Sales ops · Production

MANTL improves forecasting efficiency by 30% and saves 30 hours per week on deal reviews with the Gong Revenue AI OS

The problem

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.

Workflow diagram · grounded in source
1
Conversational data capture
trigger
“The sales team is now able to seamlessly capture and analyze conversational data — which improves forecast accuracy — and integrate that data directly into their deal management processes”
2
AI call summaries and buyer insights
ai_action
“Features like digestible call summaries, AI Insights into buyer behaviors, and streamlined collaboration allow the company to manage its sales processes more effectively”
3
AI Deal Monitor risk detection
ai_action
“Gong's AI Deal Monitor does that for them by detecting risks that could send deals off track”
4
Deal Boards real-time opportunity view
output
“Gong's Deal Boards are also giving them back time in their days by providing a centralized, real-time view into every opportunity”
5
Salesforce data sync
integration
“With Gong's Deal Boards pushing back to Salesforce, it's easy for our executive team to go into either platform before forecasting meetings and get a really clear sense of what's going on”
6
AI-backed deal search
ai_action
“Gong's AI-backed search capabilities allow reps and their managers to access critical information about any deal, right when it's needed most”
Reported 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.

Reported metrics
Forecasting time reduction30%
Deal review time saved per week30 hours per week
Pipeline revenue per repsignificant increase to MANTL's sales team's revenue, driving up the average pipeline created per rep
Reported stack
Gong Revenue AI OSAI Deal MonitorDeal BoardsAI InsightsSlackSalesforce
Source
https://www.gong.io/customers/case-studies/how-mantl-improved-forecasting-collaboration-and-pipeline-growth-with-the-gong-revenue-ai-platform
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

MANTL cut forecasting time by 30% and saved 30 hours per week on deal reviews.

What tools did this team use?

Gong Revenue AI OS, AI Deal Monitor, Deal Boards, AI Insights, Slack, Salesforce.

What results were reported?

Forecasting time reduction: 30%; Deal review time saved per week: 30 hours per week; Pipeline revenue per rep: significant increase to MANTL's sales team's revenue, driving up the average pipeline created per rep (source-reported, not independently verified).

How is this sales ops AI workflow structured?

Conversational data capture → AI call summaries and buyer insights → AI Deal Monitor risk detection → Deal Boards real-time opportunity view → Salesforce data sync → AI-backed deal search.

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