What is bring-your-own-LLM (BYOLM) and why does it matter for insurance carriers?

Bring-your-own-LLM (BYOLM) is a deployment model where the insurance AI platform routes LLM calls through the carrier's own model accounts — typically AWS Bedrock, Google Vertex AI, Microsoft Azure OpenAI, or Anthropic's direct API. The carrier owns the model perimeter, the data retention, and the compliance posture; the vendor provides only the orchestration and product layer. BYOLM is procurement-critical at any large carrier because data residency and zero-retention requirements cannot be satisfied if the vendor controls the LLM keys.

Bring-your-own-LLM is the deployment model that gates enterprise insurance procurement. A platform that only supports calling its own LLM keys will not pass the carrier's data-security review.

What BYOLM means in practice

  • The AI platform (Vortic and peers) provides the orchestration: multi-agent pipeline, prompts, decision logic, audit trail, UI.
  • The LLM provider (AWS Bedrock, Vertex AI, Azure OpenAI, Anthropic Direct) is contracted directly between the carrier and the LLM vendor.
  • The platform routes each LLM call through the carrier's account. The data never leaves the carrier's VPC + the carrier's LLM provider account.

Why carriers insist on it

1. Data residency. US carriers writing in California, New York, and Florida have data-residency obligations under state insurance law + state privacy law (CCPA, NY SHIELD). Routing prompts through a vendor's OpenAI account moves data into a third-party perimeter the carrier can't audit.

2. Zero-retention agreements. AWS Bedrock, Vertex AI, and Anthropic Direct all offer zero-retention contracts where the LLM provider commits not to retain prompts beyond the inference window. The carrier's legal team negotiates this directly; a third-party platform can't.

3. Audit perimeter. The carrier's internal audit + external NAIC market-conduct examiners want a single perimeter to audit. If LLM logs live with the platform vendor and audit logs live with the carrier, the audit story splinters.

4. Model selection. Different carriers have different model preferences. A Microsoft shop runs Azure OpenAI; an AWS shop runs Bedrock. BYOLM lets the platform support both without forcing the carrier to migrate cloud.

5. Cost transparency. The carrier sees the LLM bill directly. Negotiates volume discounts with the LLM provider. No platform vendor markup on LLM inference.

What BYOLM does NOT include

  • The AI platform's own infrastructure (orchestration, UI, audit trail database) still runs on the platform vendor's cloud — typically Vercel / AWS / GCP. BYOLM scopes the model layer only.
  • BYOLM is not the same as on-premise deployment. Some carriers want both (e.g. Lloyd's syndicates running on-prem with their own Bedrock account).
  • BYOLM doesn't replace the standard data-processing agreement between the carrier and the AI platform vendor.

How to evaluate a platform on BYOLM support

Ask the vendor: 1. Which LLM providers do you support? (Should include Bedrock + Vertex + Azure OpenAI + Anthropic Direct at minimum) 2. How do I configure my own keys? (Should be a settings panel, not a contract amendment) 3. Where do prompts log? (Should be in the carrier's account, not the vendor's) 4. Can I rotate keys without downtime? (Should be yes) 5. What's the latency overhead vs the vendor's own keys? (Should be < 100ms)

Platforms that fail any of these aren't enterprise-ready.

Industry direction

By the end of 2026, BYOLM will be the default deployment model for any enterprise insurance AI platform. Multi-tenant cloud-only platforms will survive in the MGA / mid-market segment where the procurement bar is lower, but the carrier ICP requires BYOLM.

Reference sources

Updated 2026-05-19·aicompliance
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