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Gong Unveils Mission Big Dipper: Revolutionizing Enterprise Revenue AI

On June 24, 2026, in San Francisco, Gong, a leader in revenue AI, announced the launch of Mission Big Dipper, representing a significant advancement in their product offerings. This initiative unveils a groundbreaking agentic execution layer that enhances the Gong Revenue AI Operating System (AI OS). The purpose of this new system is to address the challenges associated with early enterprise AI deployments. Many existing products fail in real-world applications due to their inability to incorporate essential revenue context, governance, and human oversight.

The Gong Revenue Harness: A Game-Changer

At the heart of Mission Big Dipper is the Gong Revenue Harness. This innovative tool enhances Gong’s previous investments in Agent Studio and the Model Context Protocol (MCP). It serves as a new agentic execution layer responsible for overseeing, coordinating, and linking AI agents throughout the entire revenue cycle. The standout feature is the Custom Agents capability, which empowers RevOps leaders and sales managers to create and deploy managed AI agents without needing engineering resources. In addition, Mission Big Dipper enhances Gong Assistant and Gong Enable, facilitating seamless transitions from insights to actionable outcomes.

Eilon Reshef, Gong’s Chief Product Officer and Co-Founder, highlighted the gap that exists in the current AI landscape, stating, "Every revenue leader has AI. Almost none of them are moving the number with it." The Gong Revenue Harness aims to equip agents with the contextual knowledge necessary to analyze real customer conversations. This includes permission models for revenue teams and structured templates derived from the company's actual successes. These smart agents keep tabs on all deals, direct tasks appropriately, and provide feedback to continuously improve the system’s intelligence.

Addressing Revenue Work Patterns with AI

Despite their understanding of winning strategies, revenue teams often struggle with key activities like account research and stalled deal analyses, which aren't consistently executed. Traditional CRM-based solutions tend to overlook vital conversational cues that influence revenue, while DIY agent builders frequently lack governance mechanisms. The introduction of Custom Agents addresses these issues, allowing stakeholders to delineate workflows using straightforward language within Gong. For instance, a user can instruct the system to monitor high-value accounts for specific risks and notify the Account Executive accordingly.

Operating on the Gong Revenue Harness, these agents come with rigorous enterprise regulation, controlled data access, and comprehensive audit capabilities. Every agent adheres to security protocols already established within Gong, ensuring safe autonomous operations.

Grainne Wafer, the Global Head of Field Partner Enablement at Udemy, shared the advantages of leveraging Gong's technology as they expand, saying, "Gong helps us simplify how people access information and take action.” This assistance aids organizations in scaling effective workflows and applying industry best practices confidently.

Karine Terzibachi, Chief Business Officer at Attentive, echoed this sentiment, emphasizing that Gong enables organizations to convert customer insights into valuable actions, ultimately improving decision-making processes and ensuring a more consistent customer experience.

Enhanced Features of Gong Assistant

Mission Big Dipper not only expands Gong's capabilities but also enhances Gong Assistant, ensuring AI functionality actively supports representatives in their roles. The AI Builder within Gong Assistant allows teams to transition from insights to actions seamlessly during conversations. Representatives can pose inquiries about renewal risks, generating critical output right then and there, without the need for context-switching. This feature promotes efficiency in the daily workflows of revenue teams.

AI-Driven Coaching and Readiness

Moreover, Gong Enable unveils new capabilities aimed at bridging the gap between preparation and execution. For instance, the Dry Run feature allows representatives to conduct realistic role-play scenarios based on actual customer contexts prior to meetings. Meanwhile, the AI Coach provides tailored feedback post-training sessions, offering insights that can inform their approach for subsequent client interactions.

The upcoming AI Builder for Scorecards feature will enable enablement teams to create comprehensive coaching-ready scorecards automatically, simplifying the performance evaluation process.

With Custom Agents set to be widely available this month and additional capabilities rolling out shortly, organizations can look forward to a transformative shift in how they approach revenue operations.

To discover more about the Mission Big Dipper initiative and the full range of capabilities offered, visit Gong's official blog.

Conclusion

As companies like Gong continue to innovate in the realm of revenue AI, the introduction of Mission Big Dipper represents a notable leap forward. The enhanced functionalities, particularly the Custom Agents, promise to empower revenue teams like never before, ultimately leading to improved efficiency, better decision-making, and increased revenue outcomes.