White paper no. 1
AI Maturity of French SMEs 2025-2026
Assess five maturity levels, prepare data and governance, select infrastructure and measure ROI over a defined period, with a quotation evaluation protocol and a twelve-month roadmap.
Put AI to work in your business.
Measure what it changes.
From an initial use case to a process your teams can run.
A useful AI deployment brings together a defined business need, suitable tools and teams that know how to use and assess the result.
AI in the service of people.
AI project lead, AI transformation practitioner trained on the Junyr Method™. Fifteen years of transition management · 30+ documented engagements with French SMEs and mid-caps · sovereign infrastructure. From strategic diagnosis to operational deployments, for business leaders aiming at a structural competitive advantage, not scattergun adoption.
Free audit · 30 minutes by video conference · no obligation.
My approach, on video · 7 min
Subtitles available in English and French ·
Also online (in French): La Martingale #328 · “Investing in AI: how to spot the companies that will truly create value” ↗ (30 July 2026). 15+ years
of transition management
30+ engagements
documented with SMEs and mid-caps
159.8%
median documented ROI over 24 months, well-framed AI projects
5 levels
on the Junyr Method™ Scale, none can be skipped
Source: Baromètre IA & ROI PME France 2022-2025, Denis Atlan (CC BY 4.0)
Career
Thirty years of practice, six milestones
The job has never changed: taking the helm of an organisation at the moment it must change, and making that change succeed. Diagnose, frame, execute, measure, hand over.
- 1993
First lines of code
A school-management system, image processing for the French Ministry of Defence, a genetic algorithm in operations research: eight years of practice before the engineering degree.
- 2001
Engineer, École des Mines de Nantes
Graduated in Organisation and Management of Information Technologies. The school formalised what eight years of practice had built: moving from code to strategy without changing language.
- 2001-2003
Bureau Veritas, e-Business Consultant
Contribution under the aegis of the United Nations Economic Commission for Europe (Geneva) on regulating e-marketplaces through a trusted third party.
- 2005-2021
Fifteen years of transition management
Seven sectors, more than thirty engagements: recruitment (RhFed, 150+ hires), education and research (ITEMM, Sorbonne Foundation), real estate, events, specialised retail.
- 2023
The AI pivot
Designing and operating orchestrated AI agent systems, run on fully sovereign infrastructure. In parallel, a law degree at Université Paris-Sorbonne (2023-2026): the legal framework alongside code and strategy.
- 2026
The Junyr ecosystem
Launch of Junyr Suite (junyr.app): the tool first built for engagements, now made available. The Junyr.eu network of AI transformation practitioners. And a 100% solar-powered datacenter dedicated to AI.
The method
Five maturity levels, none can be skipped
N1 Spectateur
N2 Artisan
N3 Orchestre
N4 Architecte
N5 Pionnier
The Junyr Method™ was born of fifteen years of transition management and more than thirty documented engagements with SMEs. It places your company on five rungs and charts the pragmatic path to climb them one rung at a time. The key step, from Artisan to Orchestre, is within reach of any SME or mid-cap.
The golden rule: no level can be skipped. An Artisan-level SME that invests €200,000 to build an autonomous agent platform fails more than one time in two: not for lack of technology, but for lack of foundations.
White papers
Find your position, industrialise, then hold up
These three white papers help business leaders move from occasional AI use to an organisation that can measure results, support its teams and control the actions entrusted to agents.
- Maturity: assess current practices and choose the foundations to strengthen.
- Industrialisation: organise adoption, track costs and measure business results.
- Agentic processes: define permissions, checks and recovery procedures.
White paper no. 2
From PoC to Industrialisation
How do you industrialise? The 7 frictions of the “last mile”, the 5 levers of change management, AgentOps, ROI and a 12-month roadmap. FR + EN edition, revised September 2026.
White paper no. 3
Agentic processes and tomorrow's interfaces
How does it hold up? Skill versus agentic workflow, the reliability cost of nondeterminism, the four software engineering gestures, the control room and the three tiers of use. FR + EN edition, revised September 2026.
The blog
39 AI insights, organised by theme
AI strategy, autonomous agents, digital sovereignty, FinOps, cybersecurity. Published at the pace of the field, in French and in English.
Junyr Method™ 12 articles
- 29 July 2026 Decision-gated development: approve the plan before writing code
- 15 July 2026 Removing Git from the active workflow without losing rollback: our roadmap-driven approach
- 30 June 2026 CSE consultation and AI transformation: the right time and scope
- 23 June 2026 SaaS vendors: building an advantage beyond the AI feature
- 23 June 2026 AI and promotional products: defend the client relationship through data and advice
- 23 June 2026 AI agents and asynchronous work: delegating without confusing supervision with management
- 23 June 2026 Beyond vibe coding: four practices for verifiable software
- 14 June 2026 Junyr: a business foundation connected to your AI assistants through MCP
- 7 June 2026 Where is AI value created? Three signals for deciding without betting on one supplier
- 1 June 2026 Junyr Agents™: delegating business processes to AI with a clear mandate
- 29 May 2026 Cryptography 2026: transport, storage, identities and the post-quantum transition, the decision framework for business leaders and CISOs
- 23 May 2026 The Junyr Method™ Scale: assess an SME’s 5 AI maturity levels
Transition Management 9 articles
- 26 June 2026 Email and office suites: taking control of a fragmented workspace
- 31 May 2026 From unsolicited calls to messaging and video: organising customer contact in 2026
- 19 May 2026 Beyond prompt engineering: designing reliable context for AI
- 5 November 2025 From win-win to considered firmness: negotiating when trust declines
- 1 September 2025 Mediation and Conciliation: Resolving Conflict Without Overpromising
- 19 November 2024 AI in micro-businesses: what 1980s computing can really teach us
- 16 June 2024 Supporting the internal promotion of a sales manager in a communications agency
- 9 June 2024 Implementing artificial intelligence to grow a communications agency
- 2 June 2024 Recruiting early-career talent without generational stereotypes
AI Agents 6 articles
- 30 August 2026 Agentic processes in business: where code, skills and judgement belong
- 27 August 2026 Cowork and durable agents: regaining control of dependencies
- 27 August 2026 After chat: designing the AI work interface
- 18 August 2026 Deciding with your data: what agentic AI really changes
- 12 July 2026 LLM context: sizing the window, KV cache and prompt caching
- 4 July 2026 Engineering agentic systems: golden rules, architecture and security of the “Human-in-the-Loop”
Markets & AI 5 articles
- 17 August 2026 Choosing an AI model without betting on the next champion
- 2 August 2026 Saaspocalypse: abundant prototypes are changing the value of SaaS
- 23 July 2026 AI investment and sovereignty: the Microsoft-Mistral partnership
- 20 July 2026 CAC 40 and Nasdaq Top 10: what size does not tell you about AI maturity
- 20 July 2026 Where AI value accumulates: margins, cross-financing and competition
Personal Effectiveness 3 articles
Cybersecurity 1 article
Illustrative example 1 article
Methodology 1 article
Personal effectiveness 1 article
FAQ
Frequently asked questions
- What is an AI project lead?
- An operational leader who takes charge of an SME or mid-cap's AI transformation for a defined period: diagnosis, framing, execution, measurement, handover. As an AI transformation practitioner trained on the Junyr Method™, I work with companies of 50 to 500 staff, with a dual stance: a developer who leads, a leader who codes.
- What is the Junyr Method™?
- A proprietary AI-transformation methodology built on fifteen years of transition management and more than thirty documented engagements. It places the company on five maturity levels (Spectateur, Artisan, Orchestre, Architecte, Pionnier) and charts the path to climb them one rung at a time, skipping none.
- How much does an AI transformation cost in an SME?
- The key step, from Artisan to Orchestre, represents an investment of €30,000 to €80,000 over 12 months, support and licences included, excluding internal time. Well-framed projects document a median ROI of 159.8% over 24 months, with a 73% success rate. Source: AI & ROI Barometer for French SMEs 2022-2025, Denis Atlan (CC BY 4.0)
- What is the AI maturity audit?
- 30 minutes by video call, free of charge and with no obligation, led by a Junyr.eu network practitioner: where you stand on the Junyr Method™ Scale, what is blocking the next level, and the first initiative worth pursuing. A one-page takeaway is sent after the session.
- Do you need sovereign infrastructure to deploy AI?
- It is an option to weigh against your data and regulatory exposure, not a dogma: SecNumCloud-qualified trusted cloud, or on-premise deployment when the context demands it. The Junyr Method™ builds this trade-off into the framing stage.
Where to start
The AI maturity audit
30 minutes by video call, led by a Junyr.eu network practitioner. You leave with your position on the Junyr Method™ Scale, what is blocking the next level, and the first initiative worth pursuing. A one-page takeaway is sent after the session.
No obligation. The audit is free of charge.