An SME, a mid-cap, a large group and a public body do not share the same stakes — nor the same support
We reject the one-size-fits-all pitch. Depending on your size, governance and constraints, the way to adopt AI changes entirely. Here is how Cardan-AI tailors its method to each type of organisation.
Recommended starting point
Express AI diagnostic + first pilot
Half a day to map your opportunities, a 6 to 8-week pilot on the most profitable case, a measured gain before any broader commitment.
Start my express diagnosticFast impact, with no IT department and no experimentation budget
In an SME, the owner decides fast and sees the result directly in the P&L. There is no data team and no room to fund showcase projects: every euro invested in AI must translate into time saved or revenue gained. The constraint is not ambition — it is bandwidth: the teams' time and the absence of in-house technical expertise.
What matters to you
- A first profitable use case in weeks, not an 18-month programme
- Turnkey tools teams adopt without heavy training
- No lock-in: keep control of your data and your costs
How we support you
We start with an express diagnostic (half a day) that pinpoints 2 to 3 high-ROI use cases in your daily operations. We deploy the most promising one as a short pilot, measure the gain, then build on it. You stay the owner of the solution and remain autonomous.
Recommended starting point
Maturity audit + AI roadmap
A review of your data, skills and use cases, then a sequenced, budgeted roadmap ready to present to your executive committee.
Frame my roadmapMoving from isolated initiatives to a structured AI trajectory
A mid-cap has often already experimented with AI — a POC here, a tool there — but without an overall vision. The challenge is no longer to prove it works; it is to structure, secure and industrialise without weighing the organisation down. Data sovereignty, compliance and upskilling become central, with more limited means than a large group's.
What matters to you
- An ROI-prioritised AI roadmap aligned with strategy
- Industrialising successful pilots and stopping those not worth it
- Securing data and anticipating the AI Act without creating bureaucracy
How we support you
We frame a 12-24 month trajectory: maturity audit, selection of high-value use cases, lightweight governance and an upskilling plan. We work hand in hand with your internal teams to transfer know-how rather than create dependency.
Recommended starting point
AI governance & security framework
A review of your AI portfolio, a governance and compliance framework (AI Act, NIS2), and a plan to secure your critical AI systems.
Structure our AI governanceGovernance, compliance and controlled scaling
A large group lacks neither means nor ideas: it lacks coherence and speed. Use cases multiply across business units, but governance, security, regulatory compliance and interoperability become the real bottlenecks. The stakes are industrialising at scale, avoiding technical debt and meeting demanding CISO, legal and ESG requirements.
What matters to you
- An AI governance framework and demonstrable AI Act compliance
- Scaling without multiplying solutions or technical debt
- Securing the AI systems themselves (injection, data leakage, robustness)
How we support you
We support your AI/data teams and your CISO: governance framework, AI systems security, architecture review, compliance support and executive-committee upskilling. A demanding, independent expert role, complementary to your integrators.
Recommended starting point
AI opportunities workshop for public service
A workshop with your departments to identify high-citizen-impact use cases, framed by data sovereignty and ethics, with an estimate of staff-time gains.
Set up an opportunities workshopDoing more with the same resources, in service of citizens
The public sector pursues a goal other than profitability: the quality of service delivered to citizens, under heavy budget constraints and with a requirement for transparency and ethics. AI has considerable potential here — case processing, citizen relations, infrastructure maintenance — but demands particular vigilance on data sovereignty, explainability and equal treatment.
What matters to you
- Freeing staff from repetitive tasks to refocus on people
- Sovereign, explainable solutions that respect public data
- A public-procurement framework and change management suited to public service
How we support you
We design use cases with immediate citizen value — case handling, 24/7 citizen service, predictive infrastructure maintenance — with a sovereign architecture and ethical governance. We also support staff training and dialogue with elected officials.
Let's talk about your next competitive edge
A 30-minute conversation to identify your most profitable AI use cases.