Ai Phone Screening

How to Integrate AI Phone Screening with Greenhouse in Under an Hour

By NTRVSTA Team3 min read

How to Integrate AI Phone Screening with Greenhouse in Under an Hour

As of June 2026, organizations are increasingly turning to AI-powered solutions to streamline recruitment processes. In fact, 70% of HR leaders report that AI tools have significantly reduced their time-to-hire, often by as much as 50%. Integrating AI phone screening with your Applicant Tracking System (ATS), such as Greenhouse, can be accomplished in under an hour and can greatly enhance candidate experience and operational efficiency. This guide walks you through the integration process, ensuring you can leverage AI for real-time phone screening effectively.

Prerequisites for Integration

Before diving into the integration steps, ensure you have the following:

  1. Greenhouse Account: Ensure you have admin access to your Greenhouse account.
  2. NTRVSTA Account: Sign up for an NTRVSTA account and ensure you have access to the AI phone screening features.
  3. Estimated Time: Most teams complete this integration in about 30-60 minutes.

Step-by-Step Integration Process

Step 1: Access Your Greenhouse API Key

  1. Log in to your Greenhouse account.
  2. Navigate to Account Settings > API Credential Management.
  3. Click on Add API Credential and select the API Type as “Developer”.
  4. Name your API key (e.g., “NTRVSTA Integration”) and assign relevant permissions.
  5. Save the generated API key for later use.

Expected Outcome: You will have an API key that allows NTRVSTA to communicate with your Greenhouse account.

Step 2: Configure NTRVSTA Settings

  1. Log in to your NTRVSTA account.
  2. Navigate to the Integrations section.
  3. Select Greenhouse from the list of ATS integrations.
  4. Enter the API key obtained from Greenhouse.
  5. Configure any additional settings, such as preferred languages for phone screening (NTRVSTA supports over 9 languages).

Expected Outcome: NTRVSTA will establish a connection with Greenhouse using the API key.

Step 3: Test the Integration

  1. In NTRVSTA, initiate a test phone screening by selecting a candidate from your Greenhouse database.
  2. Confirm that the candidate receives a prompt for a phone screening via the configured method.

Expected Outcome: The candidate should receive an AI phone screening invitation, and you will see their responses in both NTRVSTA and Greenhouse.

Step 4: Monitor and Optimize

  1. Access the analytics dashboard in NTRVSTA to monitor candidate completion rates and screening feedback.
  2. Adjust screening questions based on candidate performance and feedback to optimize future screenings.

Expected Outcome: You will have actionable insights to improve your screening process.

Common Troubleshooting Issues

  1. Integration Not Working: Ensure the API key has the correct permissions.
  2. Candidates Not Receiving Invitations: Check email settings in both platforms for any blocks or filters.
  3. Data Not Syncing: Verify that the API key is correctly entered in NTRVSTA.
  4. Language Settings Not Applying: Confirm that the selected language matches the candidate's profile in Greenhouse.
  5. Screening Not Initiating: Ensure that the candidate is active in the Greenhouse system and eligible for screening.

Timeline for Completion

Most teams complete this integration in 30-60 minutes, allowing for testing and adjustments.

Conclusion: Actionable Takeaways

  1. Prepare Your Accounts: Ensure you have the necessary access and API keys before starting the integration.
  2. Follow Each Step: Carefully go through the outlined steps to ensure a smooth integration process.
  3. Test Thoroughly: Always conduct tests to verify that the integration works as intended.
  4. Monitor Performance: Use analytics to continuously improve your screening processes.
  5. Stay Updated: Regularly check for updates from both Greenhouse and NTRVSTA to leverage new features.

By following this guide, you can seamlessly integrate AI phone screening with Greenhouse, enhancing your recruitment process and improving candidate engagement.

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