The AI methodology for French SMEs and mid-caps
Échelle Junyr™ — 3 levels. 5-phase framework. 12 months.
↑ INDUSTEC case study: +182 % documented ROI in 9 months, 1.7 FTE freed.
By late 2025, 55 % of French small businesses use generative AI. Only 11 % extract measured value. The window is still open — but it is closing.
of French small businesses use generative AI (Bpifrance Le Lab, 2025).
extract real, measured value, visible in P&L (McKinsey).
median 12-month ROI for well-scoped AI missions in SMEs (50–500 employee panel).
of AI projects fail before deployment — it's a management issue, not a technology one (Gartner).
Méthode Junyr™ is the structured framework we operate as transition managers for French SMEs and mid-caps of 50 to 500 employees. It strings together diagnostic, scoping, foundations, pilot deployments and consolidation over 12 months for a total budget of €30k to €80k.
Échelle Junyr™ situates your company on a proprietary 3-level scale in under 10 minutes. None of the levels can be skipped. The golden rule: skipping the Orchestra stage costs 9 failures out of 10. The method traces a workable, measured, reproducible path.
European hosting, sovereign models (Mistral, OVHcloud, Scaleway), AI Act registry kept from phase 3. Sovereignty is no longer a marketing claim: it is an operational and legal risk topic.
Three levels, three metaphors, three questions. None can be skipped — skipping foundations leads to 90 % failure rates.
"Are my staff using AI each in their corner?"
Uncoordinated individual usage. No measurement, no piloting. Gains exist but remain private — they vanish with the employee. This is the profile of 60 % of French SMEs. It is not a failure: it is a start. The danger is multi-year stagnation.
60 % of SMEs"Is AI embedded in our processes, piloted and measured?"
2 to 5 priority use cases deployed as formal projects, each with a named user, pre-defined indicators and monthly reviews. This is where the documented 159 % median ROI sits. Transformation becomes a top-management topic.
15–20 % of SMEs"Has AI become a competitive advantage my competitors cannot replicate?"
AI is no longer a project: it is an attribute of the company. Proprietary knowledge base, supervised autonomous agents, documented governance, AI Act registry kept. The advantage becomes structural — 18 to 24 months for a competitor to replicate.
< 3 % of SMEsAn SME at the Artisan level investing €200k in autonomous agents fails in 9 cases out of 10 — not for lack of technology, but for lack of foundations. The POC graveyard is filled with ambitious projects that skipped the Orchestra stage.
Designed for SMEs and mid-caps of 50 to 500 employees, operated by an external transition manager. Total budget: €30k to €80k.
Mapping of critical processes, data audit, leadership and exec posture, identification of resistances and champions. 12-point analysis grid (0 to 5). Deliverable: 15-to-25-page report presented to the exec committee, concluding on 3 to 5 priority use cases by impact/effort ratio.
For each selected case, a 2-to-4-page document: scope, named users, mobilised data, candidate tools, costed budget, expected ROI, risks, transition plan, success indicators. One hour of scoping saves twenty hours of deployment.
AI usage charter validated by the exec committee, documented data policy, three-tier training plan, target architecture defined, priority data structured. This is the invisible investment that separates the 11 % who reap from the 89 % who sprinkle.
Sprints of 4 to 6 weeks, one use case per sprint. Named user, pre-defined indicators, mid-point review, production transition review, monthly aggregated exec review. Strict rule: no transition without indicators met. Unprofitable case = stopped.
Industrialisation of cases in production, user upskilling, continuous measurement. Lasting governance: AI Act registry up to date, quarterly AI committee piloted by exec, year-2 roadmap. At 12 months the company sits solidly at Junyr-2 (Orchestra), with the Junyr-3 trajectory mapped.
None is technological. All can be neutralised — full chapter-by-chapter detail in the white paper.
The gadget syndrome — choosing a tool before formulating the problem.
The perpetual POC trap — 70 % of pilots stay dead-letter for lack of pre-defined go-live criteria.
The lone leader illusion — carrying the topic alone without 2 to 4 operational internal champions.
The instant-ROI mirage — bolting an assistant onto a poorly defined process amplifies the noise.
Data blindness — audit data quality before the use case, never after.
Case study — 9 months, documented ROI
Anonymised industrial SME, 78 employees, €23.5M revenue. Mission April 2025 → January 2026.
At diagnostic, AI existed only as individual usage (ChatGPT for follow-ups, LinkedIn, Mistral tests). Junyr-1 (Artisan) level. Priority use case identified: technical quote drafting — 600 to 800 quotes/year, 2 to 4 hours per application engineer, totalling 1,800 to 2,400 hours annually.
275 hours saved per month on quote drafting.
1.7 FTE freed, redeployed onto post-sales follow-up and pre-sales site visits.
+18 % revenue on the commercial perimeter concerned; quote → order conversion went from 38 % to 44 %.
Documented 182 % ROI over 12 months. Total mission cost (€32k engagement + €8k licences + €4k internal) paid back by the 5th month.
Anonymised study. Results from a specific mission. ROI depends on sector context, initial maturity, team engagement and execution quality.
Regulation (EU) 2024/1689 phases in across 2026. For SMEs using AI systems: registry of AI systems, transparency vis-à-vis end users, traceability of AI decisions. Low cost if governance was put in place from phase 3; heavy otherwise.
Junyr™ brings together Méthode Junyr™ — the AI transformation framework for SMEs — Junyr Mail™ — sovereign webmail with RFC 3161 cryptographic timestamping — and Junyr Agents™ — the AI agent recruitment and management platform.
60 minutes by video call, no commitment. Outcome: your position on the Échelle Junyr™ scale, 3 priority use cases identified, a 90-day roadmap drawn. The calibrated first step that separates started projects from intentions.