> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcara.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# SOV & COPE Analysis

> Build or verify a complete Statement of Values for any property portfolio — from a full document set or a list of addresses.

### How it works

<Frame caption="SOV & COPE Analysis">
  <img src="https://mintcdn.com/oystertechnologiesinc/PY1gFhJpMuuYvPFQ/images/Screenshot2026-03-06at12.16.36PM.png?fit=max&auto=format&n=PY1gFhJpMuuYvPFQ&q=85&s=ac3ce007807d45abf79ef28af23b5c1d" alt="Screenshot2026 03 06at12 16 36PM" title="Screenshot2026 03 06at12 16 36PM" className="mx-auto" style={{ width:"53%" }} width="626" height="428" data-path="images/Screenshot2026-03-06at12.16.36PM.png" />
</Frame>

SOV & COPE Analysis creates a complete, source-cited Statement of Values for insurance underwriting. It gathers Construction, Occupancy, Protection, and Exposure information for every building and unit at the submitted addresses — using your documents as the starting point and web research to fill gaps and verify what you were given.

This preset is useful any time you're working with a residential address, a multi-location commercial account, a property portfolio, a condo association, or any risk where organized, verified property data is needed for underwriting.

<Steps>
  <Step title="Select a use case">
    Choose the use case that matches your starting point:

    * **Internal Docs Only** — Cara reads, organizes, and normalizes the data in your uploaded documents without running any web searches. Fast and useful for cleaning up or standardizing an existing SOV.
    * **Verify & Enrich** — Uses your documents as the baseline, then goes to the web to verify and fill gaps in the COPE data. Cara cross-checks addresses against public property records, confirms construction details, and looks up fire station distances, flood zones, and ISO PPC ratings.
    * **Investigate New Addresses** — For when you only have addresses and need to build the COPE data from scratch. Provide the addresses in the notes field and Cara researches them.

    <Tip>
      **Verify & Enrich** is the most common workflow — most submissions come in with partial information, and this use case is specifically designed to fill those gaps with verified, cited data before the file goes to an underwriter.
    </Tip>
  </Step>

  <Step title="Upload documents">
    Upload any documents you have — existing SOV spreadsheets, property schedules, dec pages, appraisals, or lease lists. For **Investigate New Addresses**, documents are optional; just paste the addresses in the notes field.

    <Note>
      If your documents and public records conflict on a data point — for example, different year-built dates — Cara will note both and flag the discrepancy rather than silently choosing one.
    </Note>
  </Step>

  <Step title="Add notes">
    Use the notes field to add specific addresses to research or provide context about the property or portfolio. For **Investigate New Addresses**, this is where you paste the addresses you want Cara to research.
  </Step>

  <Step title="Configure output format">
    **Output as Excel** produces a multi-tab spreadsheet with an Overview tab (one row per building or address with all COPE data) and five additional tabs — one each for Construction, Occupancy, Protection, Exposure, and Valuation. This format is ready to attach directly to a submission.

    Leaving this unchecked produces a Markdown table output in the conversation, which is faster and includes inline confidence citations.

    <Tip>
      If you're sharing the SOV with an underwriter, use the Excel output. If you're reviewing it internally or have follow-up questions for Cara, the Markdown output is faster and includes confidence indicators and source citations.
    </Tip>
  </Step>

  <Step title="Review findings">
    The output begins with an overall data completeness indicator — ✅ Complete, ⚠️ Partial, or ❌ Limited — so you know immediately how much of the property data was verified.

    For each property, Cara gathers:

    * **Construction** — Type, year built, exterior material, square footage, stories, foundation, roof type, interior finishes, HVAC type and age, electrical type
    * **Occupancy** — Occupancy type, tenant roll with risk indicators for high-risk tenants (restaurants, cannabis dispensaries, auto repair, hazardous materials storage)
    * **Protection** — PPC/ISO rating, fire station name and distance, sprinkler system, smoke detectors, security system
    * **Exposure** — Flood zone designation, lot size, zoning, water and sewer
    * **Valuation** — Current market or assessed value

    The output also includes a notes section covering data limitations, research issues, assumptions made, possible past losses, and additional context.

    <Note>
      Uncertain data is left blank rather than estimated. Any field Cara couldn't verify is flagged with an explanation. You won't receive confident-looking data that isn't actually confirmed.
    </Note>
  </Step>

  <Step title="Next steps">
    From here, you can:

    * Ask Cara follow-up questions about specific properties or data points
    * Request additional research on flagged addresses or tenant occupancies
    * Attach the Excel output directly to a submission
    * Run **Risk Matching** to find the right carriers for the property portfolio
  </Step>
</Steps>

***

### Tips for best results

* **Address-only mode requires no documents at all.** If you receive a portfolio of properties from a prospective client and only have a spreadsheet of addresses, use **Investigate New Addresses** and paste them in the notes field.
* **The tenant roll matters for underwriting.** Restaurants with commercial cooking, cannabis dispensaries, auto repair shops, hazardous materials storage, and other high risk tenants are identified as high-risk occupancies. Cara flags these with a risk indicator — if one is present in a mixed-use building, it changes the underwriting profile.
* **Cara maps the property structure before researching individual units.** She identifies how many buildings exist, whether any are connected, and what the overall square footage represents — then searches for units systematically to make sure nothing is missed.
* **The Excel option takes meaningfully longer to generate.** If you're reviewing internally or need a quick answer, the Markdown output is the faster choice.
