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
Consulting and support
Move from idea to action with useful, measurable AI solutions.
Artificial intelligence only creates value when it is embedded in a company’s real-world practices. Our consulting and operational support offer helps you turn your AI, data and digitalisation ambitions into concrete action, tailored to your business.
We work alongside your teams to understand your processes, identify operational bottlenecks, prioritise high-value use cases and support their implementation. Our approach favours quick results: task automation, internal AI agents, document structuring, productivity gains, more secure practices and optimised business processes.
Beyond recommendations, we support the design, prototyping and phased rollout of solutions suited to your environment. Each engagement aims to quickly demonstrate the value of a first use case, then build a realistic path towards wider rollout.
Our goal: to help you gain efficiency, reliability and performance, while making it easier for your teams to adopt new tools.
The value of AI is measured by its ability to simplify everyday work for teams.
Our approach
The diagnostic frames and prioritises. The support turns it into reality: prototyping, POC, governance, adoption.
- 01
Understanding your business challenges
We analyse your processes, tools, current practices and on-the-ground constraints to identify the improvement levers most relevant to your organisation.
- 02
Prioritising use cases
We select AI and data opportunities based on business value, technical feasibility, operational impact and their potential for quick wins.
- 03
Designing POCs built for scale
We support the design of POCs and pilots on targeted use cases: AI agents, automation, document search, business assistants or process optimisation. Prototypes geared towards value and scale-up, to avoid experiments that go nowhere.
- 04
Securing usage
We factor in governance, confidentiality, GDPR, cybersecurity and data quality to ensure a controlled rollout.
- 05
Supporting adoption
We support teams as they get to grips with the tools, share best practices and embed new ways of working for the long term.
From business POC to governance: AI solutions built into our support.
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
How does an operational support engagement work?
An engagement starts with a quick understanding of your objectives, processes and existing practices. We then identify the bottlenecks, opportunities and priority use cases. The support continues with the design of a first pilot or POC, followed by a clear presentation of results, recommendations and next steps.
Why start with a POC?
A POC lets you quickly test a use case within a controlled scope. It helps verify the solution’s real value, measure early gains, bring teams on board and validate choices before a wider rollout.
What results can be expected?
Results depend on context, but the benefits typically sought are: fewer repetitive tasks, time savings, better data quality, easier access to information, more reliable processes and improved productivity.
What types of projects can you support?
We support projects related to generative AI, internal AI agents, process automation, document structuring, the use of SharePoint, RAG-based augmented search, AI governance and improved operational performance.
How do you ensure adoption by teams?
We involve users from the earliest stages: interviews, workshops, prioritisation, testing and feedback. This approach helps design solutions suited to real-world practices and encourages gradual buy-in.
Should you start with a diagnostic?
It isn’t compulsory, but it’s often the shortest path. The AI & data diagnostic measures maturity, flags risks and prioritises use cases; the support engagement then starts from an already-framed roadmap. When the use case is known and the need already settled, we start directly with design.
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