E-mployee Operating Model

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. It turns the leadership instruments from Dr. Jonah Tebaa's book The E-mployee Operating Model into step-by-step workflows. Use it to: • Audit whether an AI rollout is producing accountable work or only activity • Test whether a proposed agent qualifies as an E-mployee role: include, defer or exclude • Check whether leaders have the five capacities needed to direct AI work • Design an AI initiative outcome-first, before choosing a tool • Choose the first AI role to commission with the Opportunity Matrix • Write and approve a 13-field E-mployee Role Charter • Grant, limit and revoke action powers with an Authority Matrix • Build a Value Ledger that counts review effort, risk and distribution, not just time saved • Decide whether a role is promoted, held or demoted on the Autonomy Ladder • Classify risk and set proportionate controls • Map accountability and run an incident review when AI output is wrong • Redesign the human organization chart and review a portfolio of AI roles • Plan a gated 90-day roadmap for a first role Each workflow produces a concrete artifact (a table, a verdict and a list of gaps) that a leadership team can take into a decision meeting. It asks only for what it needs and marks unknowns as missing rather than guessing. Intended for CEOs, executives, operations and transformation leaders, and managers who direct AI agents. The instruments are author-created management tools. They are not legal advice, a compliance certification or a guarantee, and the workflows flag where legal, privacy, security or labor specialists must review.