---
title: "How to Identify and Scale High-Impact AI Use Cases"
description: "What if the fastest way to create value with AI isn’t by chasing a single killer app—but by spotting dozens of everyday moments where AI can quietly make life easier?"
author: "Carlos Luengo Vera"
date: "2025-04-20"
lang: "en"
category: "AI"
tags: "generative ai, workplace ai, use case design, productivity, ai enablement"
canonical: "https://carlosluengo.com/blog/2025-04-20-identify-scale-ai-use-cases"
---
# How to Identify and Scale High-Impact AI Use Cases

> What if the fastest way to create value with AI isn’t by chasing a single killer app—but by spotting dozens of everyday moments where AI can quietly make life easier?

That’s the approach behind the OpenAI guide _"Identifying and Scaling AI Use Cases"_, based on insights from over 300 deployments and 2 million users. This post breaks down the most practical lessons, ready for teams who want to move from “playing with AI” to _delivering real impact_.

## TL;DR – Use Cases Are Everywhere (If You Know What to Look For)

1. Start with **repetitive tasks**, **skill bottlenecks**, and **ambiguous work**.
2. Teach teams the **6 AI primitives** that unlock productivity across any role.
3. Use a simple **impact/effort matrix** to prioritise use cases that matter.
4. Think beyond single tasks—_map full workflows_.
5. Build a culture where people experiment, test, and share their own use cases.

## Key Principles for Finding Great Use Cases

- **Lead from the top.** Senior sponsorship is key.
- **Start simple.** Avoid over-engineering. Quick wins build momentum.
- **Make it social.** Hackathons, Slack channels, and peer GPTs help spread adoption.

## The 3 Work Areas Where AI Excels

**1. Repetitive, low-value tasks:**

- Writing summaries
- Updating dashboards
- Answering common questions

**2. Skill bottlenecks:**

- Running queries without a data team
- Drafting designs or mockups
- Creating reports without an analyst

**3. Ambiguity blockers:**

- Brainstorming ideas
- Getting unstuck when starting a task
- Structuring complex plans

## The 6 AI Use Case Primitives

These are reusable patterns that work across most teams:

- ✍️ **Content creation** – Emails, documents, campaigns, scripts
- 🔎 **Research** – Market scans, benchmarks, summaries
- 💻 **Coding** – SQL, Python, HTML, debugging
- 📊 **Data analysis** – Trends, harmonisation, visuals
- 💡 **Ideation & strategy** – Brainstorms, plans, feedback
- 🤖 **Automation** – Scheduled reports, smart summaries, GPT flows

## Prioritising with Impact vs Effort

Use a simple 2x2 to decide what’s worth scaling:

|             | Low Effort    | High Effort     |
| ----------- | ------------- | --------------- |
| High Impact | ✅ Quick Wins | 🚀 Big Bets     |
| Low Impact  | 🤏 Self-serve | ❌ Deprioritise |

Examples:

- **Quick win:** Auto-summarise meetings
- **Big bet:** Custom multilingual GPT for credit risk
- **Self-serve:** Personalised SQL queries
- **Deprioritise:** Replacing tools that already work well

## From Tasks to Workflows

The best users don’t stop at a single task—they link AI across steps:

**Example: Marketing Campaign Flow**

1. Research trends → 2. Analyse audience data → 3. Brainstorm ideas → 4. Create assets → 5. Automate localisation

## Building AI Culture

Great AI rollouts aren’t just technical—they’re cultural:

- Run hackathons or "use case olympics"
- Create GPT labs like Estée Lauder’s cross-functional teams
- Set up shared spaces for ideas, templates, and prompts

## My Take

This guide is gold for teams trying to make AI useful _today_. The "6 primitives" idea is so practical—it turns vague possibilities into tangible action. If you want to democratise AI inside your org, this is the playbook.

📎 [Full Guide PDF](https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf?utm_source=generativeaienterprise.ai&utm_medium=newsletter&utm_campaign=openai-s-best-practices-from-300-implementations)

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Author: Carlos Luengo Vera — https://carlosluengo.com/about