Patchstore24Shopify
The Aide Platform
The agentic AI platform
for customer experience.
Four engines behind every resolution: the intent understood, the context read, the action governed, and the whole system learning from every conversation.Aide is built so a wrong action never reaches a customer. It acts only on what you have approved, only when it is certain, and escalates the rest.The primitives behind governed agentic AI
Customer Intent MapIntent classificationIntent Coverage RateLive customer contextOne-click integrationsAPI & MCP connectionsCustomer Intent MapIntent classificationIntent Coverage RateLive customer contextOne-click integrationsAPI & MCP connectionsCustomer Intent MapIntent classificationIntent Coverage RateLive customer contextOne-click integrationsAPI & MCP connections
ScenariosAgent SimulatorAction TraceConfidence thresholdsGap detectionHuman-in-the-loop assistScenariosAgent SimulatorAction TraceConfidence thresholdsGap detectionHuman-in-the-loop assistScenariosAgent SimulatorAction TraceConfidence thresholdsGap detectionHuman-in-the-loop assist
76%+
AI resolution rate
End-to-end resolution on paths pre-approved by your team
100%
Accurate on what it acts on
Aide acts only when it is certain, and escalates the rest
24h
To first value
One click to connect your helpdesk. No engineering required
Trusted by customers on
Wicked ClothesShopify
Zendesk Marketplace reviewZendesk
The architecture
Four engines. One governed path.
Every conversation moves through the same four engines: understood, grounded, acted on inside approved limits, and fed back into the system.
Customer Intent EngineUnderstands your customers the way your best agent does: trained on your real conversations, not your KB.Customer Context EngineCRM, order, and account data pulled before the conversation starts. Answers fit the account, not the FAQ.Agent Governance EngineEvery action tested, checked, and logged before a customer sees it. When it acts, it is right.Continuous Learning EngineA self-optimizing CX system: every conversation makes the whole operation better, automatically.
Customer Intent Engine
Your helpdesk has tags. Your customers have intents.
Tags are what an agent guessed. Intents are what the customer actually needs. The Customer Intent Engine classifies every conversation from your real conversations, not your knowledge base, so the AI understands your customers the way your best agent does and resolves past where the documentation stops.
Your team finally gets the view they have been trying to build from manual tags for years: every contact reason, organized and measured, from their own data. That is what makes deployment precise. You decide what to automate, intent by intent, based on what your customers actually ask.
The Customer Intent MapA living map of every reason your customers contact you, organized and measured. The view manual tagging never gave you.
Classification with confidenceEvery conversation classified with a confidence score. Your team sets the bar; below it, a person takes the ticket.
Intent Coverage RateHow much of the operation you have deployed and verified. The depth behind a climbing AI Resolution Rate.
Customer Context Engine
AI that knows your customer before the conversation starts.
An AI that only knows your help center caps out fast: it cannot get technical, and it cannot answer for this customer. The Customer Context Engine pulls CRM, order, and account data before the conversation starts, so every response fits the account in front of it.
That is what separates resolving from replying. The AI checks the fulfillment window before promising a change, sees the plan before answering a billing question, and acts on the real record. Deep integrations, not one-way webhooks.
One-click integrationsZendesk, Front, and Gorgias for the helpdesk. Shopify, WooCommerce, and Salesforce for the data. Live in days, not months.
API and MCP connectionsReal integrations, not one-way webhooks. Custom backends connect over API or MCP.
Read before every actionThe live record, read at the moment of the conversation. The AI never acts on stale data.
Agent Governance Engine
AI you can trust at every interaction.
Most AI in CX deploys as a big switch: turn it on, hope it works, deal with the fallout. Aide deploys the way your team would. One intent at a time, each Scenario tested in the Agent Simulator and approved before a customer sees it. Your team controls the scope at every step.
In production, the AI acts only when it is certain and escalates everything else. So what it handles, it gets right: 100% on what it acts on, because governed. And nobody is watching a black box. Every decision is visible through the Action Trace, defensible in the security and privacy review your rollout has to clear.
Agent SimulatorKnow your AI works before your customers find out it doesn't. Test every Scenario on your real past conversations.
ScenariosEvery intent gets its own Scenario: conditions, actions, confidence gates. Your team builds it, tests it, approves it.
Action TraceNever wonder what the AI did or why. Every classification, action, and outcome on the record.
Continuous Learning Engine
The AI you grow into, not the AI you outgrow.
You have watched vendors cap out: the AI answers what the knowledge base covers, stops improving, and eighteen months later you are shopping again. Aide is built to compound instead. The Continuous Learning Engine turns every conversation into continuous learning: coverage widens, resolutions sharpen, and month six is measurably better than month one, on its own.
And the team gets stronger with it, not smaller. Your team builds each Scenario, sees every decision, and their corrections train the system, so product mastery grows instead of atrophying. Volume drops and the team gets stronger. That is the destination.
Gap detectionNew patterns surface automatically: the intent without coverage, the knowledge that went stale, the Scenario that keeps escalating.
Suggested improvementsThe next intent to automate, the article to fix, the threshold to revisit. Ranked, so your team spends effort where it counts.
Corrections fed backEvery correction your team makes trains the system. The operation improves without extra effort.
The Gradual Automation Pathway
Adopt at your pace. Automate on proof.
No team should flip a switch and hope. On Aide, you start with a human in the loop: drafts and context inside the helpdesk your team already uses, reviewed and sent by a person. You watch the Agent Simulator run your real past conversations. And when an intent has proven itself, you promote it to full automation, one intent at a time.
That is the pathway from assist to agentic resolution: trust built on evidence at every step, with your team deciding when each step happens.
Getting started
Works with your existing stack
The platform runs inside the helpdesk you already use and connects to 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
Aide is the agentic AI platform for customer experience. Four engines work together on every conversation: the Customer Intent Engine classifies it, the Customer Context Engine grounds it in your live business data, the Agent Governance Engine acts only inside paths your team approved and tested, and the Continuous Learning Engine feeds what happened back into the system.
It is the engine that governs what ships and what runs. Every automation is tested in the Agent Simulator before deploy, runs behind a confidence threshold your team sets, executes only when every condition is met, and stays auditable after the fact through the Action Trace. It is what makes it safe to give an AI agent real power.
A knowledge-base-bound bot can only answer what is documented. Aide learns what your customers actually ask from your real conversations, so it reaches the long tail a retrieval bot cannot. Just as important, intent is the unit of governance: your team decides what to automate, measures coverage, and audits behavior per intent, not per prompt.
Scenarios are Aide's resolution paths: intent-scoped, condition-action automations applied after classification. Each one is testable in isolation and auditable per intent, rather than one monolithic agent behavior you have to trust wholesale.
One-click integrations cover Zendesk, Front, and Gorgias for the helpdesk, plus Shopify, WooCommerce, and Salesforce for commerce and CRM data. Custom backend systems connect via API or MCP, so the Customer Context Engine reads from the systems your business actually runs on.
The Continuous Learning Engine monitors live conversations, identifies gaps in your configuration and knowledge, and suggests improvements. Your team's corrections feed back into the system, so month six is measurably better than month one without anyone rebuilding it.
On the Gradual Automation Pathway. Start with a human in the loop: drafts and context inside your helpdesk, reviewed by your team. Test in the Agent Simulator on your real past conversations. Then promote intents to full automation one at a time, on evidence, at your pace.
Get a demo for pricing.
See the platform on your own conversations
Connect your helpdesk, watch the Agent Simulator work on your real tickets, and deploy one intent at a time.