AI & Generative AI

Use-case discovery & value cases

Structured workshops that surface high-impact opportunities and quantify feasibility, cost and expected return.

Vue d’ensemble

Good AI use cases rarely come from a technology list. They come from understanding where work is slow, expensive, error-prone or dependent on scarce expertise. We run structured discovery with business and operations teams to map those pain points, then test each idea against what AI can realistically do today.

Every shortlisted opportunity gets a value case: the baseline we are improving, the expected benefit, the data and integration it depends on, the cost to build and run, and the risks to manage. We are deliberately candid about feasibility, including when a simpler analytics or automation approach would do the job better.

The result is a ranked set of use cases your leadership can fund with confidence. Each one has a named business owner, agreed success measures and a clear next step, whether that is a proof of value, a data fix or a decision not to proceed.

Ce que vous obtenez

01Facilitated discovery workshops with business and technical stakeholders
02Long list of opportunities mapped to processes and pain points
03Feasibility and data-readiness assessment for shortlisted use cases
04Value cases with baseline, benefits, costs and key risks
05Ranked shortlist with owners, success measures and next steps

Technologies que nous maîtrisons

Miro
Celonis
Microsoft Power BI
Python
Jupyter
OpenAI, Anthropic and Google model APIs

Nous sommes indépendants des éditeurs : les outils sont choisis en fonction de vos besoins et de vos investissements existants.

Les questions que l’on nous pose souvent

How many use cases should we expect to come out of discovery?

A long list of ideas typically narrows to a shortlist of three to eight opportunities with full value cases. The goal is a small number of well-understood options rather than an exhaustive catalog.

Do you need access to our data during discovery?

Light access helps. We usually review data samples, system documentation and process metrics to judge feasibility, under your access controls, but we do not need to move or copy production data at this stage.