What we build

From document checks to ERP connections: systems built around work your team still handles by hand.

Contract analysis in production

"From 2 hours of manual review to mere minutes"

For a full-service industrial contractor, we engineered an AI platform that automatically cross-references procurement terms, scope deviations, and FME conditions against standard templates. What previously required hours of tedious manual review now delivers a structured risk report in minutes.

The system flags missing liability caps, non-standard payment terms, and hidden warranty risks before contracts are signed.

Deviations
410
contractual discrepancies flagged across 35 agreements
Risk analysis
181
critical and high risk items identified, including 45 critical
Review time
-85%
turnaround reduced from 2 hours to minutes

Contract analysis

Plot D3 — Havenkwartier Zuid

How can I assist you today?

Ask a question, analyze documents, or compare purchasing terms and contracts against your quote.

Raamovereenkomst-D3.pdfInkoopvoorwaarden.pdf· Linked to Quote MTI-2026-0417

In a fictional file, we compare a framework agreement and purchasing terms with the contractor's own quote. The demo shows how deviations surface, what they mean legally, and how a response follows directly from them.

Architecture you can understand

We build systems designed to last for years. With clear ownership, visible controls, and integrations tailored to your existing operations.

01

First the process, then the system

We start with the manual work causing friction today: verifying documents, retyping data, preparing quotes, or identifying risks. Only then do we determine the required architecture.

02

Robust code over brittle workflows

Critical business logic does not belong in fragile no-code chains. We engineer version-controlled Python and n8n systems with type-safe validation, logging, and explicit error handling.

03

Human-in-the-loop where it counts

Automation removes repetition, not your team's professional judgment. For financial, legal, or operational risks, decision-makers remain visible in the loop.

Financial validation in production

Every payment batch verified before release

For a technical service provider, we built an automated validation pipeline that verifies outbound payment batches before disbursement. The system validates IBANs against vendor master data, audits invoice balances, and enforces vendor payment discounts.

In the first production days, 338 payment lines were audited and all 9 batches matched with €0.00 variance. €94.8K in discrepancies was flagged for human review.

The customer reports saving at least four hours of checking each week.

Flagged
€94.8K
in anomalous payment lines routed to review, 23% of value
Volume
338
payment lines audited, €417,425.58 in total
Automated
82%
277 lines verified and released automatically

Payment batch check

Compare payment lines with invoices and supplier records before the batch goes to the bank.

  • Invoice and payment amount
  • Supplier IBAN
  • WKA G-account allocation

The interactive example is available on a larger screen.

Before a payment file goes to the bank, this example compares each line with invoices and supplier records. The accounting team reviews differences in amounts, IBANs or G-account allocations.

Talk through your process

Tell us which work takes time or leads to errors. In a 30-minute call, we will look at where automation could help.