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SMEs and Artificial Intelligence: The Importance of Proper Governance

Published on July 24, 2026by Pierre Coulanges2 min read
SMEs and Artificial Intelligence: The Importance of Proper Governance
Photo: Igor Omilaev / Unsplash

According to the 2026 Konica Minolta Digital Serenity Barometer, 53% of SMEs view artificial intelligence (AI) as an opportunity, but only 26% actually use it. Additionally, 90% of SMEs have not established any usage rules for AI, leading to the rise of “shadow IT” (francenum.gouv.fr).

Two useful companions before diving in: what an AI agent actually does in a small business, and GDPR and automation for the personal-data side.

Why is AI Governance Essential for SMEs?

Lack of AI governance can lead to several risks for SMEs:

  • Data Security: Without a defined framework, sensitive data may be mismanaged or exposed.
  • Regulatory Compliance: Uncontrolled use of AI can result in violations of existing regulations.
  • Operational Efficiency: Disorganized AI adoption can lead to inefficiencies and redundancies in processes.

Real-World Examples of Effective AI Governance in SMEs

AI governance in a 20-to-200-people company requires neither a committee nor a dedicated budget. Three decisions are enough, and they fit into half a day of work:

  • Define Specific Objectives: Improve product quality and reduce waste.
  • Ensure Employee Training: Raise awareness of AI tools and their proper use.
  • Implement Security Protocols: Protect data collected and generated by AI.

None of these three decisions is technical — they are organisational. Which is precisely why they are almost never made.

Key Considerations When Implementing AI Governance

  • Needs Assessment: Identify areas where AI can provide real value.
  • Continuous Training: Ensure employees stay informed about technological advancements and best practices.
  • Monitoring and Evaluation: Establish indicators to measure the effectiveness of AI solutions and adjust as needed.

Where to Start?

  1. Internal Audit: Assess the current state of AI usage within the company.
  2. Write the rules on one page: which tools are approved, which data must never be pasted into a public model, and who decides on exceptions.
  3. Name a single owner: not a committee — one person who arbitrates and keeps the list of approved tools current.
  4. Review it quarterly: the tool landscape moves faster than your procedures.

Our approach at D1 Consulting

We help SMEs frame AI usage without freezing it: an inventory of what actually runs on workstations, a one-page usage policy, and a short list of approved tools. See our process automation & optimisation offer.

👉 Want to govern AI usage without blocking your teams? Book a free 30-minute assessment: you leave with a usage policy and a list of approved tools.

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