Non agence SEO / visibilité
AI transformation diagnostic, 12-month roadmap, parallel pilots, consolidated ROI, data security, change management — your strategic decisions are informed while your teams become more productive without disrupting the organization. Reclaimed strategic time, defensible arbitration, transformation without breakage.
2026 is when AI lag starts costing real money: competitors who adopt gain 15-30% productivity per function, your investors and board ask at every meeting, your best talent leaves for companies giving them the right tools.
The opposite is also true: jumping into any « magic » AI SaaS without a roadmap ends in an unmanageable stack, data flowing everywhere, teams exhausted by 12 parallel tools. The risk isn’t doing too much AI — it’s doing it badly.
An SMB CEO (50-250 people) who properly drives AI transformation can free 5,000 to 15,000 productive hours/year without touching payroll, and redeploy that time on growth, R&D, or service quality. Over 12 months, that’s the equivalent of 3 to 8 FTEs « returned » to the organization without social damage.
Should we start with sales, support, admin, R&D? What ROI on which service? What risk on which processes? Without a structured diagnostic, you launch 3 parallel pilots that don’t talk to each other and contradict each other.
« AI saves time » — how much, where, for whom, and to do what better? Without a consolidated ROI dashboard, the board can’t arbitrate next investments and teams don’t know if they’re going in the right direction.
30-50% of teams fear AI will replace them, 20% are enthusiastic but over-use (sometimes badly), 30-50% wait to be told what to do. Without a change management + training plan, adoption caps at 25% of potential.
Customer data sent to public ChatGPT, prompts leaking industrial secrets, models trained without consent: a single incident can cost a GDPR fine, an HR lawsuit, or worse — loss of customer trust.
Should you develop in-house (expensive, slow), buy SaaS (dependency, data leaks), or use a vendor (variable quality, lock-in)? The right answer depends on each case and no one in the company has the full picture.
Six workflows already deployed in SMBs and mid-caps. Calibration on your organization and systematic validation at COMEX level.
Structured diagnostic on 5-8 key functions (sales, marketing, support, admin, HR, R&D, production, finance). For each: automation potential, estimated ROI, risk level, data prerequisites. Output: prioritized impact × effort matrix.
3 key phases: quick wins (3 months) → consolidation (6 months) → scale (12 months). Pilot sequence, dependencies, consolidated budget, KPIs per phase. Document defensible to the board and your teams.
3 pilots chosen from the matrix (1 sales + 1 support + 1 admin for example), started in parallel, ROI measurement at 90 days, go/no-go decision for scale. « Proof through use » effect that unlocks the organization.
Single view: hours saved per function, monetary value, internal NPS (adoption), security incidents, next decisions to take. Updated automatically. Board presentation in 1 slide instead of 20.
Internal communication kit (announcements, FAQ, videos), training paths per profile (user, power user, validator), COMEX acculturation workshop. Adoption ×2 vs « tool-only » deployment.
Mapping of AI data flows, data classification (public, internal, sensitive), GDPR + EU AI Act compliance review, DPA contracts with LLM vendors. Quarterly audit + drift alerts.
Stéphane Jambu has supported 650+ clients (SMBs, mid-caps, startups) in their digital and AI transformation. He understands both team reality and board expectations. Your arbitration is informed by someone who has already driven several transformations at your scale.
Python + n8n + LLM APIs (Claude, DeepSeek, OpenAI). EU hosting (Hetzner) or on-premise based on your data sensitivity level. No no-code SaaS vanishing at the next pricing change or big-tech acquisition.
No automated decision without human approval on sensitive flows. Traceability of each AI action (who, when, what). Quarterly audit included in deployment.
No SaaS-dependency. We install a sovereign AI stack your company owns: your code, your prompts, your n8n workflows, your API keys, your data. No lock-in: if you want to bring it in-house or change vendor in 18 months, everything already belongs to you.
Structured diagnostic of 5-8 key functions (manager interviews + process analysis). Impact × effort matrix, identification of the 3 priority quick wins.
Roadmap construction (3 phases), COMEX validation, launch of the first pilot on the highest-ROI function (often: customer support or sales).
Setup of the two other prioritized pilots (e.g., marketing + admin). Configuration of consolidated ROI dashboards. Internal communication (announcements, FAQ).
Final validation, COMEX presentation (1-slide ROI), pilot team training, 6-12 month deployment plan, security + GDPR audit calendar.
Estimate of annual productive time freed by a well-orchestrated AI transformation + monetary value.
Hypothesis: 25% of knowledge worker time is on automatable tasks (writing, research, classification, reporting, level 1 support), real adoption at 60% after 12 months of well-done change management.
Free initial diagnostic. AI CEO pilot (audit + roadmap + 3 launched pilots) from €2,900 if potential confirmed.
Live audit of your AI maturity and productivity gain estimate.
Function-by-function AI audit + 12-month roadmap + 3 parallel pilots launched, with consolidated ROI dashboard.
Workflow scale, advanced integration, full change management, quarterly GDPR audit.
The diagnostic is free, remote, no commitment. We look at your organization (functions, size, current AI maturity, data constraints), and estimate the overall potential.
Book my free diagnostic