How do I find workflows worth applying AI to?

Short answer: Run a structured audit of your daily and weekly tasks, classifying each by autonomy level (Deterministic, Guided, Autonomous) and human involvement (Augmented, Automated) — to find where AI can save time, reduce errors, or automate entire processes.

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 Business-First AI 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 thinking in two dimensions. Autonomy describes how much decision-making the AI has: Deterministic (follows fixed rules — formatting reports, processing forms), Guided (makes bounded decisions — drafting, brainstorming, reviewing), or Autonomous (plans and adapts independently — research-to-report pipelines, monitoring systems). Human involvement describes whether a human participates during execution: Augmented (human reviews and steers in real time) or Automated (AI runs solo). These combine into the AI Workflow Design Matrix — six distinct workflow archetypes.

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 categorized report with specific opportunities and actionable first steps.

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

Start with Deterministic + Augmented

If you’re new to AI, start with Deterministic + Augmented workflows — they’re the easiest to try and lowest risk. Move to Deterministic + Automated once you trust the process. Explore Guided and Autonomous levels when you’re ready for more AI decision-making.

Key Takeaways

• Don’t wait for problems — proactively audit your workflows to find AI opportunities
• Think in two dimensions: autonomy (Deterministic, Guided, Autonomous) and involvement (Augmented, Automated)
• 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?