À la carte module · 4 h

Artificial Intelligence

Move from buzzword to concrete use cases. Identify, prioritize and prototype responsible AI solutions with measurable impact.

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85%
of AI proofs of concept never reach production
40%
of potential gains on repetitive tasks
x2
more likely to succeed with a clear methodology
The issue

The problem we address

Buzzword fatigue, compliance risks, and uncertain ROI. Companies swing between "magic AI" and inaction, with no methodology to identify the real use cases or assess the ethical and legal risks.

What you will be able to do

  • Qualify 5 concrete use cases and prioritize them using a value/effort matrix suited to your context.
  • Prototype a proof of concept with an anonymized dataset and clear success metrics from the outset.
  • Set up safeguards: algorithmic bias, consent, auditability and GDPR compliance.
In the field

Does this sound familiar?

Low-value manual processes (data entry, classification) not identified as AI candidates

Poor understanding of AI types, expecting "magic AI" rather than targeted use cases

Proofs of concept launched without clear success metrics, making ROI impossible to measure

AI projects stalled by the difficulty of accessing clean, labeled data

Legal and ethical risks (bias, GDPR) ignored during the experimentation phases

"POC fatigue", inability to move from prototype to an integrated, maintained solution

Outcomes

The impact on your day-to-day

✓ A clear view of AI opportunities within your scope

✓ The ability to steer AI projects with the right metrics

✓ Command of ethical and regulatory risks

✓ A smooth transition from proof of concept to production

AI is not a magic wand. The real challenge is not the technology, it is asking the right questions: what data do I really have? What business problem am I solving? How do I measure success? The companies that succeed with their AI projects are the ones that take the time to structure their approach before writing a single line of code.
A AntoineAI Consultant
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Full details in the catalog.