How do I find workflows worth applying AI to?

Question

James Gray · Accepted Answer

Short answer: Run a structured audit of your daily and weekly tasks, naming for each the work, the pain, and the kind of value AI would add (Streamline, Automate, Accelerate, or Create value) — to find where AI can save time, reduce errors, or make something new possible. The Full Answer Most people adopt AI reactively — they reach for ChatGPT when stuck on an email or ask Claude to summarize a document. That's useful, but it misses the bigger picture. The AI Workflow Framework provides a structured seven-step approach to this question — discover where AI fits, deconstruct those workflows into building blocks, then build. A proactive, structured audit of your workflows will reveal opportunities you'd never notice in the moment: repetitive tasks that could run on autopilot, decisions that benefit from an AI collaborator, and multi-step processes that could be orchestrated end-to-end. You can approach this from two angles: the individual lens (what do I personally do that's repetitive or time-consuming?) and the organizational lens (what value chain processes could AI improve across my business?). Both are valid starting points — the individual lens is often easier, while the organizational lens surfaces higher-impact strategic opportunities. The key is to judge value, not mechanism. For each opportunity, name the work, what is slow or error-prone about it today, what gets produced, and the value lever AI would pull: Streamline (the work still happens the same way, with fewer steps), Automate (a person stops doing something they do now), Accelerate (the outcome arrives sooner, or more of it does), or Create value (something becomes possible that was not done at all before). How much the AI should decide on its own, and whether a person takes part while it runs, are settled later in Design (Step 3), once the workflow's steps are known — that is where the AI Workflow Design Matrix comes in. To run the audit, use the Analyze AI Workflow Opportunities — a meta prompt that guides an AI through a structured process: scanning what it already knows about your work, interviewing you to fill gaps, then producing a prioritized report with specific opportunities and a recommendation on which to build first. Once you've identified opportunities, use the Deconstruct Workflows to break individual workflows into AI building blocks and understand exactly where automation fits. How to Get Started 1. Enable memory in your AI tool of choice (Claude, ChatGPT, or Gemini) so the AI can draw on what it already knows about your work 2. Copy the prompt from the Analyze AI Workflow Opportunities 3. Paste it into any conversation — the AI will scan its context, interview you, and produce a structured report 4. Pick 1-2 opportunities to pilot first — don't try to pursue everything at once :::tip[Start small] If you're new to AI, start with a workflow of roughly 3–5 steps that touches one system and that you start by hand — it teaches the full loop with the least at stake. Come back for the opportunities where the AI would need to decide more once you've shipped a small one. ::: Key Takeaways Don't wait for problems — proactively audit your workflows to find AI opportunities Name the value lever for each opportunity: Streamline, Automate, Accelerate, or Create value — how much the AI decides is a Design question Use the six use case primitives — content creation, research, coding, data analysis, ideation, and automation — to classify what type of work each opportunity involves Use the Analyze AI Workflow Opportunities meta prompt to run a structured audit The richer context your AI has about your work, the better the recommendations Start small — pick 1-2 opportunities and pilot them before scaling Related Questions What is a system prompt?