Submission intelligence for brokers & underwriters

Every document in the submission, read together.

Applications, loss runs, quotes, policies and endorsements. Purview reads every page, connects what each document says to the others, and gives you answers and checks you can stand behind, each one tied to the page it came from.

  • Page-cited answers
  • Cross-document checks
  • Works across carriers
Submission · Cyber renewal
Northwind Dental Group
4 findings to review
Application
ACORD 125, 140
Loss runs
5 years · 2 carriers
Expiring policy
+ 3 endorsements
Quotes
3 carriers
  • Conflict
    Application says no prior privacy claims
    The 2023 loss run shows a closed privacy claim, $42k paid.
    App p.4Loss runs p.3
  • Loss history
    2 claims in 5 years, 1 still open
    $184k incurred; the open claim is reserved at $60k.
    Loss runs p.2–5
  • Quote difference
    Carrier B excludes vendor breaches
    Carriers A and C cover them under network security liability.
    Quote B p.7Quote A p.5
  • Renewal change
    Retention rises from $10k to $25k
    All three quotes raise it; Carrier C keeps the same limit.
    Policy p.1Quotes
For agents & brokers

From first submission to renewal, the questions on your desk.

Is this submission ready to market?

Check the application against the loss runs, schedules and expiring policy. Catch gaps and contradictions before an underwriter does.

What do the loss runs really show?

Five years from several carriers, summarized: frequency, severity, open reserves and the trend, with every figure traced to its page.

Which quote is actually best?

Line up premium, limits, retentions and the wording that differs, without flattening what makes each carrier's offer different.

What changed at renewal?

Compare expiring and renewal terms clause by clause. See where a definition narrowed, a sublimit moved, or an exclusion appeared.

Am I covered if…?

Answer client questions in minutes, with the insuring agreement, definitions, exclusions and conditions that decide it.

Can you show your work?

Every answer keeps its trail: the documents used, the pages cited, the changes applied. That is the record you want if an E&O claim ever comes.

For underwriters

Triage faster, and decide with the whole file in view.

Is this submission complete?

Find what's missing or inconsistent across the application, loss runs, schedules and supplementals before you open the file.

Does it fit our appetite?

Check class, exposures, locations and limits against your guidelines, and flag what needs a referral.

What's the real loss picture?

Loss runs from several carriers in one view: frequency, severity, open reserves and development, each figure traced to its page.

What isn't the application saying?

Cross-check answers against loss runs, inspections and prior policies to surface contradictions and red flags.

How does the renewal compare?

See exactly what changed from the expiring: exposures, terms and wording, clause by clause.

Can I document the decision?

Every finding keeps its sources and pages, so referrals, audits and file notes come with the evidence attached.

How it works

More than PDFs pasted into a chatbot.

Generic AI tools read documents once, as text, and hope the important part fit. Purview turns each document into structure first, then lets AI reason across all of them.

  1. 01

    Reads every document

    Applications, loss runs, quotes, policies and schedules are parsed with their layout and tables intact, not skimmed as a wall of text.

  2. 02

    Understands each one

    It pulls out what each document carries: application answers, claims and reserves, premiums and limits, policy clauses. Every value is checked against the PDF.

  3. 03

    Connects them

    Facts are linked across documents: the application to the loss runs, each quote to the others, the expiring policy to the renewal.

  4. 04

    Gives the AI real tools

    The assistant queries that structure and opens pages to quote them, instead of guessing from whatever fit in its context window.

Policies & endorsements

It knows what changed, and when.

An endorsement rarely makes one change. Purview finds each instruction, quotes it, checks the quote against the PDF, and applies it to the clause it targets. You see the before, the after, and everything the change touches.

Section II · Definitions
Base form p.6→End. 7 · p.22

“Computer System” means any computer hardware, software, and associated input and output devices owned or leased by the Insured Organization owned or leased by the Insured Organization, or operated for the Insured Organization by a third-party service provider under a written contract.

Instruction, quoted

“The definition of Computer System is deleted and replaced with the following…”

Reaches

Insuring agreements A, B and D, plus 2 exclusions that use this term

Policy graph

A map of how the policy actually works.

Coverage depends on a chain of clauses: a grant that references a definition, a definition an endorsement amended, an exclusion that may or may not apply, a condition you must meet. Purview models those links and follows them the way a coverage specialist would.

referencesexcludesgatesamendsINSURING AGREEMENTB · Network SecurityDEFINITIONComputer SystemEXCLUSIONContractual LiabilityCONDITIONNotice within 72 hrsENDORSEMENT 7Vendor SystemsCOVERAGE STATECovered · conditional
Tool-using AI

Your assistant works the file, not just reads it.

Instead of stuffing pages into a prompt, the AI calls purpose-built tools: analyze coverage, open a page, compare carriers, or ask you which document you meant. Long analysis runs as a durable job, so nothing is lost if it takes a few minutes.

Are they covered if their scheduling vendor is breached?
  1. Checks which policy you meanask_user_question

    Expiring 2025 form or the 2026 renewal? You pick: 2026 renewal.

  2. Walks the coverage graphanalyze_policy_coverage

    Grant B, 1 amended definition, 1 exclusion ruled out, 1 notice condition.

  3. Opens the page to quote itread_policy_text

    Reads p.22 for Endorsement 7’s exact wording.

  4. Drafts your replyanswer

    Plain-English answer with every clause cited by page.

The difference

Why not just ask a chatbot?

PDF in a chatbot
Purview
Large submissions
Truncated or skimmed
Every document parsed, tables included
Across documents
Each file read on its own
Application, loss runs, quotes and policy checked against each other
Endorsements
Read as more text, often missed
Applied in order, with before and after
Citations
Sometimes, and unverified
Every figure and quote checked against the PDF, with page
Ask twice
Can get two different answers
Same documents, same evidence, same answer
When it’s unsure
Answers anyway
Marks the result provisional and asks you first

Spend less time reading paperwork, and more time on the decisions that matter.

Bring a submission you know well and ask it the hard question. See what comes back.

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