How do AI Employees resolve support tickets before a human steps in?
A support AI Employee connected to your product knowledge, your codebase, and your billing system. It triages and resolves inbound threads, and stops for a named human's signature on anything that touches money or account state.
×Support volume grows faster than the team, and the questions that matter most are the ones a canned macro can't answer: "why was I charged twice?", "this button does nothing", "does your API support X?" Each one needs someone who understands the product, can read the code, and can check the customer's account, usually a senior engineer pulled off their own work. A help desk bot handles the easy questions but not these. Hiring scales linearly with tickets. And giving a generic AI assistant real access to production systems is hard to justify in a security review, which is exactly where most "AI support" stops.
Your support inbox is connected to an AI Employee with scoped access to the systems a support issue can touch: your product knowledge, your codebase, and your billing system. Every inbound thread is worked in isolation. It investigates, resolves what it can, and stops at a named human for sensitive actions, escalating with the work already done and the context attached.
See exactly how the work gets done.
Triggers on every thread
A new thread or customer reply starts a fresh, isolated run. One customer, one thread, one run. Nothing is shared between them, and a busy inbox simply means more running in parallel.
Carries your product knowledge
How the product works, your support playbook, the reply tone, and resolutions that worked before travel with the AI Employee as skills and memory, and get sharper as threads are resolved.
Connects to what an issue can touch, with permissions you set
It searches the codebase to find the relevant path for a reported bug and check whether it's already known, looks up plan, invoices, and subscription state to answer billing questions from real account data, and reads and replies in the help desk with full thread context. Credentials stay in memory, never exposed to the model or written to logs.
Read mostly by default
It investigates freely, but writes are scoped. Refunds, plan changes, and anything touching a customer's money or account state pause for a named human's signature.
Resolves, or escalates with the work done
"Why was I charged twice?" becomes a billing lookup with an answer. "This button does nothing" becomes a codebase search that either explains the behavior or files a bug for engineering. When it escalates, it escalates with the diagnosis attached, not a raw ticket.
Runs in your environment
Each thread is worked in isolation inside your own infrastructure. It can reproduce a bug and investigate freely; only the reply it's cleared to send leaves.
Permissions you set
Help desk, billing, and code credentials stay in memory, injected at run time, never exposed to the model or written to logs.
A named human signs off on anything irreversible
Refunds, plan changes, account state edits: every one pauses for a person to approve.
Every action logged, every step reversible
The full investigation and any action taken are recorded, so an escalation arrives with its trail attached.
You own it
The AI Employee's persona, skills, and permissions are yours, versioned and changed on your terms, not in a vendor console.
The investigation heavy tickets that used to pull a senior engineer off their work now arrive resolved, or escalated with the diagnosis already written. Customers get an answer to the actual question, at any hour, and every sensitive action still waits for a person.
24/7
Coverage without a night shift
First touch
Many inbound threads resolved before a human opens them
3 systems
Product knowledge, billing, and the codebase in one AI Employee
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do you turn the same repeat ticket into a KB article?
Clusters resolved tickets for recurring questions with no matching article, drafts the highest value gaps from real resolutions, and opens one pull request a week, never publishing on its own.
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How do you catch the support ticket about to breach SLA?
Scans the open queue every 15 minutes against SLA, VIP status, and severity, routes qualifying tickets to the right team, opens linked issues for engineering, and alerts an escalation channel, closing nothing and messaging no one.
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How do you keep a shared inbox triaged as mail lands?
Reads, labels, and either drafts a reply from the knowledge base or files a task. Customer facing replies land as drafts, held for a named human to send.
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