Reps scrambled to save accounts after escalation. Now, AI flags sentiment drops and competitor mentions, letting them intervene early.
A high-growth security software startup needed to scale its customer success function to support a rapidly expanding client base without increasing headcount.
The team relied on reactive, manual workflows that left them scrambling to save at-risk accounts only after problems escalated. Critical product...
“Gong’s deal risk indicators are critical to our CS operations. They help me protect revenue before it’s in danger.”
AI-powered cloud detection and response platform using digital twin technology.
Gong is a sales enablement platform that leverages AI to provide actionable insights from sales conversations, enhancing sales performance and strategy.
Stream Security's Customer success operations is part of this use case:
Related implementations across industries and use cases
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
Scattered notes meant reps spent months learning accounts. Now, AI deal briefs and a searchable call library deliver instant context.
120 managers manually pieced together context across 20 offices. AI now generates instant briefings for churn risks and handovers.
Scattered notes meant reps spent months learning accounts. Now, AI deal briefs and a searchable call library deliver instant context.
Mining 5 coachable minutes from a 45-min call kept coaching rare. AI summaries in 20 seconds lifted scorecards from 23 to 218 in a quarter.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Reps scrambled to save accounts after escalation. Now, AI flags sentiment drops and competitor mentions, letting them intervene early.
A high-growth security software startup needed to scale its customer success function to support a rapidly expanding client base without increasing headcount.
The team relied on reactive, manual workflows that left them scrambling to save at-risk accounts only after problems escalated. Critical product...
“Gong’s deal risk indicators are critical to our CS operations. They help me protect revenue before it’s in danger.”
AI-powered cloud detection and response platform using digital twin technology.
Gong is a sales enablement platform that leverages AI to provide actionable insights from sales conversations, enhancing sales performance and strategy.
Stream Security's Customer success operations is part of this use case:
Related implementations across industries and use cases
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
Scattered notes meant reps spent months learning accounts. Now, AI deal briefs and a searchable call library deliver instant context.
120 managers manually pieced together context across 20 offices. AI now generates instant briefings for churn risks and handovers.
Scattered notes meant reps spent months learning accounts. Now, AI deal briefs and a searchable call library deliver instant context.
Mining 5 coachable minutes from a 45-min call kept coaching rare. AI summaries in 20 seconds lifted scorecards from 23 to 218 in a quarter.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.