A no-code AI agent builder for GTM teams

Your best rep has a way of prepping an account, following up on a call, and keeping the CRM current. Today it lives in their head. In Kiwi it becomes an agent the whole team runs, without waiting on an engineering backlog.

How it works

1. Describe the work. In plain words: who it is for, what it reads, and what it should produce.
2. Kiwi drafts the agent. Each step is an agent action over your connected tools, and every step that writes or sends stops at a checkpoint first.
3. Review, then publish. A review pass shows the connections each step needs and where it reads and writes, before the agent reaches the team's shelf.
4. Run it on real asks. Anyone on the team starts a run. At each checkpoint a person continues, gives feedback and the step is redone, or ends the run.

Why GTM teams stop using the agents they build

Building the agent is the easy part. Teams abandon agents when the same question gets two answers, or nobody can say where a number came from. Kiwi builds every agent on data it can stand behind:

• One versioned record. Your CRM, calendar, email, and call notes, synced into one record Kiwi owns.
• A fixed snapshot per run. The same agent at the same moment reads the same data, so any run can be replayed.
• Every claim traced. Click a sentence the agent wrote to see the fact, the SQL, and the record behind it.
• Better every week. What your team keeps, edits, and declines becomes the agent's evals. A proposed update ships only when it scores at least as well on your own past runs.

Agents GTM teams run in Kiwi

• Prep a brief before every customer call, from the calendar, the CRM, and past call notes.
• Draft the follow-up after a call, and log the approved note to HubSpot.
• Check new leads against who you sell to and draft the first message.
• Answer a question about the pipeline in plain English, with the SQL and rows behind it.