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Sandboxed proof pattern
Multimodal document and field workflow proof pattern
This pattern shows how Folium can move beyond text-only AI by routing voice, documents, images, field records, and multimodal evidence into validation, confidence review, exceptions, and human approval.
Situation
A team receives calls, photos, PDFs, forms, screenshots, and field evidence, but review is manual, inconsistent, and hard to audit.
Folium move
Create multimodal intake, extraction, confidence thresholds, redaction, validation, queues, exception classes, and evidence packets.
What gets tested
OCR quality, transcript quality, image classification boundaries, confidence scoring, redaction, reviewer overrides, and output destinations.
What stays protected
Sensitive media, private documents, customer identifiers, regulated records, and unreleased evidence stay inside approved review environments.
Proof route
The pattern turns broad capability into reviewable operating steps.
Each lane keeps the same discipline: name the work, expose the route, test the boundary, package the record, and choose the next controlled move.
- 01 Classify inputs Sort voice, image, document, form, video, screenshot, and field record types.
- 02 Extract safely Use OCR, transcription, parsing, image review, and redaction where appropriate.
- 03 Score confidence Set thresholds for auto-routing, human review, exception, and reject states.
- 04 Create records Generate source-to-output lineage, annotations, corrections, and export packages.
- 05 Handoff Train operators on review, correction, escalation, and retention boundaries.
Signals
What a reviewer should be able to see.
Source lineage
Outputs can be traced back to the media, document, or field record that supported them.
Human review
Low-confidence or sensitive outputs route to review instead of pretending certainty.
Operational fit
The workflow connects to queues, destinations, notifications, and owner actions.
Public boundary
This proof pattern supports multimodal workflow readiness. It is not a claim of clinical, legal, identity, safety, industrial-control, or regulated decision authority.
Start here
Use the proof pattern to choose one controlled first move.
The broad capability surface stays visible, while the first build remains narrow enough to verify.