Know what moved in the book, and why.

Insurers and brokers keep their business in policy administration, claims and finance systems that rarely agree with each other. Seamore works on top of them, maps their records to one company model and watches it for unusual movements, so underwriting, claims and finance teams start from the same numbers and can explain them.

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Where it hurts

01
Systems that do not agree
Policy, claims and finance records count the same business differently, so every report starts with a reconciliation.
02
Movements are noticed late
A rise in claims from one region or product line shows up in the monthly report, weeks after it began.
03
Every figure needs its reasoning
Supervisors, reinsurers and the board expect the reasoning behind a number, not just the number.

What it looks like in practice

An illustrative example, not a customer case. Each step names the capability involved and its status on the Capabilities page.

Step 01
A movement flagged
Claims on one product line in one region rise well above their usual level, and the anomaly arrives with the records behind it.
Insights and anomaly monitoringAvailable
Step 02
Questions answered
The claims lead asks which partners and policy types the new claims come from, and gets the answer in plain language.
Data ChatAvailable
Step 03
Options compared
Underwriting models a premium adjustment against tighter terms for the region, with every assumption written down as an atom.
Scenario BuilderAvailable
Step 04
Board briefed
A briefing sets out the movement, the options and the reasoning behind them, and states plainly what data was missing.
Report GeneratorAvailable

How Seamore helps

Each capability carries its current status, the same as on the Capabilities page.

Semantic mapping and cleaningAvailable
Fields from policy, claims and finance exports are mapped to business meaning, and duplicate clients and partners resolve into one record.
Insights and anomaly monitoringAvailable
Anomaly monitoring watches the tables you connect and flags unusual values and stale data feeds, with the evidence attached.
Data ChatAvailable
Ask which products, regions or partners drove claims this month and get the answer from company data, with read-only access scoped to your company.
Scenario BuilderAvailable
Model a premium change, a new distribution partner or a rise in claims frequency as atoms, and see what moves in the outcome.
Signals and key voicesPartial
News and market developments relevant to your lines of business, from severe weather to regulatory change, ranked next to your own data.
Report GeneratorAvailable
Briefings for management and the board, built from the data and written to disclose missing information rather than fill it in.
Compliance integrationsPartial
Regulatory context from public sources such as ASF, next to the business it affects. Coverage varies by country.

Built for regulated data

Separate data per organization: Each organization’s data is held in its own database schema, apart from every other customer.
Read-only questions: Data Chat answers questions about the data without changing it.
Agents within set limits: AI agents work within the instructions, scope and permissions you give them, with a record of what they did.
Approvals before action: Automations can stop for a person’s approval before work continues.

Works from the data you already have

Seamore connects directly where a connector exists and imports the rest from databases and file exports. It works on top of your systems, not instead of them.