How to Use AI in Claims Without Creating Bad Faith Exposure
This program provides claims professionals with a practical framework for using artificial intelligence in claims handling without increasing bad faith exposure. The presentation addresses why AI now matters in claims operations, where it can improve speed, consistency, and documentation, and where it can create or amplify delay, inconsistency, poor communications, and weak decision-making. The course explains the need for governance, human accountability, privacy controls, and audit trails before AI tools are used in claim files. It also reviews appropriate and inappropriate uses of AI throughout the claim lifecycle, including intake, summaries, chronologies, routing, diary support, routine communications, and investigation support, while identifying higher-risk areas such as denials, reservation of rights letters, valuation, reserve recommendations, SIU referrals, and claimant-facing automation. The program concludes with practical guidance on vendor selection, pilot programs, training, quality assurance, monitoring, and continuous improvement so that organizations can use AI in a disciplined, defensible, and fair manner. Fl Bar and DFS Approved for 1 Credit.
FREE to FDLA Members
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Speaker:
Frank Ramos - Partner -Goldberg Segalla