Revenue intelligence platform Gong has unveiled Mission Big Dipper, a product release that introduces an agentic execution layer the company calls the Gong Revenue Harness. Announced on June 24, 2026, the launch represents Gong’s clearest statement yet that the future of revenue operations lies not in dashboards or static insights, but in governed AI agents that act autonomously across the entire sales cycle.

What the Revenue Harness Actually Does

The Revenue Harness sits atop Gong’s existing AI OS and serves as the orchestration and governance layer for AI agents operating inside the revenue workflow. Rather than treating agents as isolated features, the Harness connects them to a unified data fabric, applies enterprise-grade access controls, and maintains a full audit trail of every automated action.

The result is a system where multiple AI agents can operate simultaneously across pipeline management, deal progression, and post-sale motions while remaining accountable to the same security permissions that govern human users today.

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Custom Agents: Natural Language Workflow Creation

The headline capability within Mission Big Dipper is Custom Agents. For the first time, RevOps leaders and frontline sales managers can describe a workflow in plain language inside Gong and have it materialize as a governed AI agent. No engineering support is required.

Consider the practical applications. A VP of Sales can instruct Gong to monitor every account above 100,000 dollars for specific risk signals and alert the assigned account executive before Monday morning. A RevOps leader can build an agent that flags stalled pipeline when engagement drops below a threshold for five consecutive business days. These workflows previously required custom integrations or data engineering resources that most revenue teams simply did not have.

Eilon Reshef, Gong’s CPO and co-founder, framed the problem directly: every revenue leader now has access to AI, but almost none are generating measurable outcomes because the systems lack sufficient context and enterprise governance to act independently.

The Governance Layer as Competitive Moat

What separates the Revenue Harness from the growing universe of agent-building tools is its inheritance model. Every Custom Agent inherits the security permissions already configured across the Gong deployment. Data access is scoped, actions are auditable, and human oversight remains configurable at the agent level.

This matters because the objection most revenue leaders raise about autonomous agents is not capability. It is trust. The Revenue Harness positions Gong to answer that objection structurally rather than through marketing language alone.

Expanded Platform Capabilities

Beyond Custom Agents, Mission Big Dipper includes several additions to the broader platform:

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  • AI Builder in Gong Assistant allows users to extend the conversational AI layer with custom retrieval and action capabilities.
  • Gong Assistant in Account Console brings the AI layer directly into account-level workflows, expected to ship in July 2026.
  • Dry Run offers AI-powered role-play rehearsals for upcoming customer interactions, also arriving in July.
  • AI Coach delivers post-session guidance automatically after meetings.
  • AI Builder for Scorecards enables managers to create AI-assisted evaluation criteria for rep performance.

Enterprise Validation

Karine Terzibachi, Chief Business Officer at Attentive, noted that the AI-powered intelligence embedded in workflows enables faster decision-making and easier distribution of best practices across the organization. Grainne Wafer, Global Head of Field and Partner Enablement at Udemy, pointed to the simplification of how teams access information and take action at scale.

Both perspectives underscore the same thesis: the value is not in the intelligence itself, but in removing the friction between insight and execution.

Market Positioning

Gong now serves more than 5,000 companies globally and crossed the 500 million dollar ARR mark earlier in 2026. Mission Big Dipper positions the company to compete not just with conversation intelligence vendors, but with the broader category of revenue orchestration platforms including the recently merged Clari-Salesloft entity and Salesforce’s own Agentforce ecosystem.

The strategic bet is straightforward: the platform that controls agent governance controls the revenue stack. Gong is placing that bet with Custom Agents generally available now and a pipeline of agent capabilities shipping through the second half of 2026.

Related: Gong expanding beyond conversation intelligence with Mission Andromeda | Gong’s Orchestrate platform with 18 AI agents