๐ŸงฐAI Playbooks & Actions

Resolution, Not Just Response

Teach the AI your actual procedures โ€” refund rules, cancellation flows, replacement policies โ€” as versioned playbooks. It follows them, proposes structured actions like refunds for one-click approval, and can fix account issues directly within hard safety limits.

1-click
Action Approval
85%
Act Confidence Floor
100%
Actions Logged

Why Teams Love AI Playbooks & Actions

Your Policies, Enforced

Playbooks encode your exact procedures, so AI answers match how your business actually works โ€” not a generic best guess.

One-Click Approvals

Refunds, cancellations, and order changes arrive as structured, pre-validated actions. A human approves in one click; nothing is buried in prose.

Fixes, Not Just Explanations

For verified account issues, the AI can repair the customer's data or settings, confirm the fix took effect, and then say so.

Auditable by Design

Every proposed and executed action is typed and logged with its evidence. Nothing happens off the record.

What You Can Do

๐Ÿ“–

Versioned Playbooks

Procedures written in plain markdown and maintained like code. The right playbook attaches automatically from structured ticket data.

โœ…

Typed Action Proposals

Refunds, order changes, and cancellations proposed as structured actions with the math already checked, awaiting human approval.

๐Ÿ”ง

Act-and-Reply

At 85%+ confidence the AI can fix issues on the requester's own account โ€” never money movement, deletion, or anything irreversible.

๐Ÿ”’

Verified Before Promised

The AI confirms a fix actually took effect before telling the customer it's done.

Common Use Cases

Refund requests under policy
Subscription cancellations
Order changes and address fixes
Account and data repairs
Policy-bound warranty decisions

Frequently Asked Questions

Can the AI move money on its own?

Almost never. Refunds and order changes are structured proposals a human approves with one click. Auto-execution is limited to a narrow set of pre-verified, fully-funded operations you explicitly enable โ€” each with preflight checks and a full audit trail.

How do I teach it our procedures?

Write playbooks in plain markdown โ€” your refund policy, your cancellation flow, your escalation rules. They're versioned like code and attached to tickets automatically based on structured data, never keyword guessing.

What stops it from doing something destructive?

Hard limits: it can only act on the requester's own account, never delete data, never take irreversible actions, and every action is logged. Anything outside those bounds becomes a proposal for a human.

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