Operational adoption of AI
Facilitation of an AI-awareness workshop during a company seminar: hands-on training in internal tools and practical work on concrete business cases, to encourage immediate, operational buy-in.
Advisory & audit
AI & data diagnostic
Assess your AI maturity, identify your priorities and build an actionable roadmap.
Before deploying artificial intelligence, it is essential to understand where your organisation truly stands. Our AI & data diagnostic lets you assess your level of maturity, identify existing uses, spot risks and prioritise the opportunities that create the most value.
We analyse your processes, tools, data, business practices and governance to highlight strengths, pain points and areas for improvement. This approach clarifies the possible uses of AI, identifies high-impact use cases and defines the conditions needed to implement them.
The diagnostic is not limited to a snapshot. It leads to concrete recommendations, a prioritisation of actions and a pragmatic roadmap. The goal is to help you move from scattered or exploratory uses to a structured, secure and operational trajectory.
It is the ideal starting point for engaging in a controlled AI transformation, aligned with your business challenges.
A good diagnostic turns a technology ambition into a clear, prioritised and secure trajectory.
Our approach
Understand where your organisation truly stands, before committing to anything.
- 01
Analysing the current situation
We look at your tools, processes, data and current practices to build a clear picture of your starting point.
- 02
Assessing AI & data maturity
We measure your level of readiness across the organisational, technological, business, data, governance, security and adoption dimensions.
- 03
Identifying risks
We flag points of vigilance related to confidentiality, GDPR, cybersecurity, data quality or unregulated usage.
- 04
Prioritising opportunities
We identify the most relevant AI and data use cases based on business impact, feasibility and rollout potential.
- 05
Building the roadmap
We formalise recommendations, quick wins, prerequisites and next steps to drive a phased transformation.
AI diagnostics to frame usage, secure practices and prioritise the first use cases.
Client references
Demystifying artificial intelligence
Facilitation of a conference and workshops confronting preconceptions with the actual figures. Objectives: understand how AI works and provide the practical and strategic keys to adopting it effectively while avoiding common pitfalls.
AI transformation programme
Roll-out of a complete programme: employee AI awareness, structured upskilling and accelerated adoption of new uses through the introduction of AI passports.
AI diagnostic and schedule optimisation
Audit of the existing set-up and operational recommendations to improve the scheduling of interventions, field performance and decision-makers’ decision-making, illustrated through a technology POC.
- Skill Claude
AI awareness and transformation
Facilitation of an AI-awareness seminar aimed at understanding its opportunities, assessing the organisation’s maturity, identifying concrete use cases and engaging teams in a pragmatic transformation process.
Frequently asked questions
Why carry out an AI & data diagnostic?
The diagnostic means you avoid jumping straight into tools or solutions without a clear view. It helps you understand your real needs, identify priority uses, measure your maturity and build a trajectory suited to your business, technical and organisational challenges.
What does the diagnostic cover?
It includes an analysis of processes, tools, existing AI uses, available data and governance practices, security or confidentiality risks, plus an identification of high-value use cases.
Who is this offer for?
It is for companies that want to embed AI in a structured, secure and useful way. It suits organisations already using AI in a scattered fashion just as much as those looking to start a first, well-framed approach.
What deliverables are provided?
The diagnostic can produce a map of current uses, a maturity analysis, a prioritised list of use cases, governance recommendations, an identification of quick wins and an operational roadmap.
What is the difference from operational support?
The diagnostic helps you understand, frame and prioritise. Operational support then steps in to turn recommendations into reality: prototyping, POC, automation, AI agents, governance, training or phased rollout.
Ready to accelerate your transformation with AI?
One hour with an expert. You’ll leave with a read on your maturity and application principles.
Contact us