HR & RECRUITING
Agentic Below-Band Pay Equity Investigation
When a market-data refresh signals new midpoints, an agent investigates below-midpoint employees, cross-checks tenure, performance, and demographic-blind cohorts.
How it runs
The automated pipeline, trigger to output.
- TriggerMarket-data refresh webhookHTTP webhook
- ActionQuery below-midpoint cases with contextBigQuery
- LogicAgent reasons and classifies each case
- ActionWrite review memo per case to NotionNotion
- OutputSlack summary of recommend-adjust casesSlack
What it does
Triggered by a market-data refresh webhook, an agent investigates each employee now sitting below their band midpoint. Rather than a flat threshold, it weighs tenure in role, recent performance rating, and how the person compares to a blinded peer cohort, then drafts a defensible review memo explaining whether the gap looks justified or warrants adjustment. Memos land in Notion and a summary goes to Slack.
When to use it
Use it when raw below-midpoint flags create too many false positives and you need judgment that accounts for context before escalating. Good for organizations that want an auditable, reasoned memo per case ahead of a comp committee.
How it works
- 1A market-data refresh webhook fires the investigation.
- 2The agent queries BigQuery for below-midpoint employees and their context fields.
- 3For each case it reasons over tenure, performance, and peer cohort.
- 4A decision step classifies each as justified, watch, or recommend-adjust.
- 5The agent writes a review memo to Notion per case.
- 6A Slack summary flags recommend-adjust cases to the comp committee.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect NotionPages, databases, comments.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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