Packaged workflows for document-heavy decisions.

Key information is trapped in PDFs, forms, emails, reports, and spreadsheets — and teams are still extracting it manually.

• → Pulling vendor, invoice, policy, contract, or claims data into business systems
• → Extracting obligations, dates, and parties from contracts
• → Turning document collections into structured case, vendor, asset, or project records
• → Capturing tables, line items, and document fields for downstream automation

A decision cannot be made from one document alone. The answer depends on connecting evidence spread across multiple files.

• → Assessing whether a claim is covered based on the policy, claim form, and medical report
• → Checking whether a supplier satisfies onboarding or tender requirements using certificates, declarations, and contracts
• → Determining whether an obligation was met by comparing clauses, emails, and status reports
• → Finding which active contracts are exposed because a vendor certificate expired

The important signal is not obvious in any one document. It emerges only when entities, events, and timelines are connected.

• → Reconstructing how a fraud case unfolded across claims, emails, reports, and payments
• → Identifying suspicious relationships between doctors, clinics, claimants, and repeated incidents
• → Tracing ownership, control, or exposure across multiple entities and documents
• → Surfacing unusual patterns, clusters, or central actors that suggest risk or fraud

The answer is high-stakes, so users need to see where it came from and why the system reached that conclusion.

• → Explaining why a compliance breach, exception, or claim decision was flagged
• → Showing the exact contract clause, email, report, or form that supports an answer
• → Giving AI outputs with provenance, evidence chains, and audit trails
• → Supporting regulated workflows where teams must verify answers before acting