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Amendment_No_2_to_AON_CSA_dated_July_1_2020
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Amendment_No_2_to_AON_CSA_dated_July_1_2020
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4/7/2026 12:46:51 PM
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CM City Clerk-City Council
CM City Clerk-City Council - Document Type
Agreement
Document Date (6)
2/4/2026
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PERM
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<br /> <br />Aon Proprietary and Confidential 2 <br />Prepared for: <San Leandro> <br />3. Project Losses Paid. Project losses paid during each fiscal year from 2025/26 through 2026/27. <br />The projected losses paid are the claim disbursements during each fiscal year from 2025/26 through <br />2026/27, regardless of accident or report date. The amounts are limited to the self-insured retention. <br /> <br />4. Size of Loss Distribution Analysis. Analyze the distribution of losses in various layers. <br /> <br />5. Affirm GASB Statement No. 10. Provide a statement affirming the conclusions of this report are <br />consistent with Governmental Accounting Standards Board (GASB) Statement No. 10. <br />These actuarial services will result in the production of the following deliverables: The conclusions of our <br />work will be in a written report for Client. The report will be designed to be easily understood by non- <br />actuaries. It will contain a technical section with sufficient information to support all conclusions and <br />facilitate future analysis. <br /> <br /> <br />Project Approach <br />1. Participate in a discussion with Client to learn about its self-insured program. <br /> <br />2. Submit a written data request to Client. <br /> <br />3. Gather and compile data provided by Client. We will review the data for reasonableness. Anomalies (if <br />any) will be identified. If requested, we can obtain data directly from the claims administration firm(s). <br /> <br />4. Discuss large individual claims with Client. Large claims can have a disproportionate impact upon the <br />actuarial analysis. We want to be certain we fully understand the large claims. <br /> <br />5. Develop estimates of claim costs for 2025/26 and 2026/27. <br /> <br />The estimates will be based on Client ’s own data to the extent it is a good predictor of future activity. To <br />the extent Client’s loss data is not a good predictor, our projections will reflect other similar programs <br />with which we are familiar. <br />Based on our experience, we have found that insurance industry statistics are often not applicable to <br />public entities. This is because insurance industry statistics reflect a wide range of diverse risks (public <br />entities are much more homogeneous). Public entities tend to manage claims very carefully. Therefore, <br />reporting and payout patterns differ from insurance industry statistics. <br /> <br />For the above reasons, we will apply insurance industry statistics judiciously. <br />Docusign Envelope ID: 5622207C-0656-4914-A354-B2777DE998A0
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