sales_ops · finance · workflow
MANTL improves forecasting efficiency by 30% and saves 30 hours per week on deal reviews with the Gong Revenue AI OS
MANTL's revenue teams were siloed across multiple solutions, hampering collaboration across sales, product, and marketing. Their long, compliance-heavy sales cycles required rigorous deal management and seamless cross-functional coordination that their existing tools could not provide.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Conversational data capture
The sales team seamlessly captures and analyzes conversational data to feed deal management processes.
Tools used
Gong Revenue AI OSAI Deal MonitorDeal BoardsAI InsightsSlack
Outcome
MANTL cut forecasting time by 30% and saved 30 hours per week on deal reviews. Platform adoption expanded well beyond sales to include implementations, post-sale, and product teams, and pipeline created per rep increased significantly.
Results
Time saved30%
Volume30 hours per week
Cost replacedsignificant increase to MANTL's sales team's revenue, driving up the average pipeline created per rep
Grounding & classification
Source type: vendor customer story
30 fields verified against source quotes.
anomaly detectionenterprise searchforecastingsummarizationcall recordingemailhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwarecycle time reductionemployee productivityrevenue increasetime savedvendor customer storysales opssales outreachdata sync enrichmentextract classify route