Break your agent in the Simulator.
Not in production.
No automation should ship on hope. The Agent Simulator replays your agent against your real past conversations, so you see exactly how it would have responded: which intent was detected, which Scenario fired, what actions it would have taken. All before a single customer touches it.Part of the Agent Governance Engine: nothing goes live until your team approves it, and every simulated run is inspectable, decision by decision.Watch it work before customers do
Every demo below is a simulated replay of a historical ticket, not a live customer. This is what your team sees in the Simulator: the conversation, the decisions, and the action the agent would have taken.
Tested before launch. Governed after.
The Simulator is one part of the Agent Governance Engine, the system that makes it safe to give an AI agent real power. What gets tested is what goes live, and what goes live stays accountable.Works with your existing stack
The history you replay already lives in your helpdesk. One click into Zendesk, Front, or Gorgias, and the Simulator runs on the conversations your team has already handled. 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
The Agent Simulator is Aide's test-before-deploy environment. It replays your AI agent against your real historical conversations, so you see exactly how it would have responded: which intent was detected, which Scenario fired, and what actions it would have taken. Nothing goes live until your team approves it.
Your real historical conversations from your helpdesk. Once Aide is connected to Zendesk, Front, or Gorgias, the Simulator runs against the tickets your team has already handled, so the evidence comes from your actual customers and policies, not synthetic test prompts.
The full decision path for each conversation: the intent the agent detected, the Scenario that fired, the conditions it checked, and the action it would have taken. You can inspect any replay decision by decision.
Yes. You can open a test conversation and role-play as a customer: type the messages yourself, probe the edge cases you are worried about, and see how the agent holds up before launch.
Yes. Testing is per intent, and each Scenario is testable in isolation. Change one Scenario and replay just the conversations that match that intent, without touching anything else that already works.
The Scenario goes live along the Gradual Automation Pathway: one intent at a time, starting where you are most confident. You decide exactly what runs on its own, you can change that at any time, and every live action is logged in the Action Trace.
No. Replays are read-only. No customer is contacted, no message is sent, and no action executes. The Simulator shows what the agent would have done, and nothing more, until your team approves it for production.
Get a demo for pricing.
Governance and trust, defined
The vocabulary of testing and trusting AI agents, defined.
See it work on your tickets before customers do
Replay your history, inspect every decision, and deploy on evidence: one approved intent at a time.