AI user guides

By Gen. AI Platform

By Prompt Engineering Model

Level Model Main Use
Beginner WISE (Who, Intent, Scenario, Example) Structuring AI-driven prompts intuitively
Beginner CASE (Context, Aim, Specifics, Examples) Writing a detailed and precise AI request
Intermediate FRAME (Function, Role, Application, Method, Examples) Obtaining refined and tailored AI responses
Intermediate CORE (Challenge, Objective, References, Execution) Complex and well-structured AI strategies

Beginner Level: Simple and Structured Models

WISE Model (Who? Intent? Scenario? Example?)

Ideal to structure their AI prompts in a simple and effective way.

Structure :

  • Who? → Define the role of AI (e.g., assistant, consultant, analyst)
  • Intent? → Explain the purpose of the prompt
  • Scenario? → Provide context or a use case
  • Example? → Include an example for clarity

Example of a prompt using WISE: “As the CEO of an SME with 100 employees, I want to use AI to support our innovation process and improve the quality of our services. What AI tools can I implement to automate the collection and analysis of customer feedback to optimize our offerings and increase customer satisfaction? Provide three AI-driven solutions tailored to SMEs with real-world examples.”

CASE Model (Context – Aim – Specifics – Examples)

Useful for precise AI solutions for specific business challenges.

Structure :

  • Context: Briefly describe the situation
  • Aim: Define the business goal of the prompt
  • Specifics: Outline constraints such as budget, tools, or team size
  • Examples: Provide relevant case studies or best practices

Example of a prompt using CASE: “I am a Marketing Director in an SME with 80 employees. We struggle to leverage customer feedback and market trends to develop better services. How can AI help us analyze customer reviews and identify new business opportunities? Recommend AI-driven solutions that are budget-friendly and tailored for SMEs.”

Intermediate Level: Advanced and More Precise AI Prompting Models

FRAME Model (Function – Role – Application – Method – Examples)

A structured model for receiving precise, actionable AI recommendations tailored to a specific role and challenge.

Structure :

  • Function: Define the primary goal or role of the AI in solving a business challenge.
  • Role: Specify the department or managerial role that will use the AI solution.
  • Application: Describe how AI will be applied to address the business need.
  • Method: Outline the approach, tools, or techniques AI should use.
  • Examples: Provide real-world references, use cases, or best practices.

Example with FRAME :

  • Function: Sales Director
  • Role: Improve customer experience
  • Application: AI for service personalization and automation
  • Method: Implement AI-powered CRM for predictive insights
  • Examples: SME success stories using AI for customer retention

Example of a prompt using FRAME: “As a Sales Director in an SME with 40 employees, I want to integrate AI to enhance service quality and boost customer satisfaction. How can AI help predict customer needs, personalize our offerings, and improve user experience? Provide a 5-step action plan with real-world AI tools and case studies.”

CORE Model (Challenge – Objective – References – Execution)

A model for seeking a deep analysis and well-structured AI recommendations for strategic business improvements.

Structure :

  • Challenge: Define the business issue to be solved
  • Objective: Describe the expected outcome
  • References: Provide relevant case studies or benchmarks
  • Execution: Suggest a structured implementation plan

Example of a prompt using CORE: “I am a Quality Manager in an SME with 100 employees in the manufacturing sector. We aim to use AI to enhance quality control processes and increase customer satisfaction. How have SMEs successfully adopted AI for quality assurance and defect reduction? Provide an analysis of best practices, AI tools used, and measurable results. The response should be structured in three sections: diagnosis, AI solutions, and observed impact.”