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AI agent for insurance actuaries

Rate Indication Agent

A tied-out rate indication with sensitivity

Rate Indication Agent: what goes in, what the agent does and what you get

What it does

Rate indications go wrong when inputs come from different periods or do not tie to source reports. For each line and state due for review, this agent builds the indication. It gathers earned premium, losses, development, trend and expense data, brings premium to current rate level, develops and trends losses, and calculates the indicated change. It then checks that every input uses the same experience period and ties to source reports. If not, it pulls the right data and recalculates. Where credibility is low, it blends with the complement. It runs sensitivity to trend and development choices. It drafts the indication exhibit. The actuary decides the proposed rate. Edge case: a rate change took effect mid-year, so the agent uses the parallelogram method for on-leveling.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Review scheduled 2 USES A TOOL Gather premium, loss and rate history 3 DOES On-level premium and develop losses 4 DOES Apply trend and expenses 5 CHECKS THE RESULT Do inputs share periods and tie to sources? If not: pull correct data and recalculate. Back to step2. 6 DOES Run sensitivity 7 YOU APPROVE Actuary decides proposed rate 8 RESULT Indication exhibit
Read the steps as a list
  1. Review scheduled
  2. Gather premium, loss and rate history
  3. On-level premium and develop losses
  4. Apply trend and expenses
  5. Do inputs share periods and tie to sources?If not: pull correct data and recalculate. Back to step 2.
  6. Run sensitivity
  7. Actuary decides proposed rateThe agent waits here for your OK.
  8. Indication exhibit

How it decides

It follows the standard loss ratio method and checks inputs share periods and tie to sources.

  • Mid-year rate change: parallelogram method
  • Credibility below full: blend with complement
  • Trend range sensitivity +/- 1 point

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Method
  • Experience period
  • Sensitivity range
  • Exhibit format

What keeps you in control

It always asks you first

  • Proposed rate change
  • Filing support

Hard limits

  • Never files rates
  • Never picks the final change

It stops when

  • Done: exhibit ready
  • Stop: data missing

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensFor homeowners in one state, the first run showed plus 14%. The period check failed: losses covered 3 years while premium covered 5. The agent pulled matching premium and recalculated. The indication was plus 8.6%, and sensitivity of 1 point on trend gave a range of plus 6.9% to plus 10.4%. The actuary proposed plus 8%.

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