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TIER A BLUEPRINT

Invoice Classification + Anomaly Detection

Auto-classify invoices to the right GL codes and flag the anomalies - with an audit trail your accountant trusts.

from €1,290

TODAY'S INBOX - CLIENT: UAB PAVYZDYS

Incoming invoices · 412 today
UAB Transitas€4805001 Transport · 0.97
Telia Lietuva€896311 Ryšiai · 0.99
Biuro Servisas€2136210 Kanceliarija · 0.95
Nauja Tiekėja MB€1,120? · 0.58 → review
UAB Transitas€2,340⚠ DUPLICATE

today: 71% auto-coded · 1 routed to review · 1 anomaly blocked

ANOMALY · UAB Transitas · €2,340

Why it was flagged
Same vendor, same amount, same services
Original already paid 12 days ago
# Invoice number differs by one digit
matches ▸ SF-2026/0688 · paid 2026-07-02 · €2,340.00
→ BLOCKED from posting · review queue
the accountant decides - with both invoices side by side
every posting carries its reason ⛓ · client taxonomy v3 · drift OK

How it works

01

Connect the accounting system

i.MAS, Sąskaita123, Rivilė or your stack - read-only. Trains on each client's own historical coding: their past decisions are the labels.

02

Classify per client taxonomy

Lithuanian-language tuned - generic OCR misreads LT invoice text; this doesn't. Each client's GL/VAT preferences learned separately.

03

Confidence routes the doubt

High-confidence postings flow through; anything uncertain lands in the review queue with its best guess. It never silently miscodes.

04

Anomalies caught in real time

Duplicates, VAT mismatches, vendor changes, Benford outliers - flagged on arrival with the reason, not discovered at quarter-end.

The Four Guarantees™ - this build

Measured value

~70% of manual coding eliminated + anomaly catches (duplicates, wrong VAT, vendor fraud). Classification-accuracy gate per client taxonomy.

Defensible

A reason for every classification and every flag - an audit trail your accountant, and their auditor, accepts. GDPR Art. 22 per anomaly.

Self-correcting

Calibrated confidence routes low-certainty invoices to review; corrections feed back per client; new-vendor + category drift watched.

Yours & everywhere

Accounting-system write-back; your cloud, full source. MCP endpoint your accountant agents can call.

The number, sized honestly

Reference buyer: Lithuanian accounting firm or CFO office managing ~50 SMB clients, ~10,000 invoices/month, ~3 hrs/week per client on coding + checks.

~70% of manual coding eliminated - the agreed number (conservative)
€80-120k per year ≈ 3 FTE-equivalents of coding work, at firm scale
~3 wks payback at the PoC tier
€10-30k per year in caught duplicates, VAT errors and vendor fraud

Three ways to own it

Tier What you get Price
Scaffolding The full repo - classifier + anomaly layer + review queue, LT-language baseline, VAT taxonomy, audit log, MCP server. €1,290
PoC ★★RECOMMENDED Trained on your invoice history and GL codes - coding accuracy and anomaly quality measured against your accountant's decisions. Code + quality report yours. No guarantee at PoC. from €3,900
Implementation ★★★ Production: accounting-system integration, review-queue routing, duplicate blocking live, drift monitoring, retraining, monthly accuracy report - the agreed number (conservative) attaches here. from €12,000

★ = engagement depth. PoC is the recommended path: quality proven on your data before production money. The PoC carries no performance guarantee by design; the agreed number (conservative) attaches at Implementation, informed by the PoC report.

What we don't promise

Every client codes differently - and the model has to learn each one. Expect 2-3 weeks of human-in-the-loop tuning per client before steady-state accuracy; we roll clients in waves, not all at once. Write-back stays gated per client until that client passes the accuracy bar - your firm's reputation posts nothing it isn't sure of.

Ready to see your own number?

Request the build: within 48h you get a personal reply with the value sized to your volume.

No commitment · reply within 48h · your data stays in the EU