Boomi, Gong tie AI agents to live customer revenue signals

Boomi has partnered with Gong to bring Gong's revenue signals into the Boomi Enterprise Platform, linking customer conversation data with Boomi's AI agent tools.

The partnership is designed to make signals captured in Gong available as triggers for AI agents built in Boomi Agentstudio. Those agents can then launch automated workflows across systems including customer relationship management, enterprise resource planning, and product and operational software.

For many large companies, the challenge is turning data into action. Sales, service, and customer success teams may collect extensive information on buyer behaviour, deal risks, and product feedback, but that information often stays locked inside the software where it was first captured.

Boomi and Gong aim to address that by connecting Gong's live insights to Boomi Connect and the wider Boomi platform. In practice, enterprises can use signals from customer calls and sales activity to trigger actions in other parts of the business without building custom infrastructure.

Examples outlined by the companies include attaching call context from Gong to support tickets, sending product feedback from customer conversations into roadmap systems, triggering finance workflows tied to deal milestones, and surfacing competitive intelligence in sales enablement tools.

Data flow

The arrangement also extends to Boomi's model context protocol registry, where Gong will be listed so its revenue signals and engagement data can be accessed by AI agents on the platform. A pre-built workflow template, described as a "Gong recipe", has also been added to the Boomi Marketplace for joint customers.

Boomi's Agent Control Tower will provide oversight of actions initiated by Gong signals. Those actions are logged, auditable, and governed by enterprise policy, reflecting the growing focus among large organisations on security and compliance in AI-driven automation.

AI operations

The tie-up highlights how software vendors are trying to make generative AI and agent-based systems more useful in day-to-day business processes. Rather than relying on static datasets or isolated chat interfaces, vendors increasingly argue that enterprise AI needs access to live operational and customer data if it is to drive business tasks automatically.

For Gong, the partnership broadens the reach of the customer and revenue intelligence gathered through its platform. Gong is known for analysing sales calls, meetings, and other interactions to identify shifts in buyer intent, risks in the sales pipeline, and competitive pressure in active deals.

For Boomi, the agreement adds another external data source to a platform that combines integration, automation, API management, and AI agent governance. Boomi positions that platform as a way for businesses to connect systems and data sources while maintaining central control over how automated processes run.

Architecture race

The announcement comes as technology providers compete to define the architecture behind enterprise AI deployments. One side of that effort focuses on building the agents themselves; another focuses on the pipelines, controls, and monitoring needed to let those agents work across multiple business systems.

The collaboration is intended to give revenue teams access to Gong call data, insights, and representative activity signals through governed connectivity. Gong is also listed as a native integration in the Gong Collective, intended to let joint customers surface Gong data inside compatible AI tools.

Although the companies emphasised sales-related uses, the integration extends beyond front-office teams. By routing signals into finance, support, and product systems, it points to a broader push to use sales conversations as a source of operational intelligence across an organisation.

That reflects a wider trend in enterprise software, where unstructured data such as recorded calls, meeting transcripts, and customer interactions is increasingly treated as an input for automated workflows. The challenge has been turning those signals into actions that can be governed and audited, especially in large businesses with complex technology estates.

Ed Macosky, Chief Product & Technology Officer, Boomi, outlined the company's view of that shift.

"The agentic enterprise isn't built on static data, it's powered by real-time signals that drive action. With the depth of Gong's revenue insights, Boomi provides the foundation to operationalise them within its agent network. Together, we're helping enterprises close the loop between what customers are saying and how they translate those insights into meaningful, automated action," said Ed Macosky, Chief Product & Technology Officer, Boomi.

Gong similarly presented the partnership as a way to extend the use of its customer insights beyond sales execution and into wider enterprise workflows.

"The Gong Revenue AI OS orchestrates customer insights across critical revenue workflows, and this integration extends that value across the enterprise. With Boomi, we're enabling organisations to harness Gong's AI-driven insights and signals within the Boomi Enterprise Platform to drive coordinated outcomes for customers, seamlessly and at scale," said Eran Aloni, Executive Vice President of Product Strategy and Ecosystem, Gong.