Our Work

Real results. Real businesses. Real numbers.

We don't do theoretical demos. Every project below was built for a real client, solving a real problem, with measurable results. Here's what happens when finance expertise meets engineering talent.

AI Automation Exact Online

Smart Booking: From 8 hours to 2 minutes

Invoice processing for MKB accounting workflows

The Problem

A mid-size enterprise was spending an entire working day — every week — on manual invoice processing. Staff would open each invoice PDF, read the values, type them into Exact Online, cross-check with purchase orders, and flag exceptions. 247 invoices per batch. 8 hours of mind-numbing work. Error-prone, soul-crushing, and expensive.

Our Approach

We built Smart Booking: an AI-powered system that scans incoming invoices (PDF, email, even photos), extracts all relevant data using large language models with RAG (Retrieval-Augmented Generation), validates against existing records, and books directly to Exact Online via the API. Human approval is required for exceptions and amounts above configurable thresholds.

95% Reduction in processing time
99.2% Accuracy rate
247 Invoices per batch
2 min Total processing time
Python Claude AI (RAG) Exact Online API PostgreSQL Azure WebSockets
Business Intelligence Power BI

95% faster reporting for MKB clients

Power BI dashboards for SMEs and accounting firms

The Problem

Multiple SME clients and their accounting firms were spending 20+ hours per month on manual reporting: exporting data from Exact Online, copying into Excel, building pivot tables, formatting reports, emailing PDFs. Every month, the same routine. Reports were always late, often contained errors, and were outdated by the time they reached the director's desk.

Our Approach

We built custom Power BI data models connected directly to Exact Online, bank feeds, and other data sources via Power Query and SQL. Real-time dashboards replaced static Excel reports. Automated scheduled delivery replaced manual email rounds. Each dashboard was tailored to the specific KPIs the business owner actually cared about — not a generic template.

95%+ Reduction in reporting time
~0% Error rate (down from ~5%)
Real-time Data freshness (was: monthly)
20+ hrs Saved per month per client
Power BI Power Query SQL Exact Online Scheduled Refresh
ERP Migration Process Optimization

Multi-entity ERP migration: €300K in discrepancies resolved

International trading company (Netherlands & Spain)

The Problem

A trading company operating three entities across the Netherlands and Spain was running on Snelstart — a system that couldn't handle multi-entity, multi-currency administration. Years of manual bookkeeping had created €300K in unresolved financial discrepancies. Payment terms averaged weeks. The director had no reliable overview of the company's financial position.

Our Approach

Full migration from Snelstart to Exact Online. We started with a forensic analysis of all three administrations, identified and resolved every discrepancy, cleaned the data, and migrated to a properly configured multi-entity Exact Online environment. We also automated the FX position management and implemented strict payment term controls.

€300K Discrepancies identified and resolved
<10 days Average payment term (was: weeks)
€35K FX trading profit generated
3 Entities unified in one ERP
Exact Online Snelstart (legacy) Data Migration Scripts FX Management Multi-entity Setup
IoT / Telemetry Enterprise Platform

City-scale infrastructure monitoring for Engie Italy

Engie — distributed heating infrastructure across Italian cities

The Problem

Engie manages distributed heating infrastructure across multiple Italian cities — boilers, heat exchangers, sensors, and control systems spread across hundreds of locations. There was no centralized way to monitor status, track maintenance, or respond to issues in real time. Field technicians relied on phone calls and spreadsheets.

Our Approach

Florent architected a centralized telemetry and remote-control platform from scratch. Real-time WebSocket connections stream hardware status data to an interactive Mapbox-powered dashboard. The system includes maintenance workflow management, alert notifications, and historical data analysis. A separate municipal management system was built for Rome, Milan, and Bologna, integrating live urban telemetry including traffic and CCTV feeds.

3 cities Rome, Milan, Bologna — live monitoring
Real-time WebSocket telemetry streaming
100s Locations centrally managed
5+ years Platform in production
Python Angular WebSockets Mapbox PostgreSQL Docker REST APIs
AI Automation WhatsApp Integration

WhatsApp expense reporting: snap, send, done

Expense management for field teams

The Problem

Field teams hate expense reports. Receipts get lost in wallets and car dashboards. Finance departments chase people for weeks. By the time expenses are booked, the month is already closed. The result: inaccurate records, frustrated employees, and wasted finance hours.

Our Approach

We built a WhatsApp integration where team members simply take a photo of their receipt and send it via WhatsApp with a short description. AI reads the receipt (OCR + LLM), extracts the amount, date, vendor, and category, and books it directly to Exact Online. The employee gets instant confirmation. Finance gets clean, categorized entries without lifting a finger.

3 sec Per expense (was: 10+ minutes)
0 Lost receipts
100% Employee adoption (it's just WhatsApp)
Real-time Booking to Exact Online
WhatsApp Business API Claude AI (Vision) Exact Online API Python AWS Lambda
Financial Advisory Data Analysis

70%+ debt reduction through data-driven restructuring

Debt restructuring for SME clients via Finbar Consultancy

The Problem

Multiple MKB clients were drowning in debt — overleveraged, with creditors closing in and no clear path to recovery. Traditional accountants had given up. The businesses were viable, but the financial complexity obscured the path forward.

Our Approach

Bart combined deep financial analysis with data-driven modeling to create credible restructuring proposals. Detailed cash flow projections, creditor-by-creditor negotiation strategies, and realistic repayment plans — all backed by transparent data that creditors could trust.

70%+ Debt reduction achieved
Multiple Businesses saved from bankruptcy
Data-driven Creditor trust through transparency
Excel / VBA Power BI Financial Modeling Cash Flow Analysis

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