Velos: AI Automation For Your Back Office

What

Velos is an AI automation platform and managed implementation service for insurance back-office operations. It is positioned for carriers, MGAs, MGUs, and TPAs that handle high-volume, document-heavy workflows across commercial lines, especially where data is trapped in emails, PDFs, spreadsheets, and inconsistent handoffs.

The product focuses on recurring manual processes such as submission intake and triage, FNOL processing, and bordereaux reporting. Rather than replacing core policy or underwriting systems, Velos appears to sit alongside them to automate data extraction, validation, routing, and reporting, with implementation handled by Velos through onboarding, workflow buildout, QA, launch, and ongoing optimization.

Features

• Submission intake and triage automation: Extracts and enriches unstructured submission data, checks it against underwriting guidelines and third-party sources, and flags missing or inconsistent information before underwriter review.
• FNOL intake automation: Captures first notice of loss across multiple channels and reduces manual claim setup work to support faster triage and fewer missed claims.
• Bordereaux processing standardization: Normalizes bordereaux reporting across carrier requirements and lines of business, reducing spreadsheet rework and making reporting more scalable.
• Managed workflow implementation: Velos designs, builds, tests, launches, and refines automations, which reduces the need for customers to configure or maintain workflows themselves.
• Works with existing core systems: The site states the service is built to integrate with current core systems, which suggests a lower-disruption approach than full system replacement, though specific integrations are not listed.
• Security and data controls: Velos states SOC 2 Type II certification, AES-256 encryption, GDPR compliance, isolated customer instances, and a policy of not using customer data to train AI models.

Helpful Tips

• Map edge cases early: Products in this category perform best when exception handling, document variability, and approval rules are documented during onboarding rather than after launch.
• Prioritize one high-friction workflow first: A focused pilot on submissions, FNOL, or bordereaux can make it easier to validate operational fit before expanding to adjacent processes.
• Verify system-fit details: Since the site does not name specific integrations, buyers should confirm how data will move between Velos and existing policy, claims, and reporting systems.
• Review audit and governance needs carefully: Velos emphasizes audit trails and secure data handling, so teams in regulated insurance environments should align those controls with their internal review standards.
• Measure operational outcomes, not only automation rates: Evaluate impact using cycle time, error reduction, leakage prevention, and staff capacity gains, especially for repetitive back-office tasks.

OpenClaw Skills

Velos could likely work well within the OpenClaw ecosystem as the execution layer for insurance document and workflow operations. Based on the site, likely OpenClaw skills could include submission-package classification, bordereaux QA review, FNOL intake routing, underwriting guideline checks, missing-data detection, and exception escalation agents. These would be inferred workflow combinations rather than confirmed native integrations, since the page does not describe OpenClaw connectivity or an API model.

In practice, OpenClaw agents could sit around Velos to orchestrate upstream and downstream work: monitoring inboxes, identifying document types, triggering Velos workflows, summarizing exceptions for underwriters or claims teams, and maintaining structured handoff records for audits. For insurance operations teams, that combination could shift work away from rekeying and spreadsheet reconciliation toward review, judgment, and partner management, especially in environments where manual process volume has outgrown staff capacity.