Projects
Data, automation and AI projects.
We turn scattered tools, data and processes into one reliable system your team can maintain and adopt.
For companies already using tools, data or AI that need order, clear criteria and execution so it all works in real operations.
How we work
By phases, with clear criteria.
Understand
The business and where the friction is, before building.
Prioritise
Not everything is worth automating; we pick what moves the needle.
Prototype
We validate fast with small pieces and real data.
Implement
From prototype to system: documented and connected to daily work.
Hand over
We document and train so the team runs it without us.
We aim for autonomy, not dependency.
The signals
When a project makes sense.
Data lives scattered across tools and spreadsheets. Reporting doesn't give a clear picture to decide. Repetitive manual work eats time every week. AI tools are used without a common framework. Pilots or automations never quite scale. The team needs to own the system, not depend on a vendor.
What's included
The building blocks of a project.
Not standalone services: modules of one system. We pick and combine them to fit what you need.
Assessment
Understand the situation before touching anything.
- Current processes, data and tools
- Priorities by impact and effort
- Risks and points of friction
Automation
Less manual work, with control.
- Remove repetitive tasks
- Connect the tools you already use
- Flows with validation and traceability
- No automating for its own sake
Applied AI
AI on real tasks, with clear criteria.
- Internal assistants over your documentation
- Support for concrete day-to-day tasks
- Safe use, with clear limits
- Adoption criteria
Reporting and decision systems
Reliable data where decisions happen.
- Clear dashboards
- Metrics agreed with the team
- Actionable reporting, not decorative
- Better-supported decisions
Working systems
So the system stays with the team.
- Documentation and handover
- Adoption support
- Sustainable maintenance
- Basic system governance
When a project touches AI systems under the AI Act, we set up the controls, traceability and evidence the regulation calls for.
Outcome
What you should be left with.
No inflated metrics: whatever remains, we validate it with you.
- A clear map of priorities.
- Processes in better order.
- Documented automations.
- Reporting that's more useful to decide.
- Clear criteria for using AI.
- A more autonomous team.
- The next step, identified.
Also
Training and talks.
The training that accompanies a project is handover and adoption, included here. As standalone services:
Common questions
Frequently asked questions.
Do we always start with an assessment?
Almost always. It's how we understand the starting point and prioritise before building. If you already have a clear assessment, we review it and move on.
Do we need an internal technical team?
No. We work with the team you have and leave the system documented so it can be maintained without a dedicated technical profile.
Is this only about AI?
No. AI is one piece. Many projects start by ordering data, processes and reporting; AI comes in where it adds value.
Can you work with our current tools?
Yes. We start from what you already use and build on top; we change tools only when there's a clear reason.
What's the difference between a project and training?
A project implements a system, with its handover. Standalone training upskills the team without a project behind it.
If your data, processes or tools are scattered, let's start by understanding the current situation.
A 30-minute call, no commitment, no sales pitch.
Start with an assessment