Aivar puts governed AI agents to work across claims triage, underwriting, and policy servicing. Deployed inside your own cloud, audited at every step, and live in weeks.
Insurance runs on judgment calls, and judgment calls run on documentation. Every claim needs a defensible decision, every policy needs to be priced against real risk, and every process needs to hold up to a regulator or an auditor. Aivar brings frontier AI models into production for claims, underwriting, and policy teams, wrapped in governance that satisfies compliance and audit from day one.
Every accelerator deploys inside your own AWS account, so policyholder and claims data never leaves your infrastructure.
From first notice of loss to renewal, each accelerator is tuned to the workflows and regulations that define your business.
First notice of loss, damage assessment, and claims routing, automated and traced back to the policy that produced each decision.
Application review, risk scoring, and pricing support that move at the speed of a quote, not a queue.
Endorsements, renewals, and policyholder servicing, automated in the channels your customers already use.
Broker and agent support that speeds up quoting, binding, and commission questions.
Three accelerators, two foundations, one architecture built to survive an audit.
Handles first-notice-of-loss intake, policyholder servicing, and agent support conversations across voice, chat, and in-app, with every call scored and logged for compliance review.
>> Conversational AI for FNOL, servicing, and agent support <<
Runs document-heavy processes such as claims triage, underwriting assist, and policy operations end to end, with every decision traced back to the policy or regulation that produced it.
>> Governed automation for claims and underwriting workflows <<
Trains and serves risk-scoring, fraud-detection, and pricing models inside your own VPC, with full audit trails and cost visibility built in.
>> Infrastructure for risk and pricing models <<
A sample of the engagements we've shipped.
Automated quoting operations for a UAE ceramics studio serving hospitality and design clients, turning a multi-hour process into minutes.
Scaled critical, real-time customer messaging for banking, e-commerce, and government clients across India to millions of end consumers.
Migrated an Amazon product-listing platform to a generative AI architecture, delivering 80% faster listing generation and 70% higher accuracy for e-commerce sellers.
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No. Every Aivar accelerator deploys inside your own AWS account or VPC. Policyholder records, claims data, and model inputs stay on your infrastructure throughout.
ReVAct, our governance foundation, gates every agent action before it reaches a system of record and logs the reasoning behind it, giving your compliance team a full audit trail for every claim or underwriting decision an agent touches.
Most engagements move from discovery to a working proof of concept in one to two weeks, and into production within another six to eight, depending on integration scope. We build for production from day one rather than treating pilots as throwaway work.
General AI tools are built for productivity tasks like drafting and summarizing. Aivar's accelerators are built for regulated decisions such as claims adjudication and underwriting, with the governance and audit trail insurance regulators expect, and priced against the outcome delivered rather than tokens or seats.
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