Button Text
Home
arrow
Blog
arrow
Data Extraction
Dec 12, 2025
Min Read

Webinar Recap: How Flows Automates Document Workflows With AI

Share on TwitterShare on Twitter
Share on TwitterShare on Twitter
Share on TwitterShare on Twitter
Share on TwitterShare on Twitter
Brad Cordova
Chief Technical and Product Officer
SUMMARY

How Flows Automates Document Workflows With AI Validation

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.

Why Traditional Document Automation Falls Short

The webinar opened with a key insight:
document automation has not kept pace with modern AI.

Legacy OCR and IDP systems struggle because:

  • Real-world documents are inconsistent and unstructured
  • Template-based systems require heavy manual setup
  • Most tools improve incrementally rather than fundamentally

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.

Converting Documents Into Auditable Truth

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.

What Is Flows? A Workflow Intelligence Platform

Flows provides a clean, intuitive interface where teams can:

  • Classify and ingest documents
  • Extract and structure data
  • Apply validations and business rules
  • Build multi-step workflows using natural language prompts

Unlike traditional automation tools, Flows is built for high-volume, high-stakes document workflows where accuracy and auditability matter.

Common document workflows by industry

Supply Chain

  • Invoices, purchase orders, packing lists

Logistics

  • Bills of lading, freight bills, delivery confirmations

Financial Services

  • P&Ls, tax filings, bank statements

Insurance

  • Claims, estimates, loss documentation

Real Estate

  • Applications, leases, insurance certificates

Business outcomes teams see

  • Cost reduction: fewer manual hours and errors
  • Risk reduction: validation, compliance, audit trails
  • Revenue acceleration: faster processing and time-to-value

What’s New in Flows: AI Agents and Validation

The webinar highlighted several key product capabilities:

  • Agentic workflow builder using natural language
  • Validation workflows for calculations, references, and cross-document checks
  • Multi-model orchestration for speed and accuracy
  • Continuous learning as models improve with usage
  • Industry-specific workflows for operations-heavy teams

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.

Live Demo: Building a Document Workflow in Minutes

A major highlight of the session was a live end-to-end workflow build, completed in under 20 minutes.

Step 1: Build workflows using natural language

The workflow was created directly from a text prompt—eliminating weeks of setup.

Step 2: Document ingestion

Flows ingested documents instantly, handling layout and format variability through multi-model routing.

Step 3: Extraction with validation

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.

Step 4: Accuracy and throughput

Attendees saw live accuracy metrics and how Flows improves over time as it processes more documents.

Step 5: Handling edge cases

Even with messy, partially unreadable documents, Flows detected anomalies through validation—resonating strongly with operations teams.

Key Takeaways on AI Document Workflow Automation

The webinar reinforced several important points:

  • Manual document review does not scale
  • OCR alone cannot deliver reliable automation
  • Validation is essential for accuracy and compliance
  • Modern workflows can be deployed without templates
  • End-to-end document automation delivers measurable ROI

Flows enables teams to automate faster, reduce errors, and trust their outputs—across industries and use cases.

Watch the Webinar Recording



Backup link:
https://youtu.be/beTApgQ9ONc?si=_KFbquoTbsJbQdFZ

Next steps:

Ready to see Flows by super.AI in action?

Request a Demo to see how AI can eliminate bottlenecks and accelerate your operations.

Request Demo
Arrow-right
Other Tags:
Data Extraction
Workflow Optimization
Share on TwitterShare on Twitter
Share on FacebookShare on Facebook
Share on GithubShare on Github
Share on LinkedinShare on Linkedin

You might also like