Understanding the Importance of Context

An AI model always works from the information provided to it. Without context, it produces generic responses that are sometimes relevant but rarely directly usable. A well-contextualized AI understands the company's priorities, business vocabulary, regulatory constraints, strategic objectives, and operating methods. It then becomes a true operational copilot.

Levels of Contextualization

Context Pack

Provide the AI directly with a set of key documents: internal presentations, procedures, commercial offers, roadmaps, standard contracts, or strategic reports. Ideal for workshops and ad-hoc missions.

Knowledge Distillation

Transform raw documents into synthesized knowledge: stabilized summaries, business glossaries, decision rules, and internal references. Validated by teams and used as a permanent base.

Strategic Context

The AI integrates governance rules: which objectives are priorities, which budgets are constrained, which decisions have already been made, and which options are excluded.

RAG (External Memory)

At scale, context is stored in dynamically queryable knowledge bases. Documents are indexed, vectorized, and consulted on demand by the AI for internal support and knowledge capitalization.

Understanding Prompting

The prompt is the instruction given to the AI. It plays the same role as a brief addressed to a collaborator. A good prompt specifies the situation, the expected role, the task to accomplish, the output format, and the desired tone.

Prompting Strategies

Simple Prompt

Direct request formulation. Quick but often produces generic results. Suitable for brainstorming or first drafts.

CRAFT Method

Structures the request around Context, Role, Action, Format, and Target. Produces deliverables close to professional work. Ideal for reports and strategic plans.

Iterative Prompting

Build the response progressively through multiple exchanges. Particularly suited for complex analysis, product design, or scenario development.

Example-Based Prompts

By providing existing documents, the company allows the AI to reproduce its standards. Effective for contracts, commercial proposals, and financial reports.

Personas & Chaining

Persona prompts adapt the response to the target audience. Chaining breaks down complex tasks into successive sub-steps, facilitating project management.

Prompt Library

Build an internal library of validated prompts with variables that can be adapted to each situation. Ensures quality consistency and accelerates deliverable production.

Cross-Functional Use Cases

Finance & Business Cases HR & Recruitment Sales & Personalization IT & Documentation Strategy & Market Analysis
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