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Michael Paczolt

ACAS, FCAS, MAAA
Principal & Consulting Actuary
Chicago, IL, US

Mike Paczolt is a principal in the Chicago Property & Casualty Practice of Milliman. He joined the firm in 2007.

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Experience

Mike manages Milliman Nodal®, a comprehensive property, and casualty claim analytics platform that uses AI to identify claims for early intervention to manage and reduce claim costs optimally.

Mike also practices as an actuary for insurers, captives, self-insured/large-deductible programs, pools, MGAs, and start-up ventures. Mike's expertise is in property and casualty insurance, including workers' compensation, professional liability, general liability, auto liability, products liability, warranties, extended warranties and service contracts, and other unique risks.

Publications

Read their latest work

Article

損害保険の保険金請求AI構築における間違いトップ５

08 May 2024 - by Michael Paczolt
損害保険会社が保険金請求のための人工知能を構築する際に犯しがちな5つの間違いについて調査し、既製のソリューションを調達する利点についてお伝えします。
Article

業界調査：AIで保険金処理部門の課題に対応

19 March 2024 - by Michael Paczolt, Matthew Murray
大規模言語モデルを採用することで、保険金処理部門はAIを利用して精度を向上させ、専門家をより複雑な業務に集中させることが可能になります。
Article

Elevate workers' comp claims with medical benchmarking

14 November 2023 - by Michael Paczolt
In workers' compensation, medical claim benchmarking provides clarity on where an organization stands, and offers insights on areas for targeted improvement.
Article

保険金請求管理における大規模言語モデルについて知っておくべきこと

30 August 2023 - by Michael Paczolt
保険会社は、大規模言語モデル（LLMs）の強みを活かすことで、様々な課題を抱える現在の市場で競争優位性を獲得することができるでしょう。
Article

8 steps to a successful AI adoption strategy for claims departments

10 April 2023 - by Michael Paczolt
We outline eight steps for companies to integrate AI in their claims processes, potentially leading to substantial improvements in efficiency and productivity.
Article

第三者賠償責任訴訟の財政支援におけるNLPとAIの役割：保険会社は、どうしたらデータ分析を対象分野に生かすことができるか？

10 April 2023 - by Michael Paczolt
第三者賠償責任訴訟の財政支援（third-party litigation funding、TPLF）に対処するために、保険会社は、保険金請求の扱いや戦略に関し、情報に基づく決定をするためのデータおよび分析への投資が可能です。
Article

Using group health data and AI to benchmark medical costs in workers’ compensation: Frequently asked questions

23 February 2023 - by Michael Paczolt
Thanks to advances in artificial intelligence (AI) and predictive analytics, as well as accessibility to group health data, workers’ compensation payers can quickly identify opportunities to lower claim costs through the right treatment plan, the right provider to execute the treatment plan, and the right price.
Article

Using predictive analytics and AI in insurance claims

25 January 2023 - by Michael Paczolt
Learn how to improve the outcome of your claims by integrating your data with AI.
Article

人工知能および機械学習を用いて、どのようにリスクの総コストを引き下げるのか

23 July 2022 - by Melissa Huenefeldt, Michael Paczolt
本稿では、構造化・非構造化データフィールドから総合的な請求データを集めるために、人口知能および機械学習をどのように使用して、複合的問題を解決し、リスクの総コストを引き下げるのかについて論じます。
Article

Medical benchmarking: Comparing WC claims to group health to lower your medical costs

20 June 2022 - by Michael Paczolt, Juliet Spector
With medical expenses in workers’ compensation continuing to rise, data is the key to developing reliable frameworks to understand and benchmark the costs.