01
Ingest policy documents
Upload declarations pages, policy PDFs, endorsements, schedules, and broker notes. Extract providers, terms, premiums, deductibles, limits, riders, exclusions, and named entities into structured fields.
Labs concept memo
Insurance, made legible.
A concept for a private control panel that turns scattered policies, brokers, premiums, deductibles, riders, and overlapping coverage into one readable system, so people can understand what they have, see where money is leaking, and make cleaner decisions.
Problem
Most insurance portfolios become opaque long before they become optimized.
Over time, people accumulate policies across homes, autos, liability, umbrella, business operations, equipment, property, and specialty risks. Different brokers enter at different moments. Policies are renewed, amended, and layered. Premiums continue to be paid, but the total structure becomes increasingly difficult to read with confidence.
The result is familiar: uncertainty about true coverage, suspicion of redundancy, and no clean way to test what could be consolidated, shifted, or eliminated.
Decision pressure
The questions people should be able to answer, but usually cannot.
What am I actually covered for across all active policies?
Where am I likely paying for overlapping or unnecessary coverage?
Which risks are thinly covered, ambiguously covered, or not covered at all?
What can be moved, consolidated, or restructured before I call a broker?
How would deductible or limit changes alter cost and exposure?
Product shape
What the app would do.
02
Normalize the stack
Translate scattered policy language into one consistent coverage map, showing which assets, locations, entities, and risks are being covered where, by whom, and under what conditions.
03
Surface the whole picture
Present total annual premium, active policies, renewal timing, provider relationships, coverage by asset class, and visible overlap or gap areas in one at-a-glance view.
04
Model possible changes
Let users test scenarios in a sandbox, such as shifting assets, changing deductibles, or comparing alternate structures before taking concrete options back to their broker or advisor.
Interface
A calm dashboard, not a legal labyrinth.
The value of the app is not theatrical complexity. It is a private system that makes an insurance portfolio readable. The interface should feel more like an elegant financial control panel than an overloaded insurtech gimmick.
Coverage dashboard
- Total annual premium across all policies
- Active policies and renewal timing
- Coverage categories, limits, and deductibles
- Assets, locations, and named entities tied to policies
Overlap and gap review
- Potential duplicate coverage
- Coverage that appears absent or uncertain
- Policies that may exist mostly through inertia
- Areas that deserve broker follow-up
Scenario sandbox
- Deductible and limit sliders
- Asset-move simulations
- Comparative premium and exposure views
- Notes and questions to carry into review meetings
Why it matters
Useful for households, businesses, and the advisors who serve them.
For complex households
Multiple homes, vehicles, property classes, and specialty policies often create exactly the kind of fragmented stack that becomes expensive and hard to understand.
For business owners
Insurance portfolios grow in layers. What begins as prudent coverage can become a patchwork of overlapping policies, partial visibility, and uncertain total exposure.
For brokers and advisors
The same system could become a far better review surface, helping broker and client discuss the same reality rather than decoding PDFs together in real time.
Product posture
This should not pretend to replace professional judgment.
The strongest version of this idea is not “AI replaces your broker.” It is a decision-support layer that makes policy structures understandable, exposes inefficiencies, reveals ambiguity, and helps people ask sharper questions before making real changes.
That is a more credible promise, and probably a more valuable one.
V1
Start with clarity. Add optimization later.
A strong first version would focus on document upload, structured policy summaries, premium rollups, coverage-by-asset mapping, overlap and gap flags, renewal tracking, and broker-question notes. Scenario modeling can come next, once the system already provides reliable visibility.