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INDUSTRIES — WHERE WE WORK

Insurance.

Claims, underwriting, and servicing — high volume, high scrutiny. We embed as your in-house execution team.

Insurance
THE GAP

The operating reality.

THE GAP

  • Insurance carriers and insurtechs fight the costly tension between rapid claim settlements and underwriting loss leakage.
  • We embed for automated claims adjudication, risk scoring, fraud review queues, and policy operations — with explainability designed in.
WHY CHOOSE IAASTHA

Built for desk velocity and strict statutory audits.

01Embedded in actuarial & claimsWe build directly alongside underwriters, claims adjusters, and fraud examiners.
02Loss-ratio ownedTied directly to combined ratio reduction, loss-adjustment expense, and cycle times.
03Explainable adjudicationEvery automated triage score and underwriting approval provides complete rationale logs.
04Production handoverDelivered for your internal engineering, compliance, and claims desks to own and manage.
WHAT MAKES US BEST

Algorithmic underwriting and fraud defense without black boxes.

  • Battle-tested models in claims FNOL automation, subrogation analysis, and complex risk scoring.
  • Document AI pipelines accurately parsing medical records, repair estimates, and policy schedules.
  • Built to satisfy state insurance commissioners, NAIC standards, and data sovereignty rules.
WHERE WE TYPICALLY START

Four places the risk concentrates.

01Automated claims intake, triage, and fraud detection queues
02Underwriting decision assistance with fully documented rationale
03Policyholder servicing workflows reducing handle time and disputes
04Policy and billing lifecycle operations with end-to-end auditability
FAQ

Working in this sector.

What are the typical use cases you take on here?

The decisions that move this sector's P&L and carry real operational risk — the ones made at high volume, under time pressure, or under scrutiny. We start where a better decision layer changes cost, speed, or trust, not where the data is merely convenient.

How do you handle this sector's regulation and data constraints?

As design inputs, not afterthoughts. Every system is built to be logged, explainable, and auditable, so it holds up to the compliance and reporting your regulators expect. We work inside your data-residency and access constraints rather than asking you to relax them.

Do you use a generic playbook or something sector-specific?

Sector-specific. We bring teams who have already solved your exact class of problem in production, so the work starts from your industry's physics — its data, incentives, and failure modes — instead of a template retrofitted after the fact.

What outcomes should we expect?

Measurable movement on a decision that matters to the business, proven in production and defensible to leadership. We agree the target metric upfront and instrument it, so the result is a number your team owns, not a claim in a report.

How does an engagement start?

With one decision in your operation that is currently expensive, slow, or distrusted. We scope whether it is worth building, what it takes, and how we will measure it — so the first phase proves value before any broader commitment.

Your industry has its own physics.
We've learned them.

We don't bring generic playbooks. We bring teams who have already solved your exact class of problem — at scale, in production, and with measurable P&L impact.

Talk to an industry expert