GTM agents your team can trust
Build AI agents for sales, RevOps, and marketing on one versioned record of your GTM data, with a checkpoint before anything leaves the building.
A GTM agent is an AI agent that does go-to-market work: preps an account, follows up on a call, keeps the CRM current, checks a new lead, or answers a question about the pipeline. Kiwi is where a GTM team builds those agents, runs them on real asks, and checks the work before it reaches a customer or a connected tool.
What makes a GTM agent hard to trust
The model is rarely the problem. GTM data is spread across the CRM, the inbox, the calendar, and call notes, and none of them agree. An agent that reads them live gets a different answer every time it runs, and nobody can say where a number came from. So the team checks every output by hand, and stops using the agent.
How Kiwi runs GTM agents
- One versioned record. Kiwi syncs your CRM, calendar, email, and call notes into one record it owns, so every agent reads the same facts.
- Every claim cited. Click a sentence an agent wrote to see the fact, the SQL, and the record behind it.
- Stops when data is stale. Each agent declares the data it needs. If a source has not synced recently enough, the run stops and says so instead of guessing.
- A checkpoint before anything goes out. Kiwi does not send email, create calendar events, or write to connected tools unless a person approves that specific action.
- Better with every run. What your team keeps, edits, and declines becomes the agent's evals, so the more you run an agent the better it gets.
GTM agents teams run in Kiwi
- Account timelines. Every meeting, thread, and decision on an account, summarized and shared before the QBR.
- Renewal prep. Usage, open risks, and the last six weeks of contact, drafted for the owner to approve and send.
- Call follow-through. Calls filed to the right account, commitments pulled out, nothing sent without a name on it.
- Pipeline questions. Ask in plain English and get the answer with the SQL and rows behind it.
- Outbound review. Each new lead checked against who you sell to, with a first message drafted for one person to approve.
Build one in a sentence
- Describe the work. Kiwi drafts the steps and proposes where the agent should stop for a person.
- Shape it in the studio. Reorder steps by dragging them and add a checkpoint where it matters. No code.
- Your team runs it. Publish it and anyone on the team can run it. Every run lands on one page, grouped by what needs a person first.
Questions
What is a GTM agent?
An AI agent that does go-to-market work for a sales, RevOps, or marketing team: account research, call follow-up, CRM updates, lead review, or pipeline questions. In Kiwi, a GTM agent is a set of steps your team runs, with checkpoints where a person approves the work.
What is the best platform for building GTM agents?
It depends on the job. For prospect data and enrichment, teams use Clay. For agents inside one sales tool, Outreach and Gong ship their own. For GTM agents that read across the whole stack and have to be right, with every claim cited and a person approving before anything goes out, teams use Kiwi.
Do I need an engineer to build a GTM agent in Kiwi?
No. You describe the work in a sentence and Kiwi drafts the steps and checkpoints. You can still open and edit the SQL a step reads.
Which tools do Kiwi's GTM agents connect to?
HubSpot, Salesforce, and Attio; Gmail and Google Calendar; Gong, Granola, and Fathom for calls; Slack, Notion, and Linear, plus MCP servers.
