If you are shopping for AI tooling this quarter, stop. You are likely making the same mistake most engineering teams make: buying the tool before understanding the process. A new practical checklist from developer Ujjwal Dubey argues that teams often demo a chatbot, wire a quick Zapier integration, watch a happy-path recording, and then realize the actual business logic lives in WhatsApp forwards, a shared spreadsheet nobody owns, and the heads of three people who 'just know' when a lead is hot.

The Trap of Happy-Path Demos

The core issue is that AI vendors sell against idealized workflows. You see a slick interface where data flows cleanly from left to right. But in reality, your internal processes are messy. If you do not map out the actual data lineage and decision points first, you end up automating a fiction. The source material highlights that without this preliminary audit, you do not get true automation; you just get a more expensive way to handle exceptions.

Practical Steps for Builders

Before signing any AI contract, builders need to identify the real sources of truth. This means shadowing the people who actually do the work, not just the managers who present the process. You need to find the undocumented stepsβ€”the 'tribal knowledge' that exists only in Slack DMs or hallway conversations. If your workflow relies on human intuition to determine when a lead is 'hot,' an AI model trained on structured data will fail to capture that nuance without explicit, documented criteria.

Key Takeaways

  • Map the actual workflow, not the intended one, before evaluating AI tools.
  • Identify undocumented decision points, such as 'hot lead' criteria, that rely on human intuition.
  • Avoid relying solely on happy-path demos; test against messy, real-world data sources like spreadsheets and chat logs.
  • Ensure there is a clear owner for the data sources you plan to automate.

The Bottom Line

AI is a multiplier, not a fixer. If your workflow is broken, undocumented, or reliant on tribal knowledge, AI will just help you break things faster and more expensively.