A resolution playbook is a defined set of steps an AI agent or support team follows to resolve a specific type of customer request, from understanding the issue, to gathering the needed context, to taking the action that closes it. It is the repeatable recipe for handling one kind of problem well.
The idea is sound: codify how your best agents resolve a return, a billing question, or a delivery issue, and apply it consistently. The weakness in most implementations is that a playbook is written once and trusted forever, with no built-in way to verify it still behaves correctly as products, policies, and phrasings change.
In Aide, the agentic AI platform for customer experience, the resolution playbook concept is realized as an ASOP (Agentic SOP): an intent-scoped, condition-action automation that applies after the customer's intent is classified and that can be tested in isolation. Each playbook is bound to one intent, so it stays readable and auditable rather than tangled into one global script. (Aide previously used the term resolution playbook internally; the shipped mechanism is the ASOP.)
A playbook is proven before it touches a customer. Every ASOP runs through the Agent Simulator on real historical conversations, and each production execution leaves a step-by-step record with its confidence visible. Because playbooks are intent-scoped and authored in plain language, the team's resolution knowledge stays legible and owned rather than decaying into a black box.
Frequently asked questions
- What is the difference between a resolution playbook and an ASOP?
- They describe the same idea: codified steps for resolving a request. Aide's shipped, intent-scoped, testable version is the ASOP, which is bound to a single classified intent and verified before deployment.
- How do you keep a resolution playbook reliable over time?
- Test it against real conversations whenever it changes, and watch its confidence and step-by-step trace in production. In Aide that verification is routine, not a special project.