How Chime Uses Gong to Cut Admin Work 50% in B2B Sales

Chime built its name as a direct-to-consumer fintech brand serving everyday banking needs, but it pivoted to also serve the B2B market, offering its financial products as a workplace benefit. That shift required standing up an entirely new go-to-market function—one that could operate at speed, integrate AI from day one, and give leadership clear visibility into a nascent pipeline.

Before Gong, Chime’s newly assembled B2B sales team lacked a centralized system for capturing and analyzing customer interactions. Forecasting was largely anecdotal, based on individual seller judgment rather than deal-level data. Administrative overhead consumed a disproportionate share of rep time, and there was no mechanism for identifying patterns in what was working or what was creating friction in the sales cycle.

Chime selected the Gong Revenue AI Operating System as the core of its sales technology stack. Gong ingests every seller-client interaction and applies AI to surface insights, track deal health, flag competitive mentions in real time, and power forecasting with actual engagement data. Specific features including AI Tracker and AI Ask Anything gave the team on-demand access to recurring objections and industry-specific patterns, while Gong Insights enabled more precise pipeline projections.

The results arrived quickly. Administrative work fell by roughly 50%, allowing sellers to redirect their time toward relationship-building and complex deal work. The company eliminated the need to hire additional sales capacity to handle pipeline growth, relying instead on operational efficiency gains. Forecast accuracy improved substantially as the team replaced gut-feel estimates with structured, data-backed projections.

Chime is now positioned to scale its B2B business with a sales infrastructure built around continuous AI-generated intelligence. As the company deepens its use of Gong’s capabilities, the expectation is that win rates and sales cycle times will also improve—extending the platform’s impact well beyond the efficiency gains already realized.