EngineeringOwn IntelligenceMedium complexity
Institutional Knowledge Capture
Capture what experienced staff know before they retire or leave.
How we approach it
Structured interviews, recorded walkthroughs and decision logs become procedures, decision trees and worked examples. Experts review the result before it becomes searchable, and every answer names its source and owner. Content is reviewed on a schedule so it does not go stale.
Business value
Expertise that stays when people leave
Technology stack
- Interview capture
- knowledge base
- hybrid retrieval
- review workflow
Related service
Proprietary AI DevelopmentRelated use cases
- Cross-Industry · EngineeringExpert-Validated Knowledge BaseKnowledge bases built by crawling go stale and fill with pages that are not what they seem, and the assistant on top repeats the errors.
- Cross-Industry · EngineeringModel Retirement & Provider Exit PlanModel providers retire versions at short notice and change prices and terms, and applications tuned to one model break when it goes.
- Cross-Industry · EngineeringLLM Application EvaluationAssistants and agents that looked good in a demo degrade quietly in production when prompts, data or the model change.