Resolves what it can, escalates what it can’t
The Ticket Resolver closes the routine tickets end to end, and when it cannot answer with confidence it escalates with the full context instead of guessing.
New ticket. Deciding first whether this is one I can resolve cleanly or should hand up.
They cannot log in and want a password reset. Account is active and in good standing, so this is a clean self-serve fix.
The help-center article matches their plan exactly, including the SSO note for their setup.
How it works
Triggered by your help desk
The moment a ticket lands in Zendesk or Intercom, the agent reads it and the account behind it. Nothing waits for an agent to work down the queue.
Decides resolve or escalate
It resolves only the tickets it can answer from your help center with confidence. When the cause is ambiguous or the answer is not certain, it escalates instead of guessing.
Closes or hands over cleanly
Routine tickets close with a grounded, cited reply. The rest go up with the account state, the question, and the reason it could not resolve them.
Without Relevance
With Relevance
Routine tickets sit in the queue until a tier-one agent works down to them.
The agent reads and answers the well-understood tickets within minutes of arrival, day or night.
Agents copy-paste macros and hope the canned answer fits the actual question.
The agent reads the account state, confirms the answer applies, and closes the ticket with steps that fit this customer.
A macro fires the same reply whether it is right or not, and the loop starts.
The agent resolves only what it can stand behind, and hands the rest up rather than sending a confident wrong answer.
Only the tickets an agent reaches before end of shift get a same-day answer.
Every routine ticket is triaged the moment it lands, whether it is the first of the morning or the ten-thousandth.
The answer changes with whichever agent picks it up and how their shift is going.
The same help-center-grounded resolution every time, independent of who is on shift.
Pressure to close fast turns into guessed answers that reopen a day later.
When the agent is not sure, it says so and escalates with context, rather than guessing to hit a close rate.
Held to a quality bar, on every run
Every reply is checked against eval test cases written for this exact job before it reaches the customer. If a run fails the bar, it never ships.
Sampling 2% of live runs · 94% passing this week
Shaped by your team, not a template
Experts and engineers tune Ticket Resolver to your playbooks. Every change ships through the same evals.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Build with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Build with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Build with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Build with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Security & data privacy
- Data residency
- PII masking
- Audit logs
- No training on your data
Access & controls
- Role-based access control
- SSO / SAML
- Human-in-the-loop approvals
- Version control
Monitoring & oversight
- Real-time monitoring
- Full agent tracing
- Cost visibility
- OTEL & Delta Share export

"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
Team it up with more customer support agents
- 1Reproduced the issue
- 2Checked open issues
Filed · clean repro
Bug Report Triager
Reproduces reports and files clean engineering bugs.
SLA Watchdog
Reprioritizes the queue before an SLA breaks.
CSAT Responder
Recovers low CSAT scores and surfaces the drivers.
Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the Ticket Resolver to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.


