HR & RECRUITING

Weekly Internal Redeployment Opportunities Digest

Every Monday, cross-references all currently open internal roles against employees whose growth goals signal readiness to move.

CategoryHR & Recruiting
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule (Monday morning)
  • ActionRead open roles from Notion and skills/goals from BigQueryGoogle BigQueryBigQuery
  • ActionMatch employees to open roles with growth rationaleOpenAI
  • LogicGroup strongest matches by each employee's manager
  • OutputEmail each manager a personalized redeployment digestGmailGmail

What it does

Produces a weekly, per-manager digest of internal mobility opportunities. Instead of waiting for a single role to open, it scans the entire open-role inventory each week and tells every people manager which of their reports are ready to grow into roles elsewhere in the company, with the match reasoning spelled out.

When to use it

Use it when you want a steady cadence of proactive mobility conversations rather than reactive backfills. Good for talent-development teams running a formal internal-mobility program who want managers nudged regularly with concrete, named matches.

How it works

  1. 1A Monday-morning schedule fires the workflow.
  2. 2The flow reads all open roles from Notion and the employee skills + growth-goal warehouse tables from BigQuery.
  3. 3An OpenAI step matches employees to roles, producing a fit score and growth rationale per pairing.
  4. 4A logic step groups the strongest matches by each employee's current manager.
  5. 5A personalized digest is emailed to every manager who has at least one ready-to-move report, listing the matched roles and why.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect GmailRead, draft, send, label.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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