Define who is accountable for an AI workflow and what it may access, generate, or change.
Translate the organization's requirements into access controls, human approvals, evaluation cases, release checks, and incident procedures. Review the controls with business, engineering, security, and relevant advisers.
A responsibility map, documented limits, evaluation evidence, approval rules, and operating procedures that can be tested and reviewed. Deliverables, timing, and support are agreed for the engagement.
We compare quality, current effort, implementation costs, and ongoing operation before recommending expansion. Important actions retain agreed approvals and a recovery path. Explore our related service, Microsoft technology stack, and delivery methodology, or discuss your workflow with WTA.
A responsibility map, documented limits, evaluation evidence, approval rules, and operating procedures that can be tested and reviewed. The scope defines ownership, prerequisites, and acceptance criteria before delivery begins.
We agree on approved data, user permissions, and tool access before implementation. Important changes retain human approval where needed. Testing covers unusual requests, failed integrations, recovery, and attempts to exceed permissions. The business and technical owners remain responsible for the deployed workflow.
Compare pilot evidence with the current process and agreed acceptance measures. Review task quality, completion time, errors, and the full cost of operation, including human review and support. Expand only when results justify it, with clear ownership and a practical recovery plan.
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