First notice of loss collects information.
FNOL services have become commoditized by technology, so AiDE prices them like a commodity.
First notice of loss sits at the very front of the claim. A loss gets reported, and the job is to capture what happened — the policy it falls under, the facts as told, the details that follow. It collects information. It makes no judgment and decides nothing.
Every claim runs FNOL through the same four steps —
ingest, gather, ask, output.
Ingest the policy
Read the policy that governs the claim — coverage, terms, parties. All known before the loss is ever reported.
Gather the facts
Capture what happened, as reported. When, where, how. The facts of the loss, recorded.
Ask the follow-ups
Ask the questions the facts and the policy imply. The question set is derivable from inputs you already hold.
Reach the output
Hit a stopping point and produce the record. And the output goes nowhere — nothing cascades from it.
Bounded, repeatable, and derivable from known inputs. That's very low compute. AiDE prices every model by what it costs to run, so you shouldn't pay huge fees for a commoditized service.
Only pay for the data you move.
Priced on compute, not seats
You pay for what the model costs to run. Simplicity is reflected in your price.
No multi-year contract for a form
Commodity work doesn't justify locking you into a long-term decision in a market changing this fast.
Commodity prices for commodity work
Premium pricing stays reserved for the models that genuinely run heavy. FNOL isn't one of them.
Complex models can be genuinely hard work and require a level of intelligence on top. The compute runs heavier and is priced to match. See how we can migrate and understand entire claims portfolios.
See how AiDE prices your models.
An entire claims book,
migrated by LLMs.
The other end of the spectrum. Genuinely hard work with high compute. From a messy inherited portfolio to a clean, structured, AI-readable book.
A carrier inherits a claims portfolio from a legacy book — bordereaux in incompatible formats, claims buried across systems, and no clean way to move it or read it.
AIDE takes that inherited book through five steps — ingest, correct, structure, move, understand.
AiDE ingests
Every bordereaux and unstructured claims document ingested, whatever the format.
AiDE corrects
Errors caught and fixed at the source, improving data accuracy across the transfer.
AiDE structures
Claims data completely aligned to one clean, consistent schema.
AiDE moves
The whole portfolio transferred between platforms with no manual rebuild.
AiDE understand
AI insight across the entire claims portfolio, reducing leakage and transforming underwriting insights.
The carrier leverages AiDE solutions for their claims portfolio and goes live on a clean, structured, AI-readable book — without a multi-month rebuild.
AI insights across an entire claims portfolio can transform underwriting insights and drive materially better claims outcomes.
Data that actually moves
Across carriers, systems and platforms — without friction at every handoff.
Transfers without rebuilds
Migrate entire portfolios between platforms. Claims migration done properly.
Structured data at scale
Bordereaux and claims aligned, arriving clean and ready to use.
AI-powered insight
Understand the whole book instantly, on data the models can finally reach.
Modular claims solutions
Built and tested on real-world data. Just plug in.
Priced on compute cost plus
No licence fees. You pay for what moves, nothing more.
Where the work is simple, it's cheaper to run. See why we think First Notice of Loss is a commoditized product, and how it's priced like a commodity.
