AI is showing up in nearly every vendor conversation. But for carriers, the real question is not whether a platform “has AI.” It is whether that AI is secure, explainable, cost-conscious, human-reviewed, and built for the realities of claims.
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When a vendor says they “use AI,” that should be the beginning of the conversation, not the end of it.
AI can help carriers reduce repetitive work, summarize information, support correspondence, improve routing, and give examiners more time to focus on complex claims. But it can also introduce new questions around data security, model training, infrastructure cost, oversight, compliance, and accountability.
In claims, those questions matter. Claims teams work with sensitive information, regulatory requirements, and people who may be navigating some of the most difficult moments of their lives. AI should support that process without creating unnecessary risk or removing the human judgment and care that claims require.
This guide helps carriers ask better questions before bringing AI deeper into the claims process.
AI demos can look impressive. A tool may summarize a file in seconds, draft correspondence, recommend next steps, or promise faster cycle times. These are all great things, but carriers need to understand:
Claims data can include PHI, PII, financial details, medical history, and beneficiary information. Carriers need to know what information is sent to the AI model, where it goes, and whether it is used for training.
AI can assist, but claims decisions still need to be reviewed, explainable, and defensible. Carriers should know where humans stay in the loop and how examiners can review, override, or reject AI outputs.
AI usage may be tied to tokens, credits, prompts, document volume, model calls, or compute. Without the right architecture, costs can grow quickly as usage increases.
AI expertise matters, but claims expertise matters too. Vendors should understand workflows, compliance pressures, examiner needs, claimant expectations, and the operational realities of insurance.
This guide walks through 12 questions carriers should ask vendors when evaluating AI capabilities in claims, along with why each question matters and what a strong response should include. Inside, you’ll learn how to ask vendors about:
Download the guide to get a practical checklist your team can use in vendor conversations, internal planning sessions, and AI strategy discussions.
