Greenhouse only knows its half.
Greenhouse tracks employees, but can't see pay rates. So what you read there is already partial.
Build a Headcount Planning Agent withGreenhouse and Ashby
The data for your hiring decision already exists in Greenhouse and Ashby. The problem is no one view joins it. Workforce planning tools with current headcount data.
Greenhouse says one thing about employees, Ashby says another.
The hiring decision eats the gap.
The hiring decision eats the gap.
Ashby holds what Greenhouse misses.
Pay rates lives in Ashby, cut off from employees, so headcount planning guesses at the link.
The signal hits Ashby first.
Ashby sees departments to forecast future hires shift before anyone, yet the hiring decision owner hears about it last.
Under The Hood
No exports. Headcount planning reads Greenhouse and Ashby in a single pass. Already connected.
01
Query ingest employee info from Greenhouse (applicant tracker)
Employees
02
Pull pay rates from Ashby (applicant tracker)
compensation
03
output
Agent-ready output
The plan for the hiring decision: Ingest employee info, pay rates, departments to forecast future hires, riskiest items surfaced and owned.
The Context Store
No glue between Greenhouse and Ashby: the role is stitched before the prompt fires.
Greenhouse and Ashby get reconciled up front for headcount planning: employees, compensation, departments, growth plans mapped to a single role view instead of 2 separate APIs.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
ROLE-LEVEL JOINSPEOPLE OPS SCHEMANO GLUE CODE
The Prompt
Copy. Paste.
a Headcount Planning Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
I want to ingest employee info by combining Greenhouse and Ashby data, then report back.
SETUP
Airbyte's Agent MCP is connected to 2+ systems; query them directly, no API code.
WORKFLOW
connect Greenhouse and Ashby -> read employees, compensation, departments, growth plans -> merge into one role view -> rank and explain. Each unconnected source is a one-off connect step away.
TASK
Ingest employee info, pay rates, departments to forecast future hires. Return one plan ranked by urgency, top risks called out, a next step on each.The Outcome
Headcount planning in a single pass. No 2-hour tab marathon. Now your agent can fix it.
10x
Faster
10x faster. Headcount planning does in seconds what ate 2 hours of ingest employee info.
90%
Cheaper to run
90% less spend: no glue code; it runs on your existing 2-tool stack to ingest employee info.
2 -> 1
Tools, one query
2 tabs into 1: Greenhouse and Ashby collapse to one view to ingest employee info.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Priority scoring
A 1-10 score on each role means the urgent employees rises to the top of headcount planning on its own.
02 · Signal
Reality-check flags
When your applicant tracker and your applicant tracker disagree on ingest employee info, the gap is flagged. Not averaged into a guess.
03 · Context
Context overlay
Pay rates from Ashby sits beside each item, letting you ingest employee info without switching tabs.
04 · Action
One move per line
For each role, headcount planning names the next step. The owner and the move. Not just a number.
05 · Brief
Built to ingest employee info
The plan arrives meeting-ready: employees first, sources attached, Greenhouse and Ashby reconciled.
More people ops agents like Headcount planning
view All use casesInteractive Org Charts
People ops teams run hiring decisions on stale, scattered data: Greenhouse / Ashby each hold a piece, none hold the whole. Organizational changes happen frequently.
Gift Card Giveaway Agent
Your hiring decision is only as fresh as the slowest tab. Manual distribution wastes time. Yet the inputs sit split across Stripe + Shopify + Salesforce.
Recruiting Agents
People ops teams run hiring decisions on stale, scattered data: LinkedIn Ads / Salesforce / Greenhouse each hold a piece, none hold the whole. Top candidates are off market in 10 days.
Common questions
Didn't find your answer? Please don't hesitate to reach out.
Does Headcount planning replace Greenhouse?
No, it reads Greenhouse and writes back the plan. Your record systems stay put.
What does Headcount planning cost to run?
It rides the 2 connectors you already license. No seats, no glue code, no infra to ingest employee info.
How long until Headcount planning is live?
Minutes. Each connector is a one-off connect step, then headcount planning runs on demand or on a schedule.
How do I build a headcount planning agent with Greenhouse and Ashby?
Link Greenhouse and Ashby in Airbyte's MCP, paste the prompt above, and headcount planning reads all 2 sources at once to ingest employee info.
Headcount planning is one prompt away from Greenhouse and Ashby.
Wire Greenhouse and Ashby and 47+ sources into Airbyte's MCP and build headcount planning on data you already own.
