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Ken Deng
Ken Deng

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The 70% Time-Cut Blueprint: AI-Augmented Claim Review for Solo Adjusters

As a solo public adjuster, every new claim brings a stack of carrier letters, policy documents, and estimates. You spend hours extracting key facts, cross-referencing policy forms, and drafting settlement narratives — work that eats up 70% of your billable time. But with the right AI automation, you can cut that time dramatically and focus on strategy.

The Core Principle: AI as a Tiered Team

The key is to treat AI not as a single tool but as a four-role team: a Concierge (intake), Junior Associate (summary & core document ID), Paralegal (policy analysis & coverage matrix), and Quantity Surveyor (estimate drafting). This framework turns chaotic intake into a repeatable, professional pipeline where your job becomes quality control and final strategy — not manual data extraction.

One Tool to Anchor Your Workflow

A dedicated AI platform like Harvey gives you a secure “New Claim Intake” workflow. Connect it to your project management tool (ClickUp, Asana, or Monday.com) and set an automation: when files land in your Inbox, Harvey triggers a subtask called “AI Triage Review.” This creates a master “Claim File” template for every new case, pre-filled with structured fields.

The Blueprint in Action

A new claim email arrives. Harvey automatically extracts the loss description and policy form numbers (HO-3, CP 10 30), then creates a project entry with a one-paragraph loss summary and flagged declarations page. Within 15 minutes, you have a draft settlement framework ready for human oversight — without opening a single PDF manually.

Three Implementation Steps

1. Automate intake and triage. Configure Harvey to accept incoming claim documents and run an initial extraction: loss recap, policyholder info, core document identification. Link this to your project tool via API, setting an automation that creates a new task with pre-defined subtasks (e.g., “Policy Line-Item Analysis,” “Draft Master Estimate,” “Draft Settlement Narrative”).

2. Assign AI roles to analysis tasks. Open the subtask “Policy Line-Item Analysis” — attach the full policy PDF and the carrier’s initial estimate. Harvey’s “Paralegal” mode generates a coverage matrix and flags discrepancies. Then in “Draft Master Estimate,” attach scope documents and photos — the “Quantity Surveyor” mode produces a preliminary estimate with dwelling, contents, and ALE categories.

3. Assemble the settlement package. In the final subtask, Harvey compiles the recap, settlement demand (totals by major category), and a summary of coverage (affirming RCV on dwelling). Your only action: review, adjust tone to professional and firm, and submit. This step ensures the entire package is coherent, strategic, and ready for submission.

Key Takeaways

By offloading repetitive analysis to AI, you reclaim 70% of your time, produce consistent quality, and submit stronger claims faster. The workflow is repeatable, secure, and puts you back in the driver’s seat — focusing on client relationships and negotiation, not document grunt work. The blueprint works because it mirrors a full adjusting team inside your solo practice.

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