The next generation of SOPs,
built for AI agents to execute.
An Agentic SOP (ASOP) is one intent's procedure, written for an AI agent to execute: the conditions to check, the actions allowed, and the confidence gate to clear, tested on your real conversations before it goes live, and auditable per intent.One intent. One procedure. Fully governed.
A standard SOP was written for a person to follow, and it relies on judgment to fill the gaps. An Agentic SOP is written for an AI agent to execute, so nothing is left to judgment: the intent, the conditions, the actions, and the gate are all explicit. Here is each part, shown in a real conversation.
Governance built into every ASOP
Because every ASOP is scoped to one intent, governance is per intent too. The Agent Governance Engine enforces each procedure exactly as your team wrote and approved it.Works with your existing stack
An ASOP's conditions read live data where it lives, and its actions execute in the systems you already run. One click into your helpdesk, direct actions in your systems of record. No migration, no replatforming, no engineering.
Resolves and updates tickets inside your existing workflows.
Closes conversations end to end, right in the shared inbox.
Automates the macros and rules your team already relies on.
Reads live orders and executes changes, holds, and refunds.
Order data and actions, handled natively on your store.
Grounds every answer in the customer record you trust.
Frequently asked questions
Agentic SOPs (ASOPs) are the next generation of SOPs, built for AI agents to execute. Each one binds automation to a single classified customer intent and carries the conditions to check, the actions allowed, and the confidence gate to clear. An ASOP must pass a test on your real historical conversations before it goes live, and every action it takes stays auditable per intent.
A regular SOP is written for a person to follow: prose steps that rely on judgment to interpret. An Agentic SOP is written for an AI agent to execute: explicit conditions verified against live data, an explicit list of allowed actions, and a confidence gate. A person reads an SOP and decides. An agent runs an ASOP and either clears every gate or escalates to a person.
A monolithic instruction set describes agent behavior in aggregate. It is flexible, but no single behavior can be tested in isolation, coverage is not measurable, and when something breaks the whole instruction set is suspect. ASOPs cut the problem per intent: each one is tested on its own, coverage is measurable intent by intent, and a failure isolates to one procedure you can fix, retest, and redeploy. The difference is governance and scoping, not expressiveness.
Scenarios are how you build ASOPs in Aide. Agentic SOPs are the concept: intent-scoped, test-gated procedures written for AI agents to execute. A Scenario is one ASOP in the product, with conditions your team sets and actions your team allows, run under the Agent Governance Engine, tested in the Agent Simulator, and logged in the Action Trace.
It has to clear a test gate. The Agent Simulator replays the ASOP against your real historical conversations for its intent, so your team sees exactly how it would have handled each one: the conditions checked, the action it would have taken, and the reply it would have sent. No ASOP deploys before your team has watched it work and approved it.
Yes. The Action Trace records every run: the intent detected, the conditions checked, the confidence at the moment of the decision, and the action taken. Because every automation is scoped to one intent, you can audit one ASOP's runs without wading through everything else the system did.
One intent at a time. Start small. Prove it works. Expand from there. Most teams write an ASOP for their highest-volume intent first and see first value within 24 hours. Each new ASOP goes live only after it clears its test gate, and you can change what runs on its own at any time.
Get a demo for pricing.
Procedures and deployment, defined
The vocabulary of agentic procedures, defined.
- Agent operating procedure (AOP)
- Agentic SOP (ASOP)
- AI agent action
- AI agent workflow
- Business logic for AI agents
- CX workflow automation
- Decision tree vs agentic procedure
- Deterministic vs probabilistic agent execution
- Intent-scoped deployment
- Natural-language workflow authoring
- Resolution playbook
- SOP for AI agents
Write the procedure once. Govern it forever.
Intent-scoped automation your team tests before it ships, deploys one ASOP at a time, and audits on every action.