Experience
Self-learning expertise from real conversations
An Experience is crystallized knowledge that an AI Employee builds over time by processing real conversations. Cases are automatically extracted from interactions, clustered by scenario type, and distilled into reusable expertise guides — complete with confidence scores, resolution steps, and edge cases. New AI Employees can bootstrap with pre-seeded experiences, while seasoned ones continuously refine their knowledge base.
Real-World Examples
Customer Returns
After resolving 50+ return cases, AI crystallizes a guide covering common return reasons, optimal resolution paths, and edge cases like warranty disputes
New return inquiries resolved 3x faster with 95% satisfaction
Pricing Negotiations
AI distills patterns from 200+ quote negotiations into expertise on discount thresholds, competitor pricing responses, and volume deal structures
Sales AI closes deals faster with proven negotiation strategies
Technical Troubleshooting
AI clusters support tickets by failure type, builds resolution trees with success rates, and identifies recurring root causes
First-contact resolution rate jumps from 60% to 85%
Vendor Onboarding
AI accumulates best practices from onboarding 30+ vendors — typical delays, required documents, common compliance issues
New vendor setup time reduced from 2 weeks to 3 days
Related Concepts
See how AI Employees use Experiences
Explore AI Employee Personas