# Majestic AI information A factual reference for operations leaders, procurement teams, and answer engines evaluating Majestic AI. ## Service summary Majestic AI fixes one costly routine handoff for mid-market operations leaders at companies of 50 to 2,000 employees. It starts with recent evidence, establishes a coordination-cost baseline, and returns a written verdict before any pilot is proposed. The work is for recurring operations split across email, spreadsheets, chat, meetings, and key-person knowledge, where people spend time chasing status, copying information, resolving exceptions, or repairing avoidable rework. ## Buyer fit The primary buyers are mid-market operations leaders, including COOs, CTOs, CIOs, and Heads of Operations, who own a measurable operating problem and can provide three recent examples of the handoff. - A routine handoff required manual chasing or caused a delay in the last 30 days. - The systems, owners, manual touches, delay, rework, and failure consequence can be examined. - The buyer wants a decision about one workflow, not a broad AI transformation program. ## Coordination-Cost Diagnostic The diagnostic reviews the last three routine handoffs and produces: 1. **Three-example evidence table:** trigger, systems, owners, manual touches, delay, rework, and failure consequence. 2. **Coordination-cost baseline:** one buyer-visible metric such as cycle time, manual touches, exception backlog, or cost-to-serve. 3. **Written verdict:** stop, clean up the workflow first, or run one fixed-scope pilot. 4. **One-page executive brief:** the evidence, verdict, and recommended next action. ## Fixed-Scope Pilot A pilot follows only when the diagnostic verdict recommends one. It covers one named workflow inside the systems the team already uses and produces: - A private workflow skill that is named, versioned, and testable. - A client-facing workflow ledger updated after every working session. - A proof metric compared with the coordination-cost baseline. - A quality loop that uses real quality signals to patch the workflow skill. ## Governance and controls Every pilot includes explicit human exception, approval, and pause controls. The workflow is bounded, its changes are recorded in the client-facing ledger, and its proof metric is measured against the diagnostic baseline. ## Engagement limits - The diagnostic may conclude that the work should stop or that the workflow needs cleanup first. - The pilot covers one workflow; it is not an open-ended transformation program. - The proof metric is defined from the buyer's baseline; outcomes are not asserted before measurement. ## Inquiry [Start an inquiry](https://majesticlabs.dev/ai#inquiry) with one routine handoff that required manual chasing or caused a delay in the last 30 days.