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Cases and use cases

How we help organisations with the AI Scan, AI Adoption and AI Agents. For each case: the challenge, our approach and what the client gets.

AI Adoption

GenAI workshops for Van Meerbeeck Metalen

Sector
Steel trading and processing
Service
AI Adoption
Format
Hands-on workshops, about 25 people

Challenge

Under pressure to work more efficiently, this Belgian family business wanted to find out what GenAI could do for sales, HR and operations without overloading its teams.

Approach

Hands-on GenAI workshops for about 25 employees, using their own documents and assignments. Together we built simple AI workflows for analysis, documentation and communication.

Result

More confidence and a shared AI language, concrete use cases in HR, technical services and sales, and advice to management. The CEO immediately booked a second training for another department.

AI Agents

Automated invoice checks for an energy company

Sector
Energy
Service
AI Agents & automation
Format
Proof of concept, 3–4 weeks

Challenge

Customers refuel at partner stations, and those partners invoice the energy company. There was no independent, automated check that the invoices match the agreed rates, fees and rebates. That meant a lot of manual work and a risk of variances nobody notices.

Approach

We turn the commercial agreements per partner into fixed calculation rules. The tool converts each invoice format (Excel or CSV) into one data model, calculates the expected amount per transaction and compares it with what was invoiced. We deliberately chose a solution without AI: the rules are fixed, so every result has to be 100% explainable. Everything runs separately from SAP and other production systems.

What the client gets

A working tool for three partner formats, documented calculation logic, reference tests confirmed by the finance team, a test on historical invoices with an exportable overview of variances, and advice on the next step.

AI Adoption

Innovation & AI bootcamp for a technology department

Sector
Energy
Service
AI Adoption: bootcamp
Format
1 + 3 days, 21 participants

Challenge

More and more is expected of the technology department: innovate faster, work more efficiently and find AI opportunities themselves. Theory is not enough for that. Teams need to learn to spot friction, frame it sharply and turn it into something tangible.

Approach

A preparation day built on design thinking, in which each team sharpens a real challenge. In between, teams talk to users and gather input. Then come three bootcamp days: AI opportunities and vibe coding, a build sprint and a jury pitch. 70% of the time goes to skills, 30% to the prototype. Each team works on a prepared laptop, so firewalls and installations don’t get in the way.

What the client gets

A working prototype per team, a use case story and a first value case. A jury of two internal members and one external member picks a top 3, with advice on validation and further development.

AI Adoption

GenAI training for AI champions at a European institution

Sector
Public sector
Service
AI Adoption: half day
Format
3 hours, about 30 people, in English

Challenge

A communications department wanted its AI champions to learn to use GenAI safely and efficiently, before ad-hoc experimenting becomes a habit. Participants had very different levels of AI experience.

Approach

A three-hour session. First an hour of clear explanation of AI, prompting, risks and simple automation. Then two hours of guided exercises in teams of three, designed beforehand with two colleagues who already used AI, based on fictitious or public data.

What the client gets

Ready-to-use prompt patterns for summarising and rewriting communications, clear guidelines on confidential data and reputational risk, and 3–4 worked exercises from their own work.

Use cases without a name are anonymised to respect our clients’ confidentiality.

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