Meet your AI Agent for Endorsement Processing.

Bevaya processes the full range of mid-term policy change requests across both personal and commercial lines. This includes driver add / delete / replace, vehicle add / delete with VIN decode, mortgagee changes, address changes, scheduled property updates, coverage limit changes, named insured updates, additional insureds, waivers of subrogation, and workers' compensation class code updates. The AI Agent handles requests that arrive as freeform broker emails, attachments, PDFs, or portal submissions.

AI endorsement processing reads unstructured emails using machine learning, scales without proportional headcount, and produces a complete audit chain — three things RPA and BPO providers struggle with. RPA follows rigid rules that break when broker email formats change. BPO providers can be effective for stable workflows, but mid-term endorsement requests vary widely across lines of business and broker formats. Bevaya's model is trained on 300M+ insurance documents and handles the variability natively; turnover, training cycles, and quality drift become non-issues.

Yes. An endorsement is a mid-term change to an active policy (driver swap, vehicle add, mortgagee update). A renewal is a new policy term issued at expiration. Bevaya classifies each incoming request and routes it to the right workflow — endorsements to the Endorsement Processing AI Agent, renewals to the Policy Renewal AI Agent. Misrouting between the two is a common source of E&O exposure, which is why the classification logic is built specifically to prevent it.

AI endorsement processing reduces E&O exposure by eliminating manual re-keying errors, producing a discoverable audit chain, and flagging risk items before they bind. The structured extraction removes the typos and transcription mistakes that come with re-keying. Every endorsement carries a full audit chain — original email, extracted fields, confidence scores, reviewer actions, system writes — that is discoverable in defense. And business rules catch the requests that need underwriting or compliance review before they apply, instead of after.

Yes. Bevaya has production integrations with Guidewire PolicyCenter, Duck Creek Policy, Insurity, Origami Risk, Sapiens, Majesco, and custom policy admin systems via API. The integration writes directly to the system of record — no copy-paste, no swivel-chair workflow. IT scopes the integration once; from there, the AI Agent handles daily volume.

A typical Endorsement Processing AI Agent deployment goes live in 8–12 weeks. The first two weeks cover scoping and access. The next four-to-six weeks cover configuration and integration. The final two-to-four weeks cover user acceptance testing and ramp. Bevaya's customer team is fully managed, meaning your team does not run the model, train it, or maintain the integration.