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Strategy & training

The plan first, then the team that uses it

We turn uncertainty about artificial intelligence into a clear, prioritised, executable plan with the numbers in front of you. And we train your people so AI ends up being used by the whole team, not only the technical department. No hot air.

Free initial audit · from €450 per session

Context

Why AI projects fail

Most companies that fail with AI do not fail for lack of technology, but for two very specific reasons. The first is that they roll out tools with no context, automate processes that should not be automated, and end up losing time and money. The second is that, when the plan does exist, nobody in-house knows how to execute it: licences get bought and never opened. So we work both ends. We start by understanding your real operation, to decide with judgement where AI adds value and where it does not, and we finish sitting down with your team, working through examples from their own day, until the tool is part of their routine.

Prioritised by return: we start with the highest impact and the lowest risk
Strategy fitted to your sector, your size and your actual resources
Workshops using real cases from your company, not textbook examples
Privacy and GDPR best practice from the first minute
78% of AI projects fail for lack of upfront planning Gartner, 2024
more likely to succeed with a formalised strategy McKinsey, 2024
60% of AI budget is wasted on badly prioritised initiatives IDC, 2024
Benefits

What you get

Strategic clarity

You stop deciding by headlines and hype. You know what to do with AI in your company, in what order and why, with an honest diagnosis of where you are starting from.

Initiatives ranked by return

Every proposal carries numbers: expected time saved, cost reduced or revenue gained, so you can justify the investment before making it.

An executable roadmap

A 6-18 month plan with recommended technologies, cost estimates and tracking metrics. Ready for your team to execute, or for us to.

Workshops applied to your day

Drafting emails, summarising documents, preparing quotes, automating the repetitive. Your team leaves knowing which tool fits each task and how to ask it properly.

Security and GDPR built in

What can and cannot go into an AI tool. A clear rule of thumb on customer data and confidentiality that prevents the accident before it happens.

Adoption that sticks

Materials, guides and a follow-up period afterwards so what was learned does not stay in a notebook and the habit actually takes hold.

Deliverables

What you receive

Concrete deliverables fitted to your reality. No generic reports.

Digital and AI maturity diagnosis report
Map of automatable processes with estimated impact
6-18 month AI adoption strategy
Implementation roadmap prioritised by return
Technical sheets for the recommended solutions and an estimate per initiative
Alignment workshop with the leadership team
Hands-on workshops tailored to your sector and your team’s real tasks
Prompt guide, templates and workflows for the most common tasks
Security and GDPR checklist for using AI
Recordings of the online sessions and supporting materials
Monthly follow-up for 3 months
How we work

How we work

From where you are today to an action plan and a team that knows how to use it, in 4-6 weeks.

01

Initial diagnosis

1-2 weeks

We analyse your current situation: processes, tools, team and business goals. We identify AI opportunities and the priority friction points.

02

Feasibility analysis

1 week

We assess the organisation’s digital maturity, the data available and the technical and economic feasibility of each identified solution. We discard what does not fit.

03

Strategy and roadmap

1-2 weeks

We design the adoption strategy for your sector, size and resources, and turn it into a plan with phases, milestones, cost estimates and tracking metrics.

04

Tailored workshop

1 day per session

We design and deliver the training around your team’s real cases, on site or online. Prompts that work, everyday tools and the limits of privacy.

05

Follow-through

3 months

Monthly follow-up to answer questions, measure progress against the agreed metrics and adjust the plan according to what actually happens.

Who is it for?

Who is it for?

Companies with no AI strategy

You know you have to do something with AI, proposals arrive from every direction, and you have no criteria of your own to separate what works from what does not.

Those who tried and saw no results

Licences were bought, a pilot was run and it came to nothing. Usually the problem was not the tool, but that the wrong process was picked and nobody was trained.

Teams that need to catch up

Half your people have tried ChatGPT once, few use it well and almost nobody uses it daily. The workshop turns curiosity into a working tool.

Leadership under pressure to digitalise

You need a defensible document for your board, your partners or your investors, with every recommendation justified by data rather than fashion.

SMEs, freelancers and professional practices

No technical team in-house and no budget for expensive experiments. Here the priority is getting it right first time, on whatever has the most impact.

Use cases

Where it fits

Invoicing automationAI customer serviceLead qualificationReport generationDocument classificationBusiness data analysisEmployee onboardingInventory managementSales follow-upAnswering repetitive emailsSales teams preparing proposals fasterBack office automating repetitive tasksMarketing generating and reviewing content with judgementPractices and firms summarising and drafting documentsTechnical teams coding with AI assistanceLeadership preparing reports and analysis with AI support
FAQ

Frequently asked questions

How is this different from the free audit?

The free audit is a first conversation to see whether there is anything here and to spot the obvious. This is weeks of work: we analyse processes, data and feasibility, discard what does not fit and deliver a plan with numbers you can defend. The audit tells you whether it is worth looking; this tells you exactly what to do.

Does the team need prior AI knowledge?

No. Workshops are designed around where your people actually stand, and normally that is all over the map: someone who already uses it daily and someone who has never opened it. We start from what each profile needs for their job, not from a theoretical introduction that is the same for everyone.

Are the workshops on site or online?

Whichever you prefer. On site works better when the team shares an office and the ice needs breaking with the tool; online fits distributed teams better, and those sessions are recorded for whoever cannot attend.

Do I need my data tidy before we start?

No. Part of the diagnosis is precisely to see what state your data and processes are in. If something is unusable we say so plainly and factor it into the roadmap, rather than pretending the starting point is better than it is.

Does it include implementing the solutions?

No: this is the strategy and the training. Implementation is contracted separately, and it can be done by your team with the plan in hand or by us. We keep them apart on purpose so the plan stays honest and does not become a shopping list of our own services.

Does it work for freelancers and small companies, or only large ones?

It works, and in fact it shows most there. A large company can afford to get a pilot wrong; a freelancer or an SME cannot. The scope adjusts to the size: a hundred-page report makes no sense for a four-person practice.

What happens after the workshop?

There is a follow-up period to answer questions when they genuinely come up, which is while applying it rather than in class. We also leave materials, a prompt guide and templates for the team to consult on their own.