HR & RECRUITING

Budget-Guarded Offer Approval Router

Checks proposed offer comp against the role's approved salary band and only escalates to executive sign-off when the offer exceeds band.

CategoryHR & Recruiting
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOffer submitted via webhookHTTP webhook
  • ActionLook up role salary band in PostgresPostgreSQLPostgres
  • LogicIn-band vs over-band routing
  • ActionCreate required approval tasks and waitAsanaAsana
  • OutputSave signed packet with budget check to DriveGoogle DriveGoogle Drive

What it does

Adds budget intelligence to offer approval. It compares the proposed comp against the role's salary band stored in your HR database. In-band offers skip straight to a single manager approval; over-band offers require an extra VP sign-off before proceeding. Either path ends with a filed, approved packet.

When to use it

Use when most offers are routine but exceptions need executive eyes. It removes friction for standard comp while guaranteeing leadership reviews anything above the approved band — without you manually deciding which offers escalate.

How it works

  1. 1A submitted offer form fires the webhook trigger.
  2. 2The flow queries Postgres for the role's approved salary band.
  3. 3A logic gate compares offer comp to the band ceiling.
  4. 4If in-band, it creates a single Asana approval task for the hiring manager and waits.
  5. 5If over-band, it creates the manager task plus an escalated VP approval task, both required.
  6. 6Once all required approvals clear, the signed packet — including the budget-check result — is saved to Google Drive and the recruiter is notified.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect AsanaTasks, projects, milestones — everywhere.
  4. 4
    Connect Google DriveDocs, sheets, slides, files.
  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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