Sales and marketing teams have moved quickly from AI copilots to autonomous agents, but many deployments still automate isolated tasks rather than complete revenue workflows. ZoomInfo is attempting to close that gap with Agent Teams, a multi-agent orchestration system that coordinates specialized AI agents across CRM data, company signals and ZoomInfo intelligence to execute complex go-to-market plays from signal to action.

Agent Teams is built on technology from DoubleO.ai, which ZoomInfo acquired immediately before the product announcement. The architecture is designed around teams of specialized agents that share context, evaluate the current state of an account and determine what action should happen next.

That is a meaningful distinction from the growing number of AI assistants embedded in individual sales and marketing applications.

A conventional GTM stack might have one system handling enrichment, another managing CRM records, another running sales engagement and separate tools monitoring intent or website activity. AI can make each component smarter without necessarily connecting the decisions between them.

ZoomInfo's strategy is to make the agents operate across those steps.

The company says Agent Teams is available through GTM Studio, with no additional SKU or contract required. Its examples include monitoring former champions who move between companies, identifying whether their new employer fits an ideal customer profile, reconstructing their previous relationship with the vendor, mapping a new buying committee and preparing personalized outreach.

The system can then resume the play when a new signal appears. In ZoomInfo's example, a later website visit can reactivate the workflow while retaining the context generated during earlier steps.

That persistent context is central to the product's positioning. ZoomInfo argues that many agent systems pass outputs between agents without preserving the reasoning and context behind those outputs. Agent Teams instead uses what it calls a real-time evaluation architecture, with specialized agents sharing information from previous stages before deciding what to do next.

The approach also extends beyond outbound prospecting. ZoomInfo says Agent Teams can analyze closed-won opportunities using sales calls, emails and CRM records to identify why a customer purchased. It can then use those findings to draft a case study, identify similar prospects that are not already customers and create tailored outreach based on the resulting proof point.

That moves the product closer to an agentic revenue operating layer than a conventional sales-assistance tool.

The DoubleO.ai acquisition is important in that context. Rather than adding another point solution to ZoomInfo's existing GTM intelligence platform, the acquisition gives the company orchestration technology that can be embedded directly into its broader data and workflow environment.

The competitive field is already moving in this direction. Salesforce, Microsoft, HubSpot and other enterprise software providers are embedding agents into CRM, marketing and business workflows, while specialist vendors are building autonomous sales-development and revenue agents. ZoomInfo's advantage is its combination of proprietary B2B intelligence, account data and GTM workflows.

The challenge is reliability.

A system that can autonomously move from a buying signal to enrichment, account research, decision-making and outreach has considerably more impact than a chatbot, but it also has more opportunities to make an incorrect decision. Data freshness, permissions, hallucination controls, escalation rules and auditability therefore become product requirements rather than optional governance features.

ZoomInfo says Agent Teams operates on its existing foundation of privacy-rights management, SOC 2 controls, ISO 27001 and ISO 27701-certified systems. That governance layer will be particularly important as AI agents gain permission to act across multiple enterprise systems.

For revenue organizations, the bigger shift is from AI assistance to AI execution. The winning platforms will increasingly be judged not by how well an agent answers a question, but by whether it can complete a multi-step GTM motion reliably, preserve context across systems and know when human intervention is necessary.

Market Landscape

Enterprise GTM technology is moving toward agentic workflows that combine data, decisioning and execution. Recent market activity shows software vendors using acquisitions to accelerate that transition rather than building every AI capability internally. For example, MoEngage acquired Aampe to add AI-driven individual customer decisioning to its engagement platform, while other enterprise vendors have similarly acquired agent technology to extend existing workflows.

ZoomInfo's approach is differentiated by putting its large B2B intelligence dataset directly inside the agent workflow. That creates the potential for agents to act on richer account context, but also increases the importance of data accuracy and governance.

Strategic Outlook

Agent Teams could become strategically important if ZoomInfo can turn its intelligence advantage into a reliable execution layer for revenue teams.

The most valuable use cases are likely to be workflows where multiple signals need to be interpreted before an action occurs: champion movement, account changes, buying intent, website behavior and post-sale customer intelligence.

The bigger test will be whether organizations are comfortable allowing agents to execute those workflows with limited human intervention. For RevOps leaders, reliability, observability and governance may ultimately matter as much as the underlying AI model.

Top Insights

• ZoomInfo is moving beyond individual AI assistants with a multi-agent architecture designed to execute complete, multi-step GTM plays.
• The DoubleO.ai acquisition supplies the orchestration layer, allowing ZoomInfo to connect specialized agents across systems while preserving workflow context.
• Real-time evaluation is central to the architecture, with agents assessing the current account state before determining the next action.
• ZoomInfo is combining agentic execution with proprietary GTM intelligence, potentially giving its agents richer account and buyer context than standalone AI tools.
• Enterprise governance becomes critical as autonomy increases, particularly when agents can research prospects, modify workflows and initiate customer-facing actions.

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