HR & RECRUITING

Quarterly internal-mobility scan into a talent board

Each quarter, an agent scans all open reqs against the workforce skills profile, identifies high-potential moves.

CategoryHR & Recruiting
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule
  • ActionLoad reqs and workforce skills profileGoogle BigQueryBigQuery
  • LogicAgent evaluates ready-now vs. stretch matches and gaps
  • ActionBuild the Notion talent boardNotionNotion
  • OutputPost top moves summary to leadership SlackSlack

What it does

On a quarterly cadence this workflow takes a strategic view: an agent cross-references every open and forecasted req with the full workforce skills profile, surfaces the highest-leverage internal moves (including stretch roles and adjacent-skill candidates), and assembles a Notion talent board leadership can plan from. It then summarizes the headline moves in a Slack channel.

When to use it

Use it for workforce-planning reviews where you want a defensible, data-backed picture of internal mobility opportunities rather than ad hoc matching. Best when skills data is rich enough to support agent judgment on stretch fit.

How it works

  1. 1A quarterly schedule triggers the run.
  2. 2The workflow loads open and forecasted reqs plus the workforce skills profile from BigQuery.
  3. 3An agent evaluates each role for internal candidates, distinguishing ready-now matches from stretch moves and flagging critical skills gaps with no internal coverage.
  4. 4It builds a structured Notion talent board with sections per function and recommended moves.
  5. 5It posts a Slack summary of the top recommended moves and uncovered roles to the people-leadership channel.

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 SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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