Teams often buy AI hoping it will “figure out” messy workflows. In practice, AI amplifies whatever process you already have — organized or chaotic. Spending one afternoon documenting a workflow usually returns more value than another month of tool shopping.
Write the current-state version first
List each step as it happens today, including informal ones: Slack messages, spreadsheet updates, and manager sign-offs. Do not write the ideal process yet. AI and automation vendors need reality, not wishful thinking.
Mark decision points
Highlight where a person must choose: approve a discount, escalate a complaint, or verify identity. These gates should stay human unless you have clear rules AI can follow.
Add examples, not jargon
Include one sample input and output for each step. “Generate summary of support ticket” works better with a real ticket example attached.
Then pilot automation on one step
Automate data entry or draft generation — not the entire chain. Measure errors for two weeks. Expand only when the error rate is acceptable for your customers.
