Assess whether a specific AI initiative has the data, systems, people, and controls needed to succeed.
Review workflow costs and quality, inspect integrations and permissions, and identify gaps. Compare possible pilots using business value, feasibility, risk, and ongoing operating effort.
An evidence-backed readiness view, prioritized opportunities, prerequisite register, and a practical pilot plan. 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.
An evidence-backed readiness view, prioritized opportunities, prerequisite register, and a practical pilot plan. 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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