Atlan accelerates growth and improves forecasting with Gong Revenue AI OS
Atlan's manual, inbound-only sales process could not keep pace with rapid growth. Forecasting suffered from inconsistent formats, limited deal visibility, and no accountability mechanisms, while Salesforce dashboards lacked the sophistication to track rep performance or pipeline risks.
Manual Salesforce dashboards lacked the granularity to track rep performance and pipeline risks, and the absence of week-over-week or quarter-over-quarter tracking hindered leadership's ability to monitor business performance.
Atlan achieved increased forecast accuracy, won large deals at a higher rate, and accelerated deal cycles.
Reps benefit from smoother handoffs and more prepared customer interactions, and leadership has a unified view of the revenue organization.
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Frequently asked questions
What did this team achieve with this AI workflow?
Atlan achieved increased forecast accuracy, won large deals at a higher rate, and accelerated deal cycles.
What tools did this team use?
Gong Revenue AI OS, Gong Forecast, AI Deal Predictor, AI Tracker, AI Briefer, Salesforce.
What results were reported?
Forecast accuracy: increased forecast accuracy; Large deal win rate: won large deals at a higher rate; Deal cycle duration: accelerated deal cycles; Forecast accuracy and predictability: accuracy and predictability a lot stronger (source-reported, not independently verified).
What failed first in this deployment?
Manual Salesforce dashboards lacked the granularity to track rep performance and pipeline risks, and the absence of week-over-week or quarter-over-quarter tracking hindered leadership's ability to monitor business per…
How is this sales ops AI workflow structured?
Customer calls recorded in Gong → Gong Forecast pipeline heat map → AI Deal Predictor scores deal health → AI call summaries extracted → One-page champion brief output → AI Briefer preps reps before calls → AI Tracker monitors market perception → Targeted coaching and pipeline management.