Design work for AI e-mployees
Business management workflows for leaders who put AI agents to work in their organization. E-mployee Operating Model helps you decide which AI work deserves a defined role, then design how that work is directed, governed, measured and owned. More
Skills 15 in the ChatGPT listing
Ai access audit Run the access audit from The E-mployee Operating Model on an AI rollout or initiative and decide whether it should scale, change, pause or stop. Ai incident response Map who authorized, supervised, inspected, released, can explain and will remediate an AI result, and run the nine-step incident sequence from The E-mployee Operating Model. Authority matrix Draft or review an Authority Matrix that sets which of seven action powers an AI role holds, with thresholds, review, escalation, expiry and revocation, from The E-mployee Operating Model. Autonomy review Run a periodic E-mployee performance review with the ten-dimension scorecard and the Autonomy Ladder, ending in a promote, hold, demote, retrain/redesign or retire decision, from The E-mployee Operating Model. E mployee inclusion test Classify a proposed AI system or agent with the E-mployee inclusion test from The E-mployee Operating Model and decide whether to include, defer or exclude it as an E-mployee role. E mployer capability audit Audit whether a team or organization can direct AI work, using the five capacities of the E-mployee Doctrine from The E-mployee Operating Model, and list the missing work. First role selection Compare candidate AI roles with the Opportunity Matrix, nine selection factors and the rejection test, then draft a board-ready first-role decision, from The E-mployee Operating Model. Get started Orient a new user to the E-mployee Operating Model workflows and route them to the right one. Human ai org chart Draw a Human + AI Organization Chart and a Role Redesign Canvas showing who directs, reviews, can stop and can retire each AI role, and what changes for the people around it. Ninety day roadmap Build a 90-Day E-mployer Roadmap that moves one bounded AI role through six evidence and decision gates to a go, revise, pause, stop, retire or refuse decision. Outcome first design Design an AI use outcome-first with The E-mployee Operating Model and produce a one-page outcome brief, or decide whether a technology-first AI pilot should be deferred. Portfolio review Review a portfolio of AI agents against the E-mployee Maturity Curve, the role registry, dependencies and review capacity, and decide what to scale, narrow, hold, pause or retire. Risk classification Rate an AI use on stakes, reversibility, rights/data exposure and blast radius, set its Low, Elevated or High control tier, and test whether its controls have owners and actually work. Role charter Write or review an E-mployee Role Charter, the 13-field operating specification for a standing AI role, from The E-mployee Operating Model. Value ledger Build or review the nine-field Value Ledger for an AI role and reach a go, revise, pause or retire decision, from The E-mployee Operating Model. 
Tavily#179