We are building the infrastructure layer that sits between raw claim data and regulated decisions — automating intake, investigation, verification, and adjustment so that adjusters supervise rather than process.
Motor insurance claims operations are running on infrastructure built for a different era. High-volume, repetitive work — FNOL collection, coverage verification, damage estimation, liability assessment — still consumes the majority of adjuster time. The result is slow cycle times, inconsistent outcomes, and claims operations that cannot scale without proportional headcount growth.
Aspasia is built to change that.
We have designed a purpose-built AI operating system for motor claims — one that sits between raw claim data and the regulated decision, automating the structural, analytical, and communicative work that consumes adjuster time without displacing the judgment that carries regulatory weight.
The platform handles intake across every channel — WhatsApp, email, phone, SMS, and web — and produces a structured, AI-scored claim file before a handler is ever engaged. It retrieves the right policy language, applies the correct regulatory framework, and surfaces the evidence required for a defensible decision. Human adjusters review, sign off, and close.
We are starting with motor because the volume is highest, the workflows are most standardisable, and the operational burden is most acute. Motor is the right wedge. The architecture is built to extend.
Aspasia is available now for enterprise pilots. If you are running a motor claims operation and want to see what this looks like in practice, we would welcome the conversation.