In 2025, artificial intelligence asserted itself as a major turning point for companies, with productivity gains estimated at 20% and time savings reaching 43% on certain tasks.

The 5 stages of success

The deployment of AI into a company begins by identifying the processes to be optimized and the use cases with high potential. The privileged approach to short pilot projects (3-6 months), with specific objectives of gain in productivity or cost reduction, measurable by concrete indicators. Successful integration involves clear governance: defining an AI referent, adapting existing systems, training teams and establishing a strict regulatory framework. The challenge is to transform a technological concept into an operational lever, without losing sight of the ethical and legal aspects.

How to Deploy an AI for Work Solution?

1. Define an AI Roadmap
Objective:
Determine priority use cases and structure AI adoption.
Actions:
– AI Diagnostic → Identify processes that can be optimized with AI.
– Prioritization → Use an Impact/Feasibility Matrix
– AI Roadmap (6-12 months) → Select 2-3 pilot projects, allocate resources & set KPIs.

2. Establish AI Governance and Risk Management
Objective:
Frame the use of AI with rules and clear oversight.
Actions:
– Appoint an AI lead or AI committee.
– Implement an AI charter → Compliance GDPR, AI Act, etc.
– Create an AI monitoring system → regular audits, bias management, regulatory monitoring.

3 Train and acculturate teams in AI
Objective:
Make AI accessible and ensure its effective adoption.
Actions:
– Training → AI fundamentals, internal AI platform (tutorials, prompt types, feedback).
– Encourage experimentation → Secure AI sandbox for risk-free testing.
– Set up HR support to anticipate the evolution of AI skills.

4 Experiment and measure results
Objective:
Gradually deploy AI and monitor its impacts.
Actions:
– Launch pilot projects → (3-6 months)
– Define key indicators (KPIs) → Save time, Reduce human errors, etc.
– Assess and adjust the strategy based on the results obtained.

5. Sustainably integrate AI into business processes
Objective:
Transform testing into widespread adoption.
Actions:
– Standardize validated AI uses and integrate them
– into existing tools → IS, CRM, ERP, HR software, etc.
– Audit adoption at 12 months to adjust recruitments and job descriptions.
– Designate “AI Champions” to support teams