Document Analysis Agent
Extraction and validation specialist
Reads uploaded contracts, invoices and forms, extracts the fields you define and validates them against your rules before release.
A sample-data demonstration workflow is available. Live execution needs more configuration.
What this agent is for
Convert unstructured documents into checked structured data, with every low-confidence field surfaced for human review.
Capabilities
- Layout-aware text and table extraction
- Field mapping to your schema
- Rule-based validation with confidence scores
- Exception queue for low-confidence fields
- Batch document comparison
Inputs it needs from you
- PDF, image or office documents
- Target field schema
- Validation rules
Outputs it produces
- Structured field table
- Validation report
- Exception list
- CSV or JSON export
Industries
- Banking
- Insurance
- Legal
- Logistics
- Government
- Construction
How This AI Agent Works
The published process for this agent: what triggers it, what it validates, which approved tools it calls, where a human approves and what it delivers.
Document extraction workflow
From an uploaded document to validated structured data.
Saved with the run so the recorded execution trail shows what was asked. Demonstration runs use sample data. They do not touch your systems.
Public visitors can preview the structure and inspect every node. Labelled demonstrations and live runs require a signed-in account with configured providers.
Workflow summary as a text list
- 1. Upload document: Input. PDF, scan or office file uploaded to the workspace.
- 2. File validation: Validation. Check type, size, page count and readability.
- 3. OCR and classification: Approved tool. Read the pages and classify the document type.
- 4. Extract fields and tables: AI agent. Pull the requested fields with per-field confidence.
- 5. Schema validation: Validation. Check the extraction against the expected schema and totals.
- 6. Confidence routing: Decision. Low-confidence fields are flagged instead of accepted.
- 7. Human verification: Human approval. A reviewer confirms flagged fields before export. Human approval required.
- 8. Structured dataset: Output. CSV/JSON export plus an annotated source document.
Approval gate: Human verification. Deliverable: Dataset.
Workflow audit for this page
| Template ID | Nodes | Approval node | Output type | Preview | Demo | Live | Mobile test |
|---|---|---|---|---|---|---|---|
| document-analysis-agent | 8 | Yes. Policy: always | Dataset | Available | Available (signed in) | Available via Studio · requires ai_provider | Verified at 390px |
Demonstration runs are stored and replayed from recorded events. Live runs execute server-side in the Studio and only start when the listed integrations report healthy.
Ask this agent team a question
Ask the live agents
Describe the problem in your own words. We classify the industry, assign specialist agents, and you watch the workflow run and produce the visual deliverables — maps, dashboards, charts, tables and reports — instead of one block of text.
Demo mode uses clearly labelled sample data — never presented as verified.
Assigned specialists
Industry detected from your wording
- Requirement validation agent
- Analysis agent
- Quality and citation reviewer
Deliverables planned
Workflow the run follows
- 1. User request
- 2. Requirement validation
- 3. Industry classification
- 4. Specialist agent selection
- 5. Data and file collection
- 6. Tool authorisation
- 7. Execution plan
- 8. Multi-agent collaboration
- 9. Analysis or generation
- 10. Quality validation
- 11. Human approval
- 12. Visual deliverables
- 13. Monitoring and audit
Ready to scope your AI initiative?
Share your objective and constraints. A specialist reviews every request before any recommendation is issued.