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AI automation built around workflows, guardrails and measurable business value
Workflow-first AI automation for triage, retrieval, reporting and decision support — with human hand-off where it matters and clear success criteria from day one.
Good AI starts with workflow clarity
Barberry treats misfit AI as a systems and process problem first — a model problem second. See the scoping article.
Typical use cases
Internal Q&A over vetted content, hand-off from form to person, first-pass triage, retrieval at the right step, and reporting with checks.
Delivery approach
Define scope, data boundaries, guardrails, and human checkpoints. Build on AWS-native patterns when they fit. Measure time saved, quality, and error rate — or stop.
Guardrails and governance
What the automaton may do, recommend, or may not do — in writing, testable, reviewable by your risk owner.