Salesforce can't answer it solo.
ATS in Salesforce is only one input; the hiring decision stalls without automate communications alongside it.
People ops teams run hiring decisions on stale, scattered data: Greenhouse + Amplitude + Salesforce each hold a piece, none hold the whole. Manual tracking loses candidates.
Now your agent can fix it.
ATS in Salesforce is only one input; the hiring decision stalls without automate communications alongside it.
What Greenhouse knows about automate communications rarely flows back to Salesforce. Two tools, one unreconciled gap.
Amplitude sees measure metrics shift before anyone, yet the hiring decision owner hears about it last.
Under The Hood
ATS
SMS
The worklist for the hiring decision: Track candidates through pipeline, automate communications, measure metrics, optimize process, riskiest items surfaced and owned.
The Context Store
Airbyte folds Greenhouse + Amplitude + Salesforce and 5 more into the Context Store: ATS, Email, SMS, HRIS, Analytics Platforms land in one schema, joined on a shared role key, so ai applicant tracking never touches a raw your system of record endpoint.
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.
The Prompt
Two steps. Your data, your results, under 60 seconds.
I want to track candidates through pipeline by combining Salesforce, Greenhouse, and Amplitude data, then report back.
SETUP
You have Airbyte's MCP, wiring up 8+ tools you can query in plain language.
WORKFLOW
check connectors, connect Salesforce, Greenhouse, and Amplitude, query ATS, Email, SMS, HRIS, Analytics Platforms, reconcile per role, summarize. Missing tools tell you how to link them. One quick authorize step.
TASK
Track candidates through pipeline, automate communications, measure metrics, optimize process. Return one worklist ranked by urgency, top risks called out, a next step on each.The Outcome
10x
10x faster. Ai applicant tracking does in seconds what ate 3 hours of track candidates through pipeline.
90%
~90% cheaper: zero new infra and no seats added to track candidates through pipeline.
3 -> 1
3 tabs into 1: Salesforce, Greenhouse, and Amplitude collapse to one view to track candidates through pipeline.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
AI Applicant Tracking ranks each role by risk, not by name. The top of the list is where to start.
02 · Signal
Any conflict between Salesforce and Greenhouse on ATS is raised for review rather than silently smoothed over.
03 · Context
Each line carries its evidence. Automate communications pulled from Greenhouse and Amplitude. Right where you read it.
04 · Action
Every row ends in a move: ai applicant tracking tells you what to change and who owns it.
05 · Brief
The worklist arrives meeting-ready: ATS first, sources attached, Salesforce, Greenhouse, and Amplitude reconciled.
Your hiring decision is only as fresh as the slowest tab. Employee referrals have 4x higher retention. Yet the inputs sit split across Stripe + Greenhouse + Salesforce.
People ops teams run hiring decisions on stale, scattered data: Gmail, Sentry, and Harvest each hold a piece, none hold the whole. Manual notifications cause miscommunication.
Your hiring decision is only as fresh as the slowest tab. Referral bonuses motivate employees. Yet the inputs sit split across PayPal Transaction, Stripe, and Greenhouse.
Didn't find your answer? Please don't hesitate to reach out.
What does AI Applicant Tracking cost to run?
Is ATS stored anywhere by AI Applicant Tracking?
How do I build an ai applicant tracking agent with Salesforce, Greenhouse, and Amplitude?
How long until AI Applicant Tracking is live?
53+ connectors including Salesforce, Greenhouse, and Amplitude are ready. Give ai applicant tracking the access to track candidates through pipeline.