Relevance AI
Relevance AI
ZendeskIntercomSlackNotion

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 · password reset
Ticket Resolver

New ticket. Deciding first whether this is one I can resolve cleanly or should hand up.

Reading the ticket and the account record2s

They cannot log in and want a password reset. Account is active and in good standing, so this is a clean self-serve fix.

Pulling the reset steps from the help center3s

The help-center article matches their plan exactly, including the SSO note for their setup.

Sending the reply and marking the ticket solved1s
Resolved and closed. It was a password reset on an active account, so I sent the exact steps from the help center, tailored to their SSO setup, and cited the article. If they reply that it did not work, the ticket reopens and escalates rather than looping them through the same macro.

How it works

New ticket · password resetChat · “how do I export?”Reopened · reply receivedSupport inbox · new email
Ticket resolved · citedAnswer grounded in help centerAmbiguous ticket escalatedFull context attached on handover

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.

Ticket Resolver
92959890

Sampling 2% of live runs · 94% passing this week

Answers are grounded in the help center
96%
Account state is checked before resolving
93%
Uncertain tickets escalate, not guess
87%
Escalations carry full context
91%

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.

AICPASOC 2TYPE II
SOC 2
GDPR
GDPR

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
KPMG
"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

Read more
Autodesk
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."

Allen Roh

Senior Marketing Manager, Autodesk

Read more
Canva
"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

Read more
"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

Read more

Team it up with more customer support agents

SSO login failureOnboardingEngineering

Escalation Manager

Routes hard tickets to the team that owns them.

Reset your password

Knowledge Base Writer

Turns repeated tickets into help-center articles.

Bug reported
  1. 1
    Reproduced the issue
  2. 2
    Checked open issues
  3. Filed · clean repro

Bug Report Triager

Reproduces reports and files clean engineering bugs.

June
MTWTF23456910111213
Breach risk · 2h left

SLA Watchdog

Reprioritizes the queue before an SLA breaks.

14
Low (1-2)
8
Mid (3)
38
High (4-5)
Fix: slow first reply

CSAT Responder

Recovers low CSAT scores and surfaces the drivers.

Tickets
Chats
Ratings
Volume
Weekly themes

Voice of Customer

Synthesizes the week of tickets into clear themes.

Hi Sam, you’re right that the export failed. Here’s the fix and why it happened.

ZendeskIntercom

Reply Drafter

Drafts on-brand replies for an agent to send.

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.