Worktree blog
Clear thinking for teams deciding where AI can help, how a workflow should be controlled, and what it takes to keep useful work running.
Featured note
IBM's Client Zero program is a useful case because its reported gains came from redesigning work across process, data, automation, AI and operating ownership—not from treating model selection as the transformation.
Worktree note
A practical way to decide when evaluation evidence justifies AI agent write access—and when ambiguity, irreversibility, or weak detection should keep an action supervised.
Worktree note
A practical pre-production review of an AI agent's purpose, owner, data, identity, tools, authority, approvals, evaluation, evidence, response, change, and removal.
Worktree note
A practical way to estimate AI automation cost across workflow design, integration, controls, testing, internal effort, runtime, and ongoing operation.
Worktree note
Eight practical decisions that carry one AI workflow from selection and integration through controls, evaluation, acceptance, launch, and ongoing operation.
Worktree note
A workflow-level monitoring method that connects technical telemetry with quality, authority, exceptions, cost, business outcomes, and a clear operating decision.
