Brevity Course

AI Business Foundation

Une entree compacte pour les equipes qui veulent evaluer l'AI serieusement et l'utiliser au quotidien sans tomber dans le hype outil.

Ce que tu sauras faire

- Classer les opportunites AI
- ecrire des prompts avec contexte
- identifier les premiers workflows
- nommer risques et validations

Modules

Module 01

AI in real business work

Build a practical AI map for the work a small company already does. The learner separates real operational use from impressive but low-value demos.

Checkpoints

- Name the recurring work, owner and current pain
- Score each task for frequency, data sensitivity and review need
- Separate draft support, analysis support and action support
- Choose one low-risk task for a first AI trial

Livrable

A ranked AI opportunity list with one recommended first use case.

Assessment

Explain why the chosen task is useful enough to test and safe enough to keep under human review.

Module 02

Prompting with business context

Turn prompting from random chat into a controlled work instruction with context, sources, constraints and expected output.

Checkpoints

- Define role, goal, audience and source material
- Add constraints for tone, format, uncertainty and forbidden actions
- Specify what the model should do when information is missing
- Compare weak prompt output with controlled prompt output

Livrable

A reusable business prompt template for one real recurring task.

Assessment

Show how the improved prompt reduces ambiguity and makes review easier for a colleague.

Module 03

Workflow and risk basics

Learn where AI may draft, where it must cite sources and where a human decision is mandatory.

Checkpoints

- Draw the workflow from input to final decision
- Mark each AI-assisted step as draft, analysis, routing or action
- Place approval points before customer-facing or financial output
- Define what should never be automated in this workflow

Livrable

A simple workflow control map with approval and no-go points.

Assessment

Describe the highest-risk step and the control that keeps it acceptable.

Module 04

Adoption plan

Convert learning into a small adoption step with ownership, scope, success signal and review rhythm.

Checkpoints

- Choose one owner and one team context
- Define the first two-week test scope
- Set a measurable success signal
- Write the review cadence and next decision point

Livrable

A one-page AI adoption note ready for internal discussion.

Assessment

State what would make the pilot continue, change direction or stop.

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AI in real business work

Build a practical AI map for the work a small company already does. The learner separates real operational use from impressive but low-value demos.

Checkpoints

- Name the recurring work, owner and current pain
- Score each task for frequency, data sensitivity and review need
- Separate draft support, analysis support and action support
- Choose one low-risk task for a first AI trial

Livrable

A ranked AI opportunity list with one recommended first use case.

Assessment

Explain why the chosen task is useful enough to test and safe enough to keep under human review.

Prompting with business context

Turn prompting from random chat into a controlled work instruction with context, sources, constraints and expected output.

Checkpoints

- Define role, goal, audience and source material
- Add constraints for tone, format, uncertainty and forbidden actions
- Specify what the model should do when information is missing
- Compare weak prompt output with controlled prompt output

Livrable

A reusable business prompt template for one real recurring task.

Assessment

Show how the improved prompt reduces ambiguity and makes review easier for a colleague.

Workflow and risk basics

Learn where AI may draft, where it must cite sources and where a human decision is mandatory.

Checkpoints

- Draw the workflow from input to final decision
- Mark each AI-assisted step as draft, analysis, routing or action
- Place approval points before customer-facing or financial output
- Define what should never be automated in this workflow

Livrable

A simple workflow control map with approval and no-go points.

Assessment

Describe the highest-risk step and the control that keeps it acceptable.

Adoption plan

Convert learning into a small adoption step with ownership, scope, success signal and review rhythm.

Checkpoints

- Choose one owner and one team context
- Define the first two-week test scope
- Set a measurable success signal
- Write the review cadence and next decision point

Livrable

A one-page AI adoption note ready for internal discussion.

Assessment

State what would make the pilot continue, change direction or stop.