ZoomInfo Introduces Agent Teams

ZoomInfo has launched Agent Teams in GTM Studio, giving revenue teams artificial intelligence agents that run complete go-to-market plays.

Agent Teams coordinates teams of agents across companies' systems, signals, and ZoomInfo's intelligence to execute complete GTM motions from signal to action. It is built on the orchestration architecture of DoubleO.ai, which ZoomInfo acquired yesterday.

Agent Teams brings AI-driven workflows to the entire GTM team, for every rep and every account, and covers plays like tracking champions in real time and finding look-alikes of closed-won opportunities, then reaching out to their buying committees with customized messaging.

Agent Teams runs on a real-time evaluation architecture. Specialized agents, each with its own role, instructions, and tools, share context from every prior step and decide the next best action from the current state of the record.

"Revenue doesn't follow a flowchart. Champions change jobs, deals stall, and buyers come back months later," said Henry Schuck, founder and CEO of ZoomInfo, in a statement. "Rigid workflow automation breaks the moment that happens. Agent Teams works from what's actually true about an account right now and keeps the GTM play moving when things change."

When a former champion becomes CRO at a target account, Agent Teams checks whether the new company is already a customer and fits an ideal customer profile, reconstructs the champion's role in the original deal, maps the new buying committee, and drafts outreach grounded in that relationship. When the champion visits the pricing page two weeks later, a website-visit trigger picks the play back up with full context.

For closed-won deals,. Agent Teams reviews the full sales cycle, including call transcripts, emails, and CRM records, to understand why the customer bought. It drafts a case study, finds 10 competitors of the new customer that aren't already customers, and reaches out to each one with tailored messaging backed by the case study.

"Most AI agents exchange outputs, not understanding, so the reasoning behind each step gets lost at every handoff," said Dominik Facher, chief product officer of ZoomInfo, in a statement. "Agent Teams runs on a real-time evaluation architecture where agents share context and build on each other's work, grounded in the richest GTM intelligence available."