A sane framework for AI automation ROI
Before you buy another seat of generic AI, map the workflow, failure cost, and human checkpoint. Here is the worksheet we use with clients.
Automation2026-03-12 · 8 min read
Most automation pitches skip the hard part: defining what “done” means when the model is wrong. We start with a simple grid, task frequency, cost of error, and reversibility, and only then choose tooling.
When error cost is high, we design for human-in-the-loop by default. That is not a compromise; it is how you ship without gambling your brand.
Finally, we instrument everything. If you cannot trace which step failed, you do not have automation, you have a demo.
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