The week’s tickets, read and made sense of
The Voice of Customer reads the whole week of tickets, groups them into themes with volume and trend, and tells you plainly when a spike is real and when it is one loud account.
Scheduled · weekly synthesis
Voice of CustomerWeekly synthesis. I read everything before I group, so themes come from content, not tags.
Reading the week’s tickets, resolved and open11sAdding the week’s chat conversations5sGrouping by underlying issue, not by the tag agents picked. Three clear themes emerge.
Comparing each theme against last week’s volume4sExport failures are up sharply, billing is flat, onboarding confusion is down since the new guide.
Writing the summary with volume and trend3s
How it works
Scheduled · Monday 7amVolume spike detectedLead: “what’s trending?”End-of-week rollup
Themes written · top 3Volume and trend per themeOne-account spike called outExport theme flagged to productRuns on a weekly schedule
On a set cadence the agent pulls the full week of tickets and chats from Zendesk and Intercom and reads every one.
Groups by issue and tests the trend
It clusters by the real underlying issue rather than the tag, then checks whether each spike is broad or one loud account before it calls anything a trend.
Writes the readout to Notion
The themes land in Notion with volume, trend and linked tickets, and a quiet week is reported as quiet rather than padded.
Without Relevance
With Relevance
A dashboard counts tags into a bar chart nobody can turn into a decision.
The agent reads the actual tickets and reports the themes in plain language, with the volume and the trend behind each.
Tickets are lumped by whatever tag an agent clicked while closing them.
The agent reads the content and groups by the real underlying issue, even when the tags disagree.
Any uptick reads as a trend, so one loud account looks like a wave.
The agent checks whether a spike is broad or one customer, and reports it honestly for what it is.
A manager skims a sample of tickets and extrapolates from the ones they happened to read.
Every ticket and chat in the week is read, so the long tail is not lost to sampling.
Each analyst frames the themes differently, so weeks cannot be compared.
The same method every week, so this week’s themes line up against last week’s.
A quiet week gets padded with manufactured insight to fill the report.
When a week is genuinely quiet, the agent says so plainly instead of inventing a story.
Held to a quality bar, on every run
Every readout is checked against eval test cases written for this exact job before it reaches the team. If a run fails the bar, it never ships.
Voice of CustomerSampling 2% of live runs · 97% passing this week
Shaped by your team, not a template
Experts and engineers tune Voice of Customer 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.
Ticket TriagerBuild 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.
Claude Code
CodexBuild 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
Resolved · CSAT 5Ticket Resolver
Resolves routine tickets, escalates the rest.
Bug reported- 1Reproduced the issue
- 2Checked open issues
- Filed · clean repro
Bug Report Triager
Reproduces reports and files clean engineering bugs.
Breach risk · 2h leftSLA Watchdog
Reprioritizes the queue before an SLA breaks.
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 Voice of Customer 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.