Industry

Insurance Software Development

Quotes, policies and claims that reconcile.

Insurance systems have a defining requirement: every decision must be explainable after the fact under the rules that applied at the time. A premium quoted last year has to be reproducible even though the rating rules have changed twice since.

That single requirement rules out a lot of otherwise reasonable designs. Rules embedded in code and deployed over the top of themselves cannot answer it, and neither can data that stores only current state.

We build quote and rating front ends, policy administration and mid-term adjustment, claims intake and tracking, document generation, and the reporting that regulators and reinsurers ask for.

Common challenges

What tends to go wrong

Rating rules change frequently and must be versioned with effective dates, because a policy is rated under the rules in force when it was written, not the rules in force today.Mid-term adjustments are where the complexity concentrates. A change of circumstances part-way through a policy has to reprice, calculate a return or additional premium, generate documentation and preserve the previous state, all consistently.Claims data is sensitive and often includes health or personal information, with retention obligations that outlast the policy itself.

How we address it

What we build instead

Rating rules live as versioned data with effective dates, and every quote records which rule version produced it. Reproducing an old quote becomes a query rather than an archaeology exercise, which is the only way to answer a complaint or an audit honestly.Policy state is event-sourced: adjustments are recorded as events that produce a new state rather than as updates that overwrite the old one. The full history of a policy is then available by construction.Sensitive claims data has explicit access rules with read logging, and retention is designed against the actual obligation rather than kept indefinitely by default.

Outcomes

What typically improves

Complaints and audits are answerable from the system: what was quoted, under which rules, and what changed since.Rating changes stop requiring a release, which means pricing can respond at the speed the market moves rather than at the speed of a deployment cycle.

Frequently asked questions

Can you integrate with our policy administration system?

Usually yes, with the PAS remaining the system of record while new work — quote journeys, portals, claims intake — sits around it. Many of these systems have limited integration surfaces, so the first step is establishing what is actually available rather than what the documentation suggests.

How do you handle rating rule changes?

As versioned data with effective dates, never as code deployed over the previous version. Each quote records the rule version that produced it. Without this you cannot reproduce a historical quote, which makes complaints and audits impossible to answer properly.

What about regulatory reporting?

We build so the underlying data supports it: complete history, reproducible calculations and full audit trails. We will not assert compliance with a specific regime on your behalf — that judgement belongs to your compliance function — but we make sure the evidence they need exists and can be produced.

Building for insurance?

Tell us how the operation runs today. We will tell you where software would actually help.

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