the layer between: a platform on your own infrastructure that does the work your ERP was never designed to do, configured by your team in an admin screen — templates, cadences, thresholds, even the AI prompts — without a change request to anyone.

You're the review that kills or blesses the project — and our architecture is designed to survive it. Every build runs in your own Azure tenant. The ERP is read-only: data flows out through Azure Synapse, a Microsoft Fabric Gold endpoint or an API layer, and nothing ever writes back to the books. Sign-on is Microsoft Entra ID with role-based access you control and revoke. Managed identities throughout — no connection-string secrets to rotate. No new system of record, no copy of your ledger in someone else's SaaS.

AI actions are gated: anything customer-facing goes through a human approval queue, with hard stops for legal threats and bankruptcy mentions. Before the Norwegian collections agent touched a real customer, it passed a 23-scenario validation harness covering every outbound stage and inbound intent.

One of our production builds is literally this situation: a one-person AR team facing a €7.6M ledger and 1,080 open invoices, in multiple languages. The agent reads the ledger every morning, works out the correct chase stage for every single account, drafts each email — grounded strictly in ledger data — and queues them for approval. You stay the decision-maker; the machine does the drafting, the staging and the memory.

Replies come back classified — promise to pay, dispute, invoice copy request — so the follow-up work arrives sorted instead of buried in an inbox.

Our AP build processes ~1,500 supplier invoices a month: AI extraction reads each document, the vendor and PO resolve against the live ERP in real time, and lines match deterministically — SKU by SKU, unit-of-measure by unit-of-measure — with AI stepping in only for the inconsistent cases. A damaged-parts credit memo on one line doesn't hold up the other 49.

The part that matters most is the gate: every invoice passes a mathematical reconciliation check before it can post, so extraction errors are caught by the system instead of by a supplier phone call.

The pattern across our builds is turning the ERP's records into operational visibility: a collections platform that re-scores every payer's risk each morning across $11.8M of receivables; a job-costing engine that computes true per-trip profitability instead of a month-later Excel reconstruction. The numbers stop being archaeology and start being a control panel.

And because the systems act as well as report, the visibility compounds: risk scores drive who gets chased today, and cost allocation runs surface what manual reconstruction misses.

Native consolidation in Business Central and D365 F&O starts breaking down past roughly five to ten entities, and shared services centres hit walls neither ERP was designed for: cross-entity worklists, one dunning policy over many ledgers, intercompany eliminations that live in spreadsheets. The same read-only architecture that powers our single-entity builds extends naturally here — a Fabric or Synapse layer consolidates the entities, and the workflow platform runs one process across all of them.