Every organization has lost institutional knowledge when employees left.Engineering leads have experienced the "Sarah knew why we made that decision and now she's gone" problem.
Before Zdravo: Important AI-assisted decisions made in ChatGPT, Claude, and Cursor conversations disappeared when the tab closed. Team memory was ephemeral.
Cost of re-discovering lost knowledge:
10-40 hours per engineer
$5,000-$20,000 per departure
Zdravo continuously analyzes AI conversation patterns and contributions per team member. Every decision, solution, and insight is captured automatically via:
When a member is marked as "offboarding," Zdravo generates a comprehensive knowledge summary using AI analysis:
All memories remain searchable with attribution, preserving the knowledge without the person:
System architecture, database design, caching strategies, security patterns
"Every time we need event-driven updates, use CDC + Debezium approach. 12 conversations with Claude about this pattern over 3 months."
All 147 memories remain searchable • New hires can reference Sarah's context