A Document AI Agent that reads, extracts, and tracks—so nothing gets missed in the fine print
Extracts key clauses, surfaces risks, tracks versions, and routes documents for approval without manual review bottlenecks.
From manual work to autonomous execution
The pain
Teams manually review contracts, policies, and SOWs for key terms. Version tracking lives in filenames. Redline suggestions require hours of side-by-side comparison.
What ZUUZ does
ZUUZ reads documents, extracts structured data from clauses, compares against standard terms, suggests redlines, tracks version history, and routes for signature.
The result
Review cycles compress from days to hours. Standard terms get enforced automatically. Analysts focus on judgment calls, not data extraction.
What this agent handles
Every automation runs with evidence, audit trails, and configurable approval gates.
Typical workflows
Real trigger → steps → output sequences. Hover over steps to follow the flow.
New contract uploaded for review
Annotated contract with flagged risks and suggested edits
Contract approaching renewal date
Renewal brief with recommendation delivered to owner
Policy document updated
Change summary distributed, compliance log updated
Inputs
- Document repositories (SharePoint, Drive, Box)
- CLM systems
- Email attachments
- ERP/finance systems
Outputs
- Extracted clause data
- Redline suggestions
- Version diffs
- Approval workflows
- Deadline alerts
Controls
- Playbook compliance enforcement
- Reviewer approval gates
- Version lock on finalized docs
- Complete audit trail
Time & cost impact
Typical savings: 6–12 hrs/week per analyst per user. Results depend on current process complexity and volume. We measure actual impact during your pilot—no guesswork.
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Cycle time reduction
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Fewer handoffs
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Fewer follow-ups
Metrics are measured during your pilot. No aggressive guarantees—just data from your own workflows.
See the Document AI Agent in action on your workflows
Bring your messiest process. We'll show you what changes in the first two weeks.