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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. For product OEMs with deep technical knowledge bases, see the guided AI technical support use case. For the broader portfolio across support, sales, operations and business systems, explore operational AI use cases.
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.