# Sub-100 ms pricing is a governance problem

_2 August 2026 · 2 min · insurance_

Fast ML-augmented rating only works when actuaries own the bounds.

Making pricing fast is the easy part. Making fast pricing safe is the actual work.

## Actuaries own the bounds

ML-augmented rating only works when actuaries set the limits the model is allowed to move within. In practice that means:

- Shadow mode before any model prices real business.
- Circuit breakers that fall back to approved rating when something looks wrong.
- Explainable mappings from model outputs to approved rating grids.

## Speed with and without governance

Speed without governance just produces more referral noise — more quotes a person has to look at anyway. With governance in place, auto-binding at Insly went from 22% to 68% while loss ratios stayed within bounds.

Related: [See Nora, Insly's AI for underwriting teams](https://kivilaid.ee/projects/nora)

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Source: https://kivilaid.ee/blog/sub-100ms-pricing-governance · Contact: https://www.linkedin.com/in/andokivilaid · Overview: https://kivilaid.ee/llms.txt