We figure out where AI creates real value in your business — and where it doesn't. A concrete adoption framework, with priorities and budget, presented so that the whole board nods out of conviction, not courtesy.
We map processes, data and skills to find the points where AI has a real return — and we flag, honestly, where it isn't worth it.
A sequence of initiatives ordered by impact and feasibility, with cost estimates, timelines and a quantitative business case. You know what to do first.
For each initiative: build, buy or wait. With explicit criteria, so the choice holds even when the person who signs it changes.
From initial exploration to governance. Every engagement closes with a decision document — not a slide deck.
We map your processes and estimate their AI potential. You leave with a shortlist of opportunities ordered by impact and feasibility.
For whomThose who know AI matters but don't know where to start.
How ready are you, really? We assess data quality, integrations and process maturity before you invest in a project.
For whomThose who want to avoid AI projects that fail on data.
A 12-month roadmap with prioritized initiatives, cost estimates, KPIs and a quantitative business case. Ready for the board.
For whomThose who need to move from vision to a fundable plan.
For a specific choice — platform, vendor, internal project — we analyze options, risks and total costs. A reasoned recommendation.
For whomThose with an AI decision on the table who want a second opinion.
We define usage policies, roles and responsibilities, and a use-case approval process. The governance the AI Act assumes, tailored to your reality.
For whomThose who need to set clear rules for AI use in the company.
Half a day with leadership: scenarios, risks, opportunities and AI Act implications, in the language of decisions. Aligns the board before you start.
For whomBoards and management who need to decide with insight.
We don't sell strategy as slides: we sell defensible decisions. Every engagement starts with listening and ends with a reasoned choice.
Interviews with leadership and teams, a read of the processes, data gathering. We understand the business before talking technology.
We assess opportunities, data readiness and risks. Every use case gets an impact and feasibility score.
We sequence initiatives by return and dependencies, with costs, timelines and KPIs. A fundable 12-month roadmap.
For each initiative: build, buy or wait, with explicit criteria. We present to the board and stay by your side in the decision.
The essential answers on what the consulting does, what it produces and when you need it. If you can't find yours, write to us.
We help you understand where AI creates value in your business and turn it into a plan: opportunities mapped, prioritized, with costs and KPIs. We don't write code at this stage: we make informed decisions before spending.
The output isn't a slide deck but a decision document: roadmap, business case and build/buy/wait recommendations.
From 1 week (a board briefing or targeted advisory) to 4 weeks (full Assessment + Roadmap). Most clients reach an approvable roadmap in 30 days.
A prioritized use-case map, a 12-month roadmap with costs and KPIs, a quantitative business case and — where needed — the build/buy/wait memo. All presented to leadership, not left in a folder.
Yes, and it's part of the value. Many AI initiatives don't repay the investment: flagging them saves you time and budget. Our recommendation always includes what to leave out.
Yes. When the decision is "build", the development team delivers the project; when a training need emerges, the training program covers it. The consulting stays independent in advising the best option, even when it isn't ours.
No. In fact, it's the right time to start: better to decide the direction before investing in data and tools. If the data isn't ready, we tell you — and we put readiness at the top of the roadmap.
With a 30-minute call to understand the context. Often the first step is an Opportunity Assessment or a board briefing, depending on how aligned leadership already is.
30 minutes to frame context and goals. You leave with a direction and the first concrete step — not an automated quote.