EXECUTIVE ASSISTANT AI

AI Workflows for Executive Assistants

Use generative AI as a drafting, organizing, and reasoning aid inside a controlled executive-support workflow—without handing it authority it has not earned.

A controlled working sequence

The book's operating model puts evidence, checking, and human authority around the AI step rather than treating a fluent draft as finished work.

Classify

Define the job, consequence, permitted information, and approved environment before material enters the model.

Source

Name the calendar, notes, register, document, policy, or current source that acts as factual authority for the task.

Brief

State the purpose, audience, sources, task, constraints, and output so the model has a bounded transformation to perform.

Check

Verify the failure that matters: dates, decisions, calculations, claims, omissions, disclosure, or commitments.

Approve

Keep decisions, commitments, sending, booking, purchasing, and release with the named human or deliberately authorized process.

Improve

Record recurring corrections, update the workflow specification, and only expand automation after the lower-authority process is stable.

FREE PRACTICAL GUIDES

Start with one executive-support workflow

These guides focus on the controls that make AI useful in real EA work: a repeatable workflow, information boundaries, meeting follow-up, executive communication, and staged automation.

THE COMPLETE BOOK

The AI Workflow Playbook for Executive Assistants

The book develops the five-stage INPUT → AI TASK → CHECK → HUMAN DECISION → RELEASE model across executive-support work, then adds implementation labs, a failure playbook, reusable governance controls, a thirty-day operating system, a ninety-day maturity roadmap, workflow cards, and release checklists.

Explore the book

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