Software for brokers, agencies and MGAs

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Not carrier core systems. The operational layer that intermediaries run on — quoting, binding, claims intake and renewals — for organisations of ten to a few hundred people.

Where the time goes

Quoting

Rekeying the same client details into four carrier portals. Where carriers offer an interface we integrate; where they do not, we cut the retyping down to one entry and a review.

Renewals

The book you already have is the book most likely to lapse unnoticed. A ranked renewal pipeline with early warning is usually the highest return on anything we build for a broker.

Claims intake

A structured first notice with the documents attached, so the file starts complete instead of accumulating over a fortnight of emails.

Commission reconciliation

Statements from multiple carriers matched against what you expected. Almost always manual, almost always finds money.

Renewal retention

Clients who leave show it beforehand — a claim handled slowly, a mid-term change that went badly, a premium increase not explained before it landed. Those signals are in your own records. A ranked list of at-risk renewals, seen six weeks out instead of on the day, is a small piece of software with a disproportionate effect.

On automated decisions

Nothing we build declines a claim or a customer on its own. Systems flag, rank and prepare; a person decides, and the reasons are recorded. Whatever your view of the ethics, an automated decline you cannot explain is a regulatory problem waiting to be scheduled.

Bilingual books

For agencies with Spanish-speaking clients, policy summaries, claim instructions and renewal notices need to be accurate in both languages, off one set of records.

Start with renewals

It is measurable within one cycle.

The Next Phase of Insurance AI in the US

Usage-based and parametric insurance products are moving from niche to mainstream as telematics and IoT data become more available. SmartNet is building the pricing infrastructure carriers need to launch these products without a multi-year systems overhaul.

State-level AI regulation in insurance underwriting is tightening, particularly around explainability and bias testing. SmartNet builds models with that regulatory scrutiny in mind from the start, rather than retrofitting compliance later.

Talk to SmartNet LLC about applying AI to underwriting precision and claims speed in a regulated US insurance market.

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