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GTM Agent Weekly

AI agents for BigQuery

4 use cases that work with BigQuery, a data warehouse system.

What can an AI agent do with BigQuery?

BigQuery is a warehouse source for agents that build reports or account context from product and revenue data, typically with read-only access.

Which AI agent use cases work with BigQuery?

4 use cases in this library work with BigQuery, across Sales-Agent Fleet Ops, Deal Review / Forecasting, Prospecting / Outbound. The first ones to look at: Catch silent agent failures with a heartbeat watchdog and weekly scorecard; Stamp each deal with a structured profile and backtest the scoring blind; Research every new lead and hand the rep an approve-or-edit draft in Slack. 2 of them are vendor-neutral reference setups, where BigQuery is one of several interchangeable options. 4 of them include a copy-paste prompt.

Each entry explains what triggers the agent, which systems it reads from and writes to, the steps it follows, what it costs to run and the gotchas people hit. Every entry links to its original source, so you can read the full write-up before you copy a setup into your own BigQuery account.

Browse by category: Sales-Agent Fleet Ops, Deal Review / Forecasting, Prospecting / Outbound.

All BigQuery use cases

Catch silent agent failures with a heartbeat watchdog and weekly scorecard

This watchdog checks that your scheduled sales agents actually ran and produced something, and alerts the owner when one fails or goes quiet. A weekly scorecard shows which agents are unreliable.

Works with any of SlackMicrosoft TeamsGoogle Sheets +2

  • Sales-Agent Fleet Ops
  • intermediate
  • Reference setup

Stamp each deal with a structured profile and backtest the scoring blind

This agent builds a consistent profile of each open deal from calls and CRM data, and first tests whether that profile actually separates past wins from losses. Leaders get a deal score they have checked before trusting it.

Works with any of SalesforceHubSpotGong +6

  • Deal Review / Forecasting
  • advanced
  • Reference setup

Run an always-on research agent across a segment of accounts

This agent keeps researching a whole group of accounts, such as lost deals, and records things like the real reason a deal was lost. Reps stop redoing the same research every time they revisit an account.

Works with ClaySalesforceHubSpot +3

  • Prospecting / Outbound
  • intermediate