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Retail & Commerce

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AI Agent Integrations

Microsoft Ads

AI Agent Integrations

Microsoft Ads

Microsoft Ads is an advertising platform for performance marketing teams, organized around campaigns, ad groups, ads, keywords, and reports. The vendor documentation defines the resource model and required permissions. Tie the signal to a named campaign, audience, report, or owner instead of treating activity as an outcome. Use the Beam catalogue entry as a starting point, then confirm connector actions and event coverage before rollout

The product context: Microsoft Ads

Teams use Microsoft Ads, an advertising platform, to work with campaigns, ad groups, ads, keywords, and reports. The vendor documentation provides the resource model; the workflow still needs a clear owner, a defined decision, and a tested exception path. For Microsoft Advertising, separate campaign configuration from the report or performance signal that needs review

How to frame the handoff

The first build should have a small boundary: one campaign, one owner, and one approved next action. Test the event and field mapping with representative data, then decide whether the connector's permissions are sufficient for a write-back

Two patterns worth testing

  • Use a campaign record is created, updated, or ready for review as a proposed entry point. Pass only the context needed for the decision, record the outcome, and keep an exception route for the responsible performance marketing team owner.

  • A second pattern is to review campaign changes in batches. Confirm filtering, permissions, and the permitted next action before testing it with representative data.

Operational value

  • Less ambiguity about which record starts the process.

  • A handoff that can be reviewed by the person accountable for the result.

  • A deliberate place to stop when permissions or data are incomplete.

Before you build

Check the connector's available read, write, search, notification, and event operations for your Beam workspace. Confirm the vendor authentication method, required scopes, plan limits, and any approval requirements. Treat the two workflow patterns above as designs to validate, not promises of universal coverage.

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Start today

Start building AI agents to automate processes

Join our platform and start building AI agents for various types of automations.