Establish a framework for AI use
How can you translate generative AI risks into applicable rules and test understanding of them before rollout?
3500 € per session, excl. VAT
In short
Two days, comprising 14 hours excluding breaks, to design a prototype generative AI usage policy, clarify responsibilities and prepare a pilot. Participants develop decision rules, test them against ambiguous situations and define the evidence needed to evaluate their application before internal approval.
Why this training?
A blanket ban can drive usage towards hidden practices; a simple charter of principles leaves employees to deal with sensitive data, errors and responsibilities on their own. An applicable policy links each use to verifiable conditions: an authorised tool, admissible data, human oversight and an escalation pathway. Its effectiveness must be tested, not merely asserted. Running case study: The fictitious organisation Avelune Signalétique wishes to establish a framework for commercial writing, summarising supplier files and HR assistance. Undeclared uses and a simulated sharing of confidential data necessitate a common policy, without blocking admissible uses. Transfer to the workplace: Present the prototype to the relevant functions, adapt the rules to the actual context and launch only the approved pilot. Record misunderstandings, incidents and exceptions to decide on corrections before wider rollout.
Objectives of this training
- Map uses and their risks
- Draft rules authorising, setting conditions for or prohibiting each use
- Assign responsibilities for approval and escalation
- Test the policy against contradictory scenarios
- Develop a pilot with quality indicators
Who is it for and what are the prerequisites?
Roles and tasks concerned
- Transformation leads, AI governance leads and operational management
- Key contacts for security, data protection, legal affairs and human resources
Prior skills
- Have practical experience of generative AI and understand its reliability limitations.
- Know the internal security, compliance and approval pathways.
What you will work on
Define the scope of the policy
Objective: Establish the scope covered. Employees, service providers, individual uses and integrations; alignment with existing rules.
Classify uses
Objective: Prioritise risks. Confidentiality, errors, bias, intellectual property and the consequences of decisions.
Define authorisation conditions
Objective: Develop verifiable rules. Data categories, authorised tools, retention and necessary contractual checks.
Organise decision-making on trade-offs
Objective: Assign responsibilities. Approval by the relevant business function, security, data protection and legal teams; limited exceptions and reassessment.
Draft the prototype
Objective: Assemble an understandable policy. Human oversight, source verification, proportionate traceability and user obligations.
Prepare the tests
Objective: Make quality measurable. Expected decisions, ambiguities, severity and observation grid.
Put the rules to the test
Objective: Identify divergent interpretations. Cross-testing and comparison of justifications.
Handle an incident
Objective: Test the organisational response. Reporting, limiting exposure, proportionate retention of evidence and escalation.
Prepare for adoption
Objective: Translate the clauses into instructions. Examples specific to business functions, responses to objections and access to designated contacts.
Define the pilot
Objective: Prepare for a decision on wider rollout. Limited scope, agreement between assessors, adjudication timeframe, incidents and stopping criteria.
What you take away
- Version-controlled policy prototype and usage matrix
- Responsibilities table and incident procedure
- Test dossier with anomalies and corrections
- Pilot plan, communication kit and indicator table
Method and assessment
- Short instructional sessions followed by immediate practice on the running case study.
- Individual work followed by work in pairs, with peer review of the outputs.
- Facilitated group discussion: what works, what needs to be corrected and what remains a human decision.
- Preparation: Identify three intended uses and the categories of data involved, without sharing confidential content. Prepare anonymised extracts from internal rules; use only tools authorised by the organisation.
Observable criteria: Each use is assigned a justified status and explicit conditions. ; Each sensitive decision has an owner and an escalation route. ; Tests compare the decisions obtained with the expected decisions. ; Any ambiguities identified are corrected or recorded for adjudication. ; The pilot specifies the scope, indicators, thresholds and stopping conditions..
Frequently asked questions
Will the policy be immediately enforceable?
No. The prototype requires internal approvals and the applicable formalities.
Can real case files be used?
The exercises use only fictitious or anonymised cases, within authorised tools.
Does the training replace a legal analysis?
No. It identifies the judgement calls that must be referred to the relevant functions.
Is the full rollout carried out?
No. The two days produce a tested prototype and a pilot plan.
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