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White paper no. 2 · Revised 6 September 2026

From PoC to Industrialisation: Leading AI Change Management in European SMEs

This white paper turns “how do we industrialise?” into concrete decisions about process, accountability, measurement and agent control.

  • Seven last-mile frictions connected to their resolution levers.
  • Five change-management levers organised for an SME or mid-cap.
  • An AgentOps control plan and 12-month roadmap.

Version française →

What you will find inside

The content follows an industrialisation decision from diagnosing the blockage to measuring results.

Key figures

Every figure retains its population, date and subject so that a benchmark is not converted into an individual prediction.

46%

only of AI PoCs reach production: half stay stuck at the pilot stage.

Source: IDC × Lenovo, CIO Playbook 2026

10-20-70

10% algorithms, 20% technology implementation and data, 70% people and processes.

Source: BCG, AI Transformation Is a Workforce Transformation, 2026

20.0%

of EU27 enterprises were using AI in 2025: 17% of small companies against 55% of large ones.

Source: Eurostat, December 2025

70.9%

of European companies that considered AI without adopting it cite a lack of skills.

Source: Eurostat, December 2025

30%

only of organisations redesign their core processes around AI. 37% use it superficially.

Source: Deloitte, State of AI in the Enterprise 2026

47%

of workers already spend more time directing and supervising AI than doing the work themselves.

Source: BCG, AI at Work 2026 (3 June 2026)

74%

of surveyed companies had already pulled a customer-facing AI agent out of production, a signal in favour of continuous control.

Source: Sinch, May 2026 (2,527 decision-makers, 10 countries)

Access the white paper

The text is available online and as a PDF to suit the way you work.

  • A web edition structured by chapters and anchors.
  • A PDF copy for offline reading.

Read the online version

The web edition provides the complete content without a form.

  • Navigable contents.
  • Sources and links available directly.
Read online →

You can also write directly to contact@paulantoinetual.fr.

Frequently asked questions

Why do only 46% of AI PoCs reach production?

The 46% figure describes the rate reported by IDC-Lenovo, while BCG's framework separates the conditions for success into three complementary categories.

  • 10% concerns algorithms.
  • 20% concerns technology implementation and data.
  • 70% concerns people and processes.
What is AgentOps?

AgentOps extends software operations to the lifecycle of probabilistic agents that observe, reason and act on a business process.

  • Observe and replay trajectories.
  • Evaluate changes against reference cases.
  • Control action rights, human validation and takeover.
  • Track costs, incidents and resilience.
How much does industrialising AI cost in an SME?

The white paper proposes an indicative budget of €30,000 to €80,000 over 12 months for an SME or mid-cap with 50 to 500 staff, to be recalculated for the actual scope.

  • The budget should include deployment, operation, supervision and correction.
  • Bpifrance and EDIH support depends on eligibility, dates and caps checked at application.
  • ROI is calculated over a defined period from attributable benefits and total costs.
How does it differ from the first white paper?

The two white papers address successive decisions in an AI transformation.

  • Maturity of AI in French SMEs helps position the organisation.
  • From PoC to Industrialisation helps select, produce, measure and govern scaling.
What does the Junyr.eu AI Maturity Audit include?

The audit is a calibrated first conversation for positioning the enterprise and selecting its next project.

  • A free 30-minute video call with no commitment.
  • A shared structure led by a Junyr.eu network practitioner.
  • A one-page deliverable with the position, main obstacle and first relevant project.