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Janalix

AI-native HR document intelligence for reviewed evidence

Janalix focuses on document-heavy HR teams that need AI extraction drafts, human review, compliance states, signatures, audit trails, and limited verification links.

HR TechDocument IntelligenceComplianceVerification
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Outcome Focus

Make HR document evidence easier to classify, review, trace, approve, sign, and verify without exposing private source files.

Primary User

HR operations, BPO and outsourcing teams, compliance teams, and employers

Problem

HR teams often manage employee files across email and storage, making evidence difficult to classify, review, approve, sign, audit, and verify.

How it works

A review-first workflow separates private source files, AI drafts, human decisions, audit events, signatures, and limited public verification links.

Current stage

Continue sales-led validation with HR and compliance buyers while expanding workflow depth around document review, approval, signature, and verification.

Build Brief

What Solvrz is testing through this product

This product shows how Solvrz thinks about workflow control, compliance evidence, and AI-assisted review. Each brief stays grounded in product risk, architecture choices, operating constraints, and public proof.

Product Direction

An invite-led HR document intelligence workspace where AI drafts structured fields, HR reviewers approve or correct records, and approved evidence can support signatures, audit, and verification.

AI drafts document type, structured fields, confidence, and uncertainty before HR approval

Human-reviewed AI keeps records in draft state until an authorised reviewer acts

Limited verification links and QR codes expose approved fields, not private source files

Architecture Notes

Capture

Collects private employee files with organisation-controlled access and clear intake state.

AI Drafting

Drafts document type, structured fields, confidence, and uncertainty for reviewer action.

Human Review

Keeps AI output as draft evidence until HR approves, edits, rejects, or requests a signature.

Verification

Publishes limited verification links and QR codes only after approved evidence is ready.

Evidence and Risk

Evidence Points

  • Public site describes an invite-led setup where organisation admins invite HR users.
  • AI output remains draft evidence until a human reviewer approves, edits, or rejects it.
  • The product workflow covers capture, extraction, approval, and verification states.

Operating Risks

  • Document and policy quality remain customer-owned inputs.
  • AI extraction quality depends on source-file fidelity and reviewer feedback.
  • Verification must expose limited approved fields without leaking private source files.

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