Whop
Customer support
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
- 65-70% ticket deflection rate
- 50% reduction in payment tickets via AI insights
Agents manually reconstructed context across systems. AI now summarizes history and drafts responses in a single, unified workflow.
A global enterprise software provider with over 20,000 employees faced increasing complexity as its platform and customer base expanded.
Support, learning, and community resources lived in isolated portals with inconsistent navigation, confusing users about where to find information....
“We’re unlocking the potential of Agentic AI and Workflow Data Fabric to enable One Connected Experience and Workflow. By leveraging these capabilities, we are transforming how customers and agents interact—providing intelligent, single pane of glass that anticipates needs and sets a new standard for speed, simplicity, and insight across every touchpoint of customer journey.”
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
Note — ServiceNow is also the vendor behind this implementation.
ServiceNow's Customer support is part of this use case:
Related implementations across industries and use cases
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Help articles left practitioners digging for urgent answers. Now, a compliant AI handles routine queries, freeing human specialists.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Help articles left practitioners digging for urgent answers. Now, a compliant AI handles routine queries, freeing human specialists.
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.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Agents manually reconstructed context across systems. AI now summarizes history and drafts responses in a single, unified workflow.
A global enterprise software provider with over 20,000 employees faced increasing complexity as its platform and customer base expanded.
Support, learning, and community resources lived in isolated portals with inconsistent navigation, confusing users about where to find information....
“We’re unlocking the potential of Agentic AI and Workflow Data Fabric to enable One Connected Experience and Workflow. By leveraging these capabilities, we are transforming how customers and agents interact—providing intelligent, single pane of glass that anticipates needs and sets a new standard for speed, simplicity, and insight across every touchpoint of customer journey.”
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
Note — ServiceNow is also the vendor behind this implementation.
ServiceNow's Customer support is part of this use case:
Related implementations across industries and use cases
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Help articles left practitioners digging for urgent answers. Now, a compliant AI handles routine queries, freeing human specialists.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Help articles left practitioners digging for urgent answers. Now, a compliant AI handles routine queries, freeing human specialists.
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.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.