Vision Models for Enterprise Workflows

[Where vision models fit]

Document-heavy and visual workflows benefit when agents can read layout, tables, and imagery instead of plain text.

[Eranova approach]

Vision models convert scans and screens into reliable, structured data that agents can act on.

• Structure-aware extraction from PDFs, screens, and photos (beyond plain OCR).
• Grounds visual elements to business entities, fields, and labels for actionability.
• Quality gates for glare/blur plus confidence scoring before downstream use.

[Performance signals]

Track confidence distributions, error classes, and retry rates across document types.

• Docs per minute parsed: 1.2k+
• Manual checks reduced: 65%+

[Edge cases and controls]

Guardrails keep visual extraction reliable across messy inputs.

• Handle glare/blur with pre-processing and quality thresholds.
• Table detection and layout preservation for forms and statements.
• PII redaction and visual watermark detection before downstream use.

[Rollout guidance]

Incremental rollout builds trust with compliance and operations teams.

• Pilot on a small set of document types with high volume.
• Benchmark against human baselines for accuracy and speed.
• Phase in auto-posting once confidence and QA pass rates meet targets.