From the first conversation to a system that runs in production.

The four phases

1. 01

   Strategy & readiness

   We get to know your business model, processes and data. The result is a clear picture of where AI creates value and what is missing.

   • Analysis of processes, data and system landscape
   • Assessment of team, skills and constraints
   • Prioritised areas for action, in order

   Outcome

   An AI roadmap that fits your company.

2. 02

   Use-case discovery

   Together with your business units we find the use cases that are actually worth it, and rate them soberly.

   • Workshops with business units and IT
   • Rating by value, feasibility and risk
   • A business case per use case

   Outcome

   A prioritised list of use cases with business cases you can defend.

3. 03

   Implementation

   We build the solution into your existing systems, from prototype to production.

   • LLM applications, RAG and knowledge search
   • Process and document automation
   • Running on-premise, in an EU cloud, or hybrid

   Outcome

   A system that runs in daily operations and can be measured.

4. 04

   Enablement & governance

   So the solution holds after the project, we enable your team and set clear rules.

   • Training for users and owners
   • Operating model, roles and responsibilities
   • EU AI Act readiness and GDPR

   Outcome

   A team that uses AI safely and keeps developing it.

How we start

1. 01

   First conversation

   You tell us where you stand. We listen and say honestly whether and how we can help.

2. 02

   Assessment

   We propose the most sensible starting point, with scope, timeline and team.

3. 03

   Kick-off

   We begin in the phase that matches where you are.