Between training and implementation

Knowing what to automate, service by service.

Once your teams are trained, everyone sees AI ideas everywhere — and no one knows where to start. The business diagnostic settles it: we meet each department, map the tasks that genuinely eat time, and come out with a prioritised list of use cases, costed and ranked by implementation level. An action plan, not a statement of intent.

Interviews per department Usage mapping Impact / effort matrix Quick wins Roadmap
The missing link

Between "train" and "deploy", there is a decision to make.

Training creates momentum. Deploying needs a target. The diagnostic is the step that connects the two: it turns post-training enthusiasm into a roadmap the executive committee can arbitrate.

Step 1

Train

Teams build skills on their own files and discover what AI can do.

The momentum
Step 2 · here

Diagnose

We identify, department by department, where AI truly saves time — and we prioritise.

The target
Step 3

Implement

We deploy the prioritised cases at the right level: assistant, Copilot Studio agent or custom automation.

The result
The method

Four steps, from field listening to roadmap.

Counted in weeks, not months. The diagnostic stays light: it is there to decide fast, not to produce a report no one reads.

Scoping · half a day

Set the perimeter

Which departments, which goals, which tool and governance constraints. We choose together which teams to meet.

Leadership
and project sponsor
Interviews · 1 to 2 weeks

Listen to each department

Short interviews with representative employees from each function: the real day-to-day, the time-consuming tasks, the friction points.

2 to 3 people
per department
Analysis · 1 week

Map and prioritise

Each use case is estimated by time saved and implementation effort, then ranked. The quick wins surface on their own.

Analysis work
off-site
Readout · half a day

Present to the ExCo

Presentation of the mapping, the prioritisation matrix and the roadmap. Each case carries a level recommendation.

ExCo
and department heads
What you get

A usable dossier, ready for the ExCo.

Not a theoretical audit: a concrete basis for decisions, on which each next step can be committed separately.

01 · Overview

The usage mapping

Every use case identified, sorted by department and task type.

02 · Prioritisation

The impact / effort matrix

Each case positioned by expected gain and implementation difficulty.

03 · Quick wins

The quick wins identified

What can start right away, with no new tool or budget, to build buy-in.

04 · Trajectory

The roadmap

A deployment sequence over the coming months, milestoned and arbitrable.

05 · Sizing

The gain estimate

The time recoverable per case, to decide on orders of magnitude, not impressions.

06 · Level

The per-case level recommendation

For each case retained: assistant, Copilot Studio agent or custom automation.

The principle
You only deploy well what you have understood. The diagnostic is there to choose, before you spend.
What it triggers next

From diagnostic to deployment, at the right level.

Each prioritised case points to one of the three implementation levels. No forced commitment: you decide case by case, at your own pace.

Level 1 Off-the-shelf assistants A recurring task, built in a single session on your existing licences. Level 2 Copilot Studio agents Connected to your Microsoft data, built in a workshop with your teams. Level 3 Advanced automation Custom-built and deployed inside your infrastructure.
Get in touch

Teams trained? Let's see where AI wins you the most.

The direct route

Book 30 minutes

A scoping call: the departments involved, how mature the teams are, the scope of the diagnostic.

Book 30 minFree · No commitment
Counted in weeksExCo readoutNo obligation to continue
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