Playbooks & Examples

Before, after and what to watch.

These examples show how AI can support practical work when the workflow, owner, signal, data, control and outcome are clear.

Admin

Inbox overload

Before: requests buried in email.
After: tasks, owners and follow-up queue.
Control: human reviews sensitive items.

Finance

Invoice processing

Before: manual extraction and chasing approvals.
After: structured fields, checks and reminders.
Control: finance approval remains human.

Compliance

Evidence gaps

Before: missing documents found late.
After: due dates, evidence checks and escalation.
Control: compliance owner signs off.

Note: Examples are educational only. Actual results depend on user inputs, workflow complexity, data quality, systems, team capability and specific circumstances.

KAOS 6 reminder

AI is OK when these six answers are clear.

Workflow

What exactly are we improving?

Owner

Who is accountable?

Signal

What causes something to happen?

Data

What information can we trust?

Control

Where must a human remain involved?

Outcome

What measurable result should change?