M2E Chicago, LLC
Illustrative public-adjusting discovery and evidence review

M2E CHICAGO, LLC

Measured facts. Clearer claims. Smarter workflows.

Explore how AI can help your team organize evidence, prepare claim documentation and keep work moving—with licensed adjusters in control.

Discovery proposal · Review draft

Built around the work you do.

From site inspections to client updates, we assess where better information and connected workflows could reduce repetitive work.

Claim assessment · illustrative photography

Claim assessment

Capture and organize inspection details, measurements and damage observations in a consistent, usable format.

Customer communication · illustrative photography

Customer communication

Draft clear, professional updates and summaries that keep policyholders informed throughout the claim.

Project visibility · illustrative photography

Project visibility

Bring key claim details, documents and status into one view so your team can stay aligned and move efficiently.

Facts and evidence-based decision-making.

AI suggestions remain subject to verification. Photographs alone do not establish exact dimensions, cause or coverage.

Measured dimensions and quantities

Photographs and observed conditions

Records linked to their original source

Review by the responsible adjuster

One claim. One shared view.

A consolidated view of a claim with key information, communications, documents and next steps.

Organized documents

Inspection notes, photos, measurements and key files in one place.

Source-linked summaries

Concise updates from emails and claim activity, tied to the original source.

Clear next actions

A focused list of next steps to keep the claim moving.

Our process. A practical path forward.

A proposed six-week assessment of your people, processes, systems and AI opportunities.

Week 1

Discover

Confirm objectives, participants, confidentiality and approved access.

Output: Engagement charter and access plan.

Weeks 1–2

Observe

Follow real claims, field inspections, estimating and customer communication.

Output: Current-process maps and baseline measures.

Weeks 2–3

Map

Review claim systems, email, data flows and sharing rules.

Output: System inventory and integration feasibility.

Weeks 3–4

Evaluate

Screen AI opportunities, data readiness, review roles and selected test criteria.

Output: Portal requirements and AI evaluation plan.

Week 5

Design

Compare solution options, screen concepts, costs and release priorities.

Output: Target options and business case.

Week 6

Recommend

Deliver the findings, prioritized roadmap and implementation decision brief.

Output: Implementation roadmap and handover.

Know what to build. And why.

US $15,000 fixed-fee discovery & AI readiness assessment.

80

Candidate efficiency checks

10

Defined study deliverables

Implementation

Scoped separately

One claim. One connected workspace.

Illustrative concept only. No live claim data, uploads or messages.

M2EOverviewField RecordsDocumentsEmailTasks

Sample claim

Property damage · Review workspace

Illustrative data

New field record

Illustrative field inspection

Room photos & field notes

Received · Awaiting review

AI email summary · Draft

  • New inspection photos received
  • Measurement clarification requested
  • Estimate review pending

Confirm the summary against its sources.

Proposed priorities

Chicago skyline at dusk

Clarity before implementation.

US $15,000 fixed-fee discovery & AI readiness assessment

Implementation, hosting and ongoing support are separately scoped.