When your best analyst retires, their expertise stays.
In 2025, the federal government lost 238,000 workers. Every one of them took institutional knowledge that isn't written down anywhere. The expertise isn't in documents — it's in the context, the judgment calls, the 'here's why we did it this way' that lives in one person's head. Before Knowledge Capture: a FOIA officer retires, and her replacement spends 6 months learning exemption precedents by trial and error, re-making mistakes she'd already solved. After: her expertise was captured as she worked. The replacement searches 'FOIA exemption 7A' and gets 3 relevant precedents with confidence scores in seconds. The person left. The knowledge didn't.
Captures expertise as it happens — not as an afterthought. Knowledge enters the system through natural workflows, not separate documentation tasks.
Organizes automatically — tags, categorizes, and connects new knowledge to existing entries. No manual filing.
Surfaces what's relevant — when an analyst is working on a problem, the system surfaces related expertise from across the organization, including from people who left years ago.
Lives on your hardware — encrypted database deployed to your infrastructure. Your data never leaves your environment.
Analysts capture expertise as it happens
Not after-the-fact documentation. As decisions are made, the reasoning and context get recorded — title, content, source, confidence level.
System auto-tags and links related knowledge
Tags improve discoverability. Links build a navigable knowledge graph so related expertise surfaces together.
New analysts search and find expert knowledge
Full-text search across all captured knowledge. The system surfaces what predecessors knew — including judgment calls that never made it into formal docs.
Health monitoring flags gaps and staleness
Continuous assessment of knowledge base completeness: untagged items, orphaned knowledge, single-source risks, stale entries.
This is what Knowledge Capture actually produces. Real format, sample data.
Found 3 results (0.04s)
[1] Score: 0.94 | By: Maria Chen (retired 2024)
"Exemption 7A applies when disclosure would interfere
with enforcement proceedings. Key precedent: the 2019
EPA case where we released partial records after the
investigation closed. Check with OGC before applying
to active cases — they changed the threshold in 2022."
Tags: foia, exemption-7a, enforcement, ogc
Confidence: 82% (last verified 2024-01-15)
[2] Score: 0.87 | By: James Wright (active)
"7A denials require a specific, articulable harm test.
Generic 'law enforcement purposes' language gets
overturned on appeal. Document the actual harm."
Tags: foia, exemption-7a, appeals, denial-language
Confidence: 91% (verified 2025-11-02)
[3] Score: 0.71 | By: Sarah Kim (transferred 2023)
"The 2021 IG report flagged our 7A usage as overly
broad. Narrowed criteria after that — see policy
memo 2021-034 for the updated standard."
Tags: foia, exemption-7a, ig-report, policy-change
Confidence: 68% (aging — review recommended)
Maria retired two years ago. Her expertise is still answering questions.Any agency experiencing knowledge loss through staff turnover — which is every agency. Particularly valuable for organizations with high rotation rates, complex regulatory environments, or multi-decade institutional history. Every tool ships with realistic demo scenarios so you can explore immediately — clear demo data with one command when you're ready for real work.
90 minutes. Your real data. I show you what Knowledge Capturefinds that you didn't know you were missing.
4-6 weeks on one specific problem. Fixed scope, fixed fee. You see results before you commit to anything larger.
Deploy on your infrastructure. Your data stays yours. Cancel anytime — I earn renewal through value, not lock-in.
Bring a real problem. I'll analyze it live — and tell you honestly whether this tool solves it.
Request a Demo