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Gong adds auto-enrichment and event-driven agents to its revenue intelligence platform

From SiliconAngle

By Paul Gillin

September 30, 2026

Gong adds auto-enrichment and event-driven agents to its revenue intelligence platform

Gong adds auto-enrichment and event-driven agents to its revenue intelligence platform

Revenue intelligence startup Gong is expanding its platform with third-party account and contact data, deeper artificial intelligence analysis and tools for building agents that automatically execute sales workflows.

The company today launched Mission Callisto, a new feature of its Gong Enrich data enrichment platform that brings information from outside data providers into its Revenue Graph analytical and reporting engine. The release also adds deep research to Gong Assistant and expands dashboards beyond forecasting to track performance across sales, marketing and customer success.

Gong, the business name of Gong.io Ltd., said the updates address a common problem facing revenue teams: Customer conversations and sales activity provide useful context, but they don’t necessarily contain the current contact information and account details sellers need to reach prospects. Missing or outdated records can also limit what AI assistants and agents can access.

“Gong Enrich adds data that may not exist in either place,” co-founder and Chief Product Officer Eilon Reshef said, referring to its Revenue Graph and customer relationship management records. “By bringing information from multiple third-party data providers directly into Gong, teams can fill those gaps and give Gong’s AI and agents a more complete picture of every account and contact.”

Customers can connect to supported data providers and set the order in which Gong queries them. If a provider can’t supply the requested information, Gong moves to the next one on the list.

Customers can use existing subscriptions and credits and spend Gong Credits to fill in any gaps. Partners include ZenLeads, Inc., which does business as Apollo , LeadIQ Inc., Lusha Systems Inc., RocketReach LLC and ZoomInfo Technologies Inc.

Sellers can fill missing contact details with a click, while teams can automate enrichment when specified conditions occur. For example, a bounced email can trigger a search for updated information.

Administrators choose data partners, exclude selected geographies and decide whether incoming information fills empty CRM fields or replaces existing values. Gong also identifies the source for most contact details and allows that information to be passed into the CRM.

Those controls have limits. Reshef said Gong relies on providers’ representations about opt-out and suppression requirements, does not independently verify each contact’s opt-out status and does not guarantee every data point’s accuracy. Customers remain responsible for how they use the information, including outreach.

Prebuilt agents

Another change is the addition of automatic triggers to custom agents. Gong distinguishes Agent Builder, which creates workflows specific to a customer’s business, from Agent Studio, where customers configure Gong’s prebuilt agents.

“The biggest change is that those agents can now be event-driven rather than relying on someone to manually trigger them,” Reshef said.

For example, an agent could respond to a change in status of an enterprise deal by analyzing relevant calls against a company’s risk criteria, summarizing its findings and writing next steps to the CRM. Customers can define triggers, conditions and actions through a visual editor or natural-language instructions, then reuse company-specific expertise across agents.

Deep Mode targets strategic questions requiring broader investigation than Gong Assistant’s existing Quick Mode. For example, a revenue leader might ask what is driving enterprise deal risk during a quarter and what the team should change.

The feature can clarify the question’s scope, plan an investigation and examine deals, conversations, accounts and other signals over time. It might identify recurring security concerns in stalled deals and surface supporting conversations.

“Deep Mode is for bigger strategic questions that require broader analysis, synthesis across multiple signals, and a complete, sourced report,” Reshef said.

The dashboard expansion lets teams define metrics once in Gong Data Studio and reuse them across views. Other Assistant updates embed it in deal and account boards and allow users to create Gong Engage Flows through natural-language requests.

Gong Enrich, Deep Mode and the expanded dashboards are generally available. Automatically triggered custom agents and the other Assistant enhancements will roll out later this year.

View original article on siliconangle.com

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