A technical course for the dev team on maintaining US data standards. Covers handling PII (Personally Identifiable Information), SOC2 compliance, and state-specific regulations like CCPA when processing estimate data.
- Teacher: Admin User
Katalyst Alliance University Admin
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Available courses
Understanding the "Total Loss" threshold (75-80% of ACV in most states). Learn how Katalyst's AI helps shops determine early in the process if a vehicle is repairable or a total loss to save time and resources.
- Teacher: Admin User
Supplements are where most revenue is lost. This course teaches how to use AI-generated audit reports to justify supplemental repairs and labor hours to insurance adjusters effectively.
- Teacher: Admin User
Analyzing how Katalyst serves different shop models. This course explores the contractual obligations of DRP shops and how independent shops use AI to defend their labor rates against carrier pushback.
- Teacher: Admin User
An overview of the US insurance market, focusing on First Notice of Loss (FNOL), liability types (comprehensive vs. collision), and the lifecycle of a claim from estimate to payment.
- Teacher: Admin User
Using AI to compare current estimates against historical "perfect" estimates to automatically suggest missing line items that shops often overlook.
- Teacher: Admin User
How to build and maintain the logic that flags inconsistencies, missing operations, and undervalued labor rates in real-time audits.
- Teacher: Admin User
A foundational course explaining how Katalyst identifies missed line items and labor rate gaps in collision repair estimates to maximize shop revenue.
- Teacher: Admin User
Understanding the three major estimating platforms. This course covers the proprietary data structures and terminology used by insurance carriers and repair shops.
- Teacher: Admin User
Technical deep-dive into the PDF parsing pipeline for CCC, Mitchell, and Audatex files. Learn how the system extracts raw data into structured formats.
- Teacher: Admin User