Smarter Data Entry for Greenhouse Teams
Turn Data Entry into a background job. Vayan AI agents use Greenhouse to execute on your behalf, 24/7.
47 PDFs processed today. Latest entry:
Meeting notes
- • Vendor: Riverline Co. · Term: 12 months from Apr 1.
- • Total contract value: $42,000 net 30.
- • Signed by: Theo Park (CEO, Riverline) + Daniel R. (Vayan).
How does Greenhouse work for data entry automation?
Greenhouse works for data entry automation by powering an Vayan AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Greenhouse alongside the other apps your team already uses, watches for the triggers that matter for data entry, and takes the next step on its own while keeping a complete audit trail for review. AI extracts, validates, and enters data from documents, emails, and forms automatically. Teams typically see high across mixed document formats once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Greenhouse
Link Greenhouse to Vayan AI with secure OAuth. Employee data and HR workflows sync immediately.
Configure HR Automation
Set up triggers for Greenhouse events — new hires, leave requests, reviews — and define the AI-driven responses.
Streamline People Operations
AI handles routine HR tasks in Greenhouse so your team focuses on culture and strategy. Track time saved per process.
Vendor: Riverline Co. · Term: 12 months from Apr 1.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Sheets · Vendor agreements with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for PDF · Vendor agreement · Riverline.pdf.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Vayan AI connects natively with Greenhouse to handle the full data entry workflow. The AI agent monitors Greenhouse events, processes data entry tasks automatically, and writes results back to Greenhouse — no copy-pasting or tab-switching required.
Most users connect Greenhouse and launch their first data entry automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure data entry-specific rules through a visual no-code builder.
Manual data entry in Greenhouse requires constant tab-switching, copy-pasting, and follow-up tracking. Vayan AI eliminates this by handling data entry tasks in real-time as Greenhouse events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during data entry processing in Greenhouse, it escalates to your team with full context — the Greenhouse record, what was attempted, and why it needs review. Your data entry pipeline never stalls or loses data.
The agent reads PDFs, scanned images, emails, spreadsheets, and structured forms — extracting data fields and writing them to your systems. Even handwritten forms common in greenhouse (intake, work orders, inspection reports) are processed accurately.
Validated extraction accuracy typically exceeds 98% on standardized documents — significantly better than the 4-5% error rates common with manual data entry in greenhouse environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
Yes. You can run data entry workflows in test mode using sample Greenhouse data before activating on live records. This lets you verify every data entry rule works correctly with your Greenhouse setup before processing real data.
The dashboard shows data entry-specific metrics for your Greenhouse integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Greenhouse-triggered data entry workflows perform over time.
The Greenhouse integration maintains a persistent real-time connection for data entry automation with automatic retry logic and continuous monitoring. If Greenhouse experiences downtime, queued data entry tasks process automatically once connectivity resumes.
The data entry agent scales automatically as your Greenhouse activity grows. Whether you process 10 or 10,000 data entry tasks per day from Greenhouse, the AI handles the volume without slowdowns or additional configuration.
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