AI in sales and marketing
M28
Ensure campaign compliance and protect client lists.
Online10–15 min
Training by function
Sales and marketing
AI multiplies content production, and the risk of false promises, IP infringement and client-list leaks. This path secures your campaigns without curbing creativity.
Why this path
Your claims always bind you.
A promise invented by AI binds the company as if a human had written it. A generated visual may reproduce a protected work, and uploading a CRM database into a public tool exposes your clients. This path teaches how to disclose AI use, verify IP and protect data.
The module dedicated to your function
The common core for everyone
The baseline reflexes your whole team shares, whatever the job.
Understanding generative AI
M01
Demystify the probabilistic engine and distinguish it from predictive AI.
Online10–15 min
A probabilistic engine predicts the most plausible word without understanding meaning: brilliant, but sometimes wrong. Never feed it confidential data in a public tool.
RegisterHallucinations
M02
Identify fabricated information and how to verify it at the source.
Online10–15 min
A hallucination is fabricated information presented confidently. The risk is real on expert tasks (figures, citations): every output must be verified at the source.
RegisterUsing an assistant well
M03
Structure your prompts (Role + Context + Task + Format) and iterate.
Online10–15 min
Good results come from a structured prompt and an iterative approach. Providing examples of the desired output markedly improves quality.
RegisterConfidential data: the basic reflexes
M04
Sort your data and de-identify rigorously before every prompt.
Online10–15 min
Anything entered into a public AI can be retained and reused. Never client names, salaries or API keys; removing just the name is not enough.
RegisterApproved tools and "shadow AI"
M05
Recognize shadow AI and have tools approved by IT.
Online10–15 min
Shadow AI is the use of unapproved tools, often free and poorly protective. The reflex: check the IT allowlist and get the tool approved before using it.
RegisterYou remain responsible: the human role
M06
Apply "human-in-the-loop" and the "four eyes" method.
Online10–15 min
AI is a gifted junior assistant with no judgment: final responsibility stays human. Review and validate every deliverable as if you had written it yourself.
RegisterGo deeper for your context
The modules most relevant to the risks specific to your function.
Intellectual property and generated content
M17
Grasp the copyright grey zone and the risk of infringement.
Online10–15 min
A creation from a simple prompt is generally not protectable, lacking human input. Legal value comes from creative contribution, not prompt length.
RegisterTransparency: when and how to disclose AI use
M18
Know when disclosure is required and how to phrase it.
Online10–15 min
Inform people they are interacting with an AI and own its use while affirming human validation. For low-level assistance, disclosure remains optional.
RegisterReusing existing data
M09
Assess whether a new use is compatible with the original purpose.
Online10–15 min
Holding data does not grant unlimited usage rights. A compatible use is allowed; a different, incompatible objective requires new consent.
RegisterReady to equip your team?
Enroll your teams in our AI-literacy and governance training paths, from the common core to function-specific use cases.
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