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AI agent for engineering managers

On-Call Load Balancing Agent

Share the on-call burden fairly while keeping every rule and leave

SchedulingPlanningIT and developmentManagementOperations
See how it worksGet access
On-Call Load Balancing Agent: what goes in, what the agent does and what you get

What it does

The same three engineers get paged at night while others rarely do, and the schedule ignores leave and holidays. This agent reads the incident and rota history and computes pages, night hours and weekend shifts per person. It spots uneven load and proposes swaps for the coming rotations. It checks each proposed schedule against rules such as no back-to-back weeks, a rest day after a bad night, holiday fairness and approved leave. If a rule is broken it rebuilds the schedule and checks again. It also flags noisy alerts that cause most pages. The manager approves the schedule before it is published to the team. Edge case: one engineer asked for extra shifts for pay, so the agent follows the stated preference.

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, continueYes, continueApprovedNoNo 1 STARTS WHEN Monthly planning 2 USES A TOOL Read incident, paging and rota history 3 DOES Compute pages, night hours and weekend shifts perperson 4 DOES Find uneven load and noisy alerts 5 DOES Build a proposed schedule for the coming rotation 6 USES A TOOL Check the schedule against leave, holidays and rules 7 CHECKS THE RESULT Does the schedule break any rule or leave? If not: rebuild with different swaps and check again.Back to step 4. 8 CHECKS THE RESULT Is the load gap between highest and lowest under thetarget? If not: propose alert fixes and extra swaps. Back tostep 4. 9 YOU APPROVE Manager approves the schedule 10 RESULT Schedule and load report
Read the steps as a list
  1. Monthly planning
  2. Read incident, paging and rota history
  3. Compute pages, night hours and weekend shifts per person
  4. Find uneven load and noisy alerts
  5. Build a proposed schedule for the coming rotation
  6. Check the schedule against leave, holidays and rules
  7. Does the schedule break any rule or leave?If not: rebuild with different swaps and check again. Back to step 4.
  8. Is the load gap between highest and lowest under the target?If not: propose alert fixes and extra swaps. Back to step 4.
  9. Manager approves the scheduleThe agent waits here for your OK.
  10. Schedule and load report

How it decides

It scores each person's load from pages, night hours and weekends and picks swaps that reduce the gap between highest and lowest without breaking a rule.

  • Count a page between 22:00 and 07:00 as 3 times a daytime page
  • Never schedule back-to-back weeks
  • Give a rest day after a night with 3 or more pages
  • Aim for a gap under 25% between the highest and lowest load

Make it yours

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

  • Night weighting (default 3 times)
  • Rules for rest and back-to-back weeks
  • Fairness target (default 25%)
  • Planning horizon
  • Preferences allowed

What keeps you in control

It always asks you first

  • Manager approves the schedule
  • Manager approves publishing it to the team

Hard limits

  • Never publish the schedule itself
  • Never schedule anyone during approved leave

It stops when

  • Done: a valid fair schedule is approved
  • Stop: the team is too small to meet the rules

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 happensOver 3 months, 2 of 8 engineers took 52% of night pages. The agent built a new rotation. The first check failed because it placed one engineer on call during approved leave in week 3. It rebuilt. The second check showed a 31% gap against the 25% target, so it proposed fixing two noisy alerts and a swap. The final gap was 22%, and the manager approved.

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