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
Senior marketers manually answered hundreds of reviews. Now, custom AI agents categorize feedback and draft tailored, on-brand replies.
A software platform serving nonprofits and charitable foundations operates a large, segmented marketing organization spanning customer marketing, demand generation, and corporate communications.
Senior marketers spent 12 or more hours manually responding to hundreds of customer reviews across platforms like G2 and Gartner. Maintaining a...
“We try to take a step back and look at which teams need content from us, the kinds of outputs they need, and the reasoning behind the request. That’s really where we step in as human strategists—to provide our teams with the right customer content for their needs. But when it comes to the manual tasks that can slow us down within our content workflows, that’s where we turn to Jasper to really help us.”
Social good software company providing fundraising, advocacy, program management, and corporate social responsibility solutions for nonprofits.
Generative AI platform for enterprise marketing and content creation.
Bonterra's Customer review management 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%.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Pipeline failures buried insights across 180K reviews. Now, AI analyzes feedback so teams can proactively address fit and quality issues.
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Senior marketers manually answered hundreds of reviews. Now, custom AI agents categorize feedback and draft tailored, on-brand replies.
A software platform serving nonprofits and charitable foundations operates a large, segmented marketing organization spanning customer marketing, demand generation, and corporate communications.
Senior marketers spent 12 or more hours manually responding to hundreds of customer reviews across platforms like G2 and Gartner. Maintaining a...
“We try to take a step back and look at which teams need content from us, the kinds of outputs they need, and the reasoning behind the request. That’s really where we step in as human strategists—to provide our teams with the right customer content for their needs. But when it comes to the manual tasks that can slow us down within our content workflows, that’s where we turn to Jasper to really help us.”
Social good software company providing fundraising, advocacy, program management, and corporate social responsibility solutions for nonprofits.
Generative AI platform for enterprise marketing and content creation.
Bonterra's Customer review management 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%.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Pipeline failures buried insights across 180K reviews. Now, AI analyzes feedback so teams can proactively address fit and quality issues.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Marketers spent two weeks manually updating battlecards. Now, AI synthesizes scattered win-loss signals to refresh them in hours.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.