On December 11, Super.ai hosted the Flows Launch Webinar, led by Brad Cordova (Founder & CPO) and Maxwell Warner (Senior Solutions Engineer).
The session delivered a practical, hands-on look at AI-powered document workflow automation, focused on real-world use cases across logistics, operations, financial services, insurance, and real estate.
Flows is Super.ai’s Workflow Intelligence Platform, designed to help teams automate document-heavy processes with accuracy, validation, and auditability—not just extraction.
This recap covers the key ideas, product capabilities, and live demo that showed how Flows converts documents into auditable truth.
The webinar opened with a key insight:
document automation has not kept pace with modern AI.
Legacy OCR and IDP systems struggle because:
Despite advances in AI, many teams still rely on manual review and fragile automation, creating risk, delays, and cost.
The breakthrough isn’t better OCR—it’s AI agents that combine automation, validation, and intelligence into a single system.
That’s the foundation Flows is built on.
Flows is designed around a simple principle:
Documents are only valuable when their data is trusted.
Rather than producing raw extracted text, Flows delivers validated, compliance-ready outputs with full traceability—so teams can rely on their workflows without second-guessing results.
Flows provides a clean, intuitive interface where teams can:
Unlike traditional automation tools, Flows is built for high-volume, high-stakes document workflows where accuracy and auditability matter.
Supply Chain
Logistics
Financial Services
Insurance
Real Estate
The webinar highlighted several key product capabilities:
Flows is not an OCR tool, an iPaaS platform, or a data repository.
It is purpose-built AI workflow automation designed for real operational complexity.
A major highlight of the session was a live end-to-end workflow build, completed in under 20 minutes.
The workflow was created directly from a text prompt—eliminating weeks of setup.
Flows ingested documents instantly, handling layout and format variability through multi-model routing.
Rather than stopping at extraction, Flows validated values using reference data, calculations, and logic—automatically flagging errors.
This demonstrated the difference between OCR-based extraction and true workflow intelligence.
Attendees saw live accuracy metrics and how Flows improves over time as it processes more documents.
Even with messy, partially unreadable documents, Flows detected anomalies through validation—resonating strongly with operations teams.
The webinar reinforced several important points:
Flows enables teams to automate faster, reduce errors, and trust their outputs—across industries and use cases.
Backup link: https://youtu.be/beTApgQ9ONc?si=_KFbquoTbsJbQdFZ
