SaaStr’s AI VP of Customer Success Cuts Human Hours by 70%

The Gist

• QBee, SaaStr’s AI CS VP, saved 70% of human hours in 2025
• QBee manages 150+ sponsors with proactive, customized workflows
• The AI replaced repetitive tasks like asset tracking and QBRs
• External teams also saw significant efficiency gains

• SaaStr's AI VP of Customer Success (QBee) saved 70% of human hours spent on customer success work in 2025.
• QBee improved sponsor experience by increasing response rates, completion rates, and reducing last-minute scrambles.
• The AI agent handles repetitive tasks, allowing humans to focus on relationship management and strategic work.
• QBee was built in-house because no off-the-shelf solution existed to automate customer success workflows.
• The 90/10 rule applies to AI adoption: buy 90% of what you need, build the 10% where nothing exists yet.
• AI agents like QBee can deliver higher quality, more consistent, and personalized output than humans across large account volumes.

• Deploy an AI agent to handle repetitive customer success tasks to free up human capacity for strategic work.
• Proactively push information to customers to reduce their manual effort and improve compliance with deliverables.
• Follow the 90/10 rule for AI adoption: buy off-the-shelf solutions where possible, but build custom agents for unmet needs.
• Measure both internal and external hour savings to fully quantify the impact of AI on customer success workflows.

• 70% (Reduction in total customer success hours (internal and external) after deploying QBee.)
• 65% (Reduction in internal team hours spent on status tracking, update emails, and repetitive tasks.)
• 75% (Reduction in external sponsor team hours spent on manual tasks like portal logins and asset uploads.)
• 3x (Productivity multiplier for remaining human customer success work.)
• 90% (Sponsors prefer interacting with QBee over humans for routine communications.)
• $200 (Approximate cost to build and run QBee, excluding soft costs like developer time.)