AlTi Global, a global wealth manager with $90 billion in assets under management is to be employing Nevis, an AI-enabled wealth management product, through the rest of its global advisor network. The move is intended to simplify operations and enhance the customer experience. The firms move toward the use of technology to accomplish this endnote in its partnership with Gongto incorporate Gong’s Revenue AI features directly into Boomi Agentstudio, so that companies can automate and redirect customer conversations directly into AI-powered business processes of all types. The capable to link sales, customer success, finance, and operating processes with real-time revenue insights from Gong.
The integration enables Gong’s customer engagement signals—including buyer intent, deal risk, competitive insights, and conversation intelligence—to act as live triggers for AI agents built within Boomi Agentstudio. These AI agents can then automate workflows across CRM, ERP, support, and operational systems in real time.
As part of the partnership, Gong will also be integrated into Boomi’s MCP Registry, making revenue intelligence accessible to enterprise AI agents without requiring complex custom infrastructure. The collaboration includes pre-built workflow recipes and centralized governance through Boomi’s Agent Control Tower, allowing organizations to scale AI-driven automation securely.
Also Read: Intuit Expands AI-Powered Enterprise Suite for Faster Revenue Decisions
“The agent business isn’t built on static data, but on real-time signals that can generate action,” said Ed Macosky, Chief Product and Technology Officer at Boomi. “Gong’s deep revenue data provides Boomi with the foundation to translate that intelligence into concrete actions within its agent network. Together, we help organizations connect what their customers are saying with high-impact, automated responses.”
AI Is Transforming Revenue Operations
The Boomi-Gong partnership is an example of a larger trend reshaping the revenue industry. In the past, all the customer insights gained during sales was recorded in a closed sales system. Simply put, businesses now have a way to seamlessly plug Revenue AI into their enterprise automation solutions and convert customer conversations to immediate operational response.
The Revenue AI agents can, for instance, fire off a churn prevention action plan, pass a support ticket along, refresh forecast models, send product info to dev, or launch a lifetime value upgrade campaign. We are already seeing the emergence of the “agentic enterprise” as AI setups take on more actionable role than simply synthesis of the available data, taking up group and individual business activity, enabling real-time process management.
No longer dependent on dashboards or infrequent reports, revenue teams can increasingly operate through automated, signal-driven flows.
Impact on the Revenue Industry
As enterprises leverage automation through AI at scale, partnership will have profound consequences for revenue industry. One of the largest advantages is the speed at which real-time revenue intelligence is deliverables.
Companies are able to act on customer engagement signals instantly rather than waiting for sluggish manual analysis or delayed callbacks.
This also further reinforces the importance of AI agents within enterprise revenue processes. Companies progressing past simple automation to intelligent agents which can synchronize projects and applications across departments.
Another key shift is the increasing importance of connected enterprise data. Revenue insights are becoming more valuable when integrated across CRM, ERP, support, and operational systems rather than remaining confined to individual applications.
The partnership additionally reflects growing demand for governed AI infrastructure. As businesses scale AI-driven workflows, enterprises require centralized visibility, compliance controls, and auditability to ensure secure and accountable automation.
Business Impact and Revenue Growth Opportunities
For businesses, the integration creates several operational and strategic advantages. Companies can improve forecasting accuracy, automate repetitive revenue workflows, and reduce delays between customer insights and business action.
Sales teams gain faster visibility into buyer intent and deal risks, while customer success teams can proactively respond to churn signals or expansion opportunities. Finance and operations teams also benefit from automated workflows tied directly to revenue milestones and customer engagement activity.
The partnership further enables organizations to scale AI adoption without building custom infrastructure from scratch. Pre-built integrations and workflow recipes reduce implementation complexity while accelerating time-to-value for enterprise AI initiatives.
The Future of AI-Driven Revenue Management
The Boomi & Gong partnership reflects a huge leap forward in revenue ops down the road. More and more businesses are migrating to AI-native ecosystems where customer conversations, operational systems, and automated workflows work together in real-time.
As agents in AI will take more and more intelligence to communicate and cooperate, revenue organizations will rely less on hand to hand communication, and will use autonomous systems to orchestrate across the world.
Customer experience will act more and more as a live operational signaling to nudge automatic forecast retention sales acceleration and expansion. At its best, the partnership illustrates how Revenue AI is transforming from an a separate layer of analytics into the vital new underpinning of enterprise automation enabling business to automate better, faster and smarter revenue operations.
