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Sales data quality: why your CRM drifts, and how to keep it rightBad CRM data is rarely one bad record. It is the gap between what happened in the inbox, the calendar, and on calls, and what got typed in later.What is a GTM engineer?The person who turns a revenue team's data and judgment into systems that run every day, and makes sure the team can trust what those systems do.A no-code AI agent builder for GTM teamsDescribe the work in a sentence. Kiwi drafts the agent, its steps, and the checkpoints where a person approves before anything goes out.Stop chasing reps to clean up the CRM. Let it update from the work.Weekly CRM cleanup asks people to retype what already happened. Kiwi drafts the update from the calendar, email, and call notes, and a person approves it.Why text-to-SQL fails on GTM data, and how owning the schema fixes itGenerated SQL rarely errors out. It returns a plausible number from the wrong join. Kiwi owns the schema its queries read, so it can check them before they run.AI for RevOps, sales, and GTM teams: common questionsWhat RevOps, BizOps, sales, and marketing teams ask about AI agents for their GTM data, answered.GTM agents your team can trustBuild AI agents for sales, RevOps, and marketing on one versioned record of your GTM data, with a checkpoint before anything leaves the building.Revenue agents that show their workAI agents for revenue teams that read across your CRM, inbox, calendar, and calls, cite every number, and wait for a person before anything goes out.