Worked examples

See the method before the meeting.

Each example starts with ordinary business friction and shows the inputs, AI steps, human judgment, output, and checks that make the workflow reusable.

Example library

Three recurring management workflows.

The work is different, but the logic is consistent: define the audience and quality bar, map the workflow, assign AI a specific role, and verify what matters.

Project delivery

Project update workflow

Turn status notes, milestones, decisions, and risk inputs into a concise leadership update without losing ownership or context.

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Meeting follow-up

Meeting to action workflow

Convert rough notes into confirmed decisions, owners, deadlines, open questions, and audience-specific follow-up.

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Leadership communication

Executive update workflow

Shape detailed operating inputs into a short, decision-ready update that separates signal, risk, and requested action.

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What to notice

AI is one step in the operating system.

The examples do not begin with a prompt. They begin with the work: what comes in, what the audience needs, where judgment is required, and how the final output will be checked.

Inputs are intentional

Only approved, relevant material enters the workflow.

Judgment is assigned

A responsible person owns decisions, risk language, and the final quality bar.

Checks are built in

Facts, numbers, dates, owners, and omissions are reviewed before the output is shared.

Have a similar workflow?

Bring the real version to a fit call and decide whether it is ready for a working session.

See if it fits