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AI & Machine Learning

Prompt Engineering for Business: Getting Better Results from AI Tools

VP

Vishnu Prasad

Lead Solutions Consultant

May 2025
6 min read

Why Prompt Engineering Matters

The difference between a useless AI response and a brilliant one often comes down to how you ask. Prompt engineering is the skill of crafting instructions that guide AI models to produce the exact output you need. For businesses using AI tools daily, this skill directly impacts productivity.

The CRISPE Framework

A reliable prompt structure for business tasks:

  • Capacity — Define the AI's role (e.g., "You are a senior Odoo consultant").
  • Request — State exactly what you want (e.g., "Create a migration checklist").
  • Insight — Provide context (e.g., "Migrating from Odoo 15 to 18").
  • Style — Specify format (e.g., "Use a numbered list with brief explanations").
  • Personality — Set tone (e.g., "Professional but approachable").
  • Experiment — Iterate on the output.

Common Business Prompts

For accounting teams: "Analyze this CSV of monthly expenses and identify the top 5 cost categories with month-over-month trends. Present as a summary table." For HR: "Draft an onboarding email sequence for a new developer joining our Odoo team — 3 emails over 2 weeks."

The Golden Rule

"Specificity is the soul of good prompting. The more context and constraints you provide, the better the AI output."

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