Story · Sait Izmit (Snowflake)
Building GTM AI Agents: Lessons from Deploying to 6,000 Users (Sait Izmit (Snowflake))
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Sait Izmit wrote 150 questions from Snowflake's sales process before trying the agent, scored 50 percent on the first run, and set the rule that governed everything after: answer 50 questions at 95 percent rather than 100 at 70. The assistant now serves about 6,000 go-to-market users at roughly 40,000 questions a week, and around 60 percent of its data arrived after launch.
In plain words
- Snowflake deployed an artificial intelligence assistant that now answers roughly 40,000 weekly questions for about 6,000 sales-related users.
- Before launch, Sait Izmit tested it against 150 questions drawn directly from Snowflake's sales work.
- The team favored answering 50 questions at 95 percent accuracy over covering 100 questions at 70 percent.
- They expanded access in stages, requiring continued use from more than 70 percent of a 600-person test group.
- The experience suggests teams need reliable answers and active internal promotion, because useful workplace tools can still struggle to attract users.
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Aug 28, 2026 · in the sections
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