article
Evaluate the decision before automating it
Teams often score model outputs while ignoring whether the surrounding decision process improves.
Emil Shirokikh · Published September 17, 2026 · Updated September 23, 2026 · 2 min read
Abstract
Automation should be evaluated against the outcome it changes, including delay, review burden and the cost of confident errors. A high-scoring model can make a weak process worse.
Evaluate the decision
Scoring model output alone ignores delay, review effort, escalation quality and the cost of confident errors. The relevant unit is the full decision process.
Comparison protocol
Freeze a representative case set. Record today’s outcome, cycle time and review effort; then run the proposed workflow on the same cases, including abstentions and adversarial examples.
Release evidence
A release earns approval when the workflow improves, not merely when the model score rises.
Challenge the conclusion
Not every benefit is immediately measurable. Qualitative judgment remains useful when criteria and reviewers are named in advance.
Use this in a working session
Have operators score both workflows blind where practical, then compare disagreements rather than averaging them away.
BELTO editorial analysis. It does not describe a client engagement or claim a commercial result.
References
2 sourcesAuthor
Emil ShirokikhFounder
Founder of Belto Inc. Writes on engineering, venture building and applied intelligence.
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