The customer-facing AI agent that resolves conversations end-to-end
Aide reads the customer's account, executes the procedure your team approved, and closes the loop in your systems: helpdesk, commerce platform, and CRM. Resolution means the customer service was excellent, not that they were contained or deflected.Powered by the Agent Governance Engine. AI you can trust at every interaction: every action tested, checked, and logged before a customer sees it. Aide acts only when it is certain, and escalates the rest to your team.What counts toward your AI Resolution Rate
A deflected customer is a customer who gave up. A resolved conversation is one Aide closed end to end: the account read, the action executed in your systems, the outcome confirmed. Only those count toward your AI Resolution Rate. These are the conversations Aide resolves on its own.
Confidence, not risk
Most AI in CX deploys as a big switch: turn it on, hope it works, deal with the fallout. Aide is built the other way. An agent that acts in your systems has to earn that access, and the Agent Governance Engine is how a wrong action never reaches a customer.Works with your existing stack
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
A conversation is resolved when the customer's actual request is completed end to end: the question answered from live data, the action executed in your systems, and the loop closed, with no human touch needed. A customer who gives up and goes away is not a resolution, which is why Aide measures AI Resolution Rate, not deflection rate.
A deflection bot points customers at articles and hopes they stop writing in, and it caps out at whatever the knowledge base contains. Aide does the work: the Customer Intent Engine is trained on your real conversations, not your KB, so it understands the request, and then Aide reads the live order or account, executes the change in your systems, and confirms the outcome. Answering questions is table stakes. Acting on the request is the difference.
Aide executes the actions your team approves: cancelling orders, updating shipping addresses, putting orders on hold, applying refunds within policy, tagging and routing tickets, and updating CRM records. Each action runs inside a Scenario your team defined, tested on your real conversations in the Agent Simulator before it goes live.
It does not guess. When a conversation falls outside a Scenario your team approved, or the Agent Governance Engine's confidence bar is not met, Aide escalates to a person with the customer context, account data, and its own findings already attached. Your team gets the conversation with the work started, not a cold handoff.
Teams on Aide reach 76%+ AI resolution on the paths they have pre-approved. The paired number matters just as much: 100% accurate on what it acts on, because governed. The Agent Governance Engine lets Aide act only when it is certain and escalates the rest, so every resolution it claims is a real one.
Most boards reduce AI in CX to cost per ticket. That is the wrong number, and it rewards shallow resolutions. The number that carries the room is AI Resolution Rate: what share of customer conversations does the AI actually resolve, end to end. Pair it with the trust line: what it handles, it gets right, because it only acts when it is certain. Every claim in that narrative is backed by the Action Trace. Defensible decisions, not survey scores.
No. The queue is not the goal, fewer tickets is the goal. As Aide resolves more, your team moves upstream: they tune Scenarios, review the Action Trace, and feed what the AI surfaces back into the product so the same ticket stops arriving. Volume drops and the team gets stronger.
Most AI in CX has a ceiling built in: once the knowledge base is exhausted, so is the AI, and the buyer ends up running a displacement project. Aide is built without that ceiling. The Customer Intent Engine is trained on your real conversations, not your KB, so coverage widens as your operation grows, and the Continuous Learning Engine makes month six measurably better than month one, without anyone rebuilding it.
Aide runs inside Zendesk, Front, and Gorgias, and the Customer Context Engine connects Shopify, WooCommerce, and Salesforce: deep integrations, not one-way webhooks. Custom backend systems connect via API, so Aide can read and act on the data your business actually runs on.
In days, not months. Most teams connect their helpdesk in a day and see first value within 24 hours. You start with your highest-volume intent, watch it work in the Agent Simulator, and expand at your pace.
Get a demo for pricing.
Resolution, measured properly
The metrics and operations vocabulary behind agentic resolution, defined.
The most capable customer agent you can actually trust
AI your team deploys, intent by intent. End-to-end resolution in the helpdesk you already run, governed by the rules you set.