Most organisations don't need all four. They need the one that unblocks their situation — and to know which one that is.
An AI engagement is easy to sell and hard to deliver. The difference rarely comes down to technology: it comes down to what was understood about the real work before starting.
So here, for each service, is what it solves, what you get at the end, and who it is for. If your situation fits none of these boxes, tell us: that is useful information, not a problem.
AI Consulting
Identify the tasks, processes, and functions where AI can create the most value.
The problem it solves
Everyone in the organisation is talking about AI and nobody knows where to start. Initiatives head off in four directions, none lands, and management ends up concluding that "it doesn't work here".
What you get
A map of your processes, with the time each one actually consumes
The list of tasks where AI changes something — and those where it adds nothing
A roadmap costed in effort, ordered by expected gain
The risks identified: sensitive data, dependencies, points of failure
Who it is for
Executive management, operations directors, programme coordination. Any organisation that has to weigh a budget before spending it.
AI Training
Train teams in professional, secure, and productive use of artificial intelligence.
The problem it solves
The tools are there, the accounts are open, and teams use them like a search engine. The gap between what AI can do and what it is asked to do stays exactly where it was.
What you get
Sessions built on your own files, not on generic examples
Written working methods, reusable after the trainer leaves
A separate level for executives and for operational teams
A remote check-in after the training
Who it is for
Administrative, finance, HR, communications and coordination teams. Executives who must decide without being technicians.
AI Implementation
Build and integrate AI systems tailored to the organization's real needs.
The problem it solves
A public assistant knows neither your procedures, nor your contracts, nor your history. Every answer has to be reworked by hand, and the time saved is lost again in checking.
What you get
An assistant connected to your documents and data, with its sources cited
A documented architecture: which data goes where, and why
Recovery after a dropped connection, designed in from the start
Handover to your team, or maintenance if you prefer
Who it is for
Organisations with real document volume: NGOs, professional firms, institutions, companies with written procedures.
Automation & AI Agents
Automate repetitive tasks and build agents capable of executing workflows.
The problem it solves
Tasks nobody claims eat entire days: re-entry, sorting, chasing, formatting, consolidating reports. They appear in no job description and cost the most.
What you get
Agents that carry out a complete process, under human supervision
The checkpoints where a human approves before anything goes out
A log of what was done, auditable after the fact
Staged deployment, starting with the most expensive process
Who it is for
Organisations that have already connected their data and want to move from assistance to execution.
How an engagement runs
Four stages, in this order, whichever service you pick. The first is never billed blind: until we have understood your situation, we don't know what we are selling.
01Understand
We analyze your goals, processes, and challenges.
02Identify
We identify the tasks and processes with the highest potential for AI use.
03Build
We design and implement the right solution.
04Train
We support teams so the technology is genuinely adopted.
Not sure which one applies to you?
That is the most common case, and it is exactly what the first conversation settles. An hour is enough.
