On-brand replies, drafted for a human to send
The Reply Drafter writes the reply your agent would, grounded in the help center and your tone, and when the honest answer is no it drafts a kind, truthful refusal.
Ticket assigned · export question
Reply DrafterThis ticket needs a reply. I draft for the agent to review, grounded in what we actually document.
Reading the ticket and the account context3sThey want to schedule recurring exports and cannot find the option.
Finding the scheduled-export steps in the help center3sThe feature exists on their plan, under Settings. I can write specific steps rather than a vague pointer.
Placing the draft for the agent to review1s
How it works
Ticket assigned · needs replyNew chat awaiting replySupport email received
Agent: “draft a reply”
Draft placed for reviewEvery claim cited to the docsDe-escalating tone chosenHonest refusal, not a false yesTriggered when a ticket needs a reply
When a ticket is assigned or lands in the queue, the Reply Drafter reads it and the account behind it and starts a draft.
Grounds and judges the tone
It writes only from the help center, picks the de-escalating tone when a customer is angry, and drafts an honest refusal when the real answer is no rather than a false promise.
Places a draft, never sends
The reply waits in Zendesk or Intercom for a human to edit and send, with every claim cited so the agent can trust it at a glance.
Without Relevance
With Relevance
Agents assemble replies from macros that rarely fit the actual question.
The agent drafts a reply written for this ticket, in your tone, ready for a human to review and send.
A generative reply confidently invents steps that are not in the docs.
Every claim in the draft is grounded in the help center, and the agent will not write a step it cannot cite.
A rushed reply to an angry customer matches their heat and escalates the thread.
The agent picks the de-escalating tone, acknowledges the frustration, and cites the policy that applies.
Only the tickets an agent reaches get a considered reply. The rest wait or get a one-liner.
Every assigned ticket gets a considered draft waiting, so the agent edits and sends rather than starts cold.
Voice and accuracy swing with whichever agent is typing and how their day is going.
The same brand voice and the same grounding on every draft, whoever picks up the ticket.
Under pressure to please, a reply implies a yes the product cannot back up.
When the honest answer is no, the agent drafts a truthful, kind refusal instead of a false promise.
Held to a quality bar, on every run
Every draft is checked against eval test cases written for this exact job before an agent sees it. If a run fails the bar, it never ships.
Reply DrafterSampling 2% of live runs · 94% passing this week
Shaped by your team, not a template
Experts and engineers tune Reply Drafter 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 Reply Drafter 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.