Designing approval gates people actually trust
Automation fails review when nobody can explain why a decision was made. A practical model for where to place human checkpoints and what to log at each one.
July 14, 20268 min read
Blog
Field notes on automation that holds up
Writing from the people who build and deploy Amplify AI — focused on what actually survives contact with production and compliance review.
Confidence scores are a routing signal, not a grade
How to translate field-level extraction confidence into exception queues, thresholds, and review load that operations teams can staff predictably.
June 27, 20266 min read
The first ninety days of an automation program
What we see work: one owned process, measured before and after, then a template library — instead of a platform-wide rollout with no baseline.
June 3, 20269 min read
What security reviewers ask about AI vendors
A walkthrough of the questions that come up in enterprise review — model data handling, retention, subprocessors — and how to answer them with evidence.
May 19, 20267 min read
Idempotency for long-running workflow runs
Retries are inevitable in multi-system processes. How we model run identity, step checkpoints, and safe replay after a downstream failure.
April 30, 202610 min read
Why versioning workflows matters more than building them fast
A workflow is a business rule. Treating revisions like code changes — reviewed, diffable, reversible — is what keeps automation maintainable.
April 8, 20265 min read