Sknwlkr gathers public and internal signal about specific separation cases and produces rigorous, source-attached documentation for HR and legal review.
Not surveillance. Not scoring. Sknwlkr is a documentation assistant for separations that are already planned — helping teams reduce litigation exposure through rigorous preparation.
Every claim cites its origin — LinkedIn, court records, public mentions, or uploaded HR documents. No black boxes.
Flags missing evidence before the memo is finalized, so legal can request the right records in time.
Scoped queries against verified subject data only. No rankings, no “loyalty scores,” no termination recommendations.
Views, exports, enrichment runs, and AI queries are logged by user and timestamp.
Each subject gets a structured Separation Readiness Memo generated from verified sources, reviewed by legal, and exported for the file.
Enter name, email, LinkedIn, role, and matter. Sknwlkr begins automated enrichment only against authorized sources.
LinkedIn, web search, court records, podcasts, and uploaded HRIS/performance docs are extracted and stored with attribution.
The memo summarizes employment history, public signal, documentation gaps, and recommended rigor — all source-linked.
Legal marks the memo finalized. Exports are logged, and retention rules apply automatically.
Sknwlkr is positioned as a legal-review preparation aid, not an employment decision tool. The architecture reflects that.