How to Connect ADP with Chorus.ai (2026)

Why Connect ADP with Chorus.ai

ADP is a comprehensive payroll and human resources platform used by businesses of all sizes to manage employee compensation, benefits, time tracking, and compliance. Chorus.ai (now part of ZoomInfo) is a conversation intelligence platform that records, transcribes, and analyzes sales calls and meetings to surface insights about deal progress, customer sentiment, and rep performance. Connecting ADP with Chorus.ai helps organizations align HR and compensation data with sales performance metrics derived from actual customer conversations.

This integration is particularly valuable for companies with performance-based compensation structures where sales rep effectiveness, measured through Chorus.ai analytics, directly impacts bonuses, commissions, or performance reviews managed in ADP.

What This Integration Does

By connecting ADP and Chorus.ai, organizations can create workflows that link conversation intelligence insights to HR and payroll processes:

• Sync sales performance scores and call metrics from Chorus.ai with employee records in ADP to inform performance reviews.
• Automatically flag top-performing reps in ADP based on Chorus.ai deal influence scores, enabling faster bonus processing.
• Pull employee roster data from ADP into Chorus.ai to ensure the platform accurately attributes calls and meetings to the correct team members.
• Combine Chorus.ai coaching scores with ADP training records to create a complete picture of employee development.

Native vs Third-Party Integration

ADP and Chorus.ai do not offer a native direct integration. To connect these platforms, you will need to use a third-party automation tool such as Zapier, Make, or n8n, or build a custom integration using both platforms' APIs.

ADP offers the ADP Marketplace and API platform, which provides REST APIs for accessing employee data, payroll information, and organizational structures. Chorus.ai (ZoomInfo) provides APIs for retrieving call data, analytics, and team performance metrics. Zapier supports ADP Workforce Now and can connect to Chorus.ai through webhooks or the ZoomInfo integration. Make and n8n offer HTTP/webhook modules that can work with both platforms' APIs for more customized data flows.

For enterprises with strict data governance requirements, a custom API integration may be preferable as it keeps sensitive payroll and performance data within your controlled infrastructure.

Step-by-Step Setup

Step 1: Define Your Data Requirements

Determine exactly what data needs to flow between the two platforms. Common requirements include pulling employee names and IDs from ADP to map to Chorus.ai user accounts, and extracting call performance metrics from Chorus.ai to feed into ADP performance review modules.

Step 2: Configure ADP API Access

In ADP, navigate to ADP Marketplace or contact your ADP administrator to enable API access. You will need to register your application through the ADP Developer portal to obtain client credentials (client ID and client secret). Ensure you request the appropriate API scopes for reading employee data and, if needed, writing performance review data.

Step 3: Configure Chorus.ai API Access

Log into Chorus.ai (or ZoomInfo) and navigate to the admin or integrations settings. Generate an API key or OAuth credentials. Identify the relevant API endpoints for pulling call analytics, deal trackers, and team performance data.

Step 4: Build the Automation

In Zapier, Make, or n8n, create a workflow with the following structure. Set a scheduled trigger (daily or weekly) that pulls performance data from Chorus.ai for the relevant time period. Use a data transformation step to calculate aggregate metrics per employee, such as average talk-to-listen ratio, number of calls, and deal influence score. Map these metrics to the corresponding employee records in ADP using employee email or ID as the matching key.

Step 5: Validate and Monitor

Run the workflow manually with a small set of employees to verify that data maps correctly between Chorus.ai usernames and ADP employee records. Check that performance metrics appear in the right fields. Set up error notifications so you are alerted if the sync fails due to API changes or authentication issues.

Common Use Cases

• Commission calculations: Use Chorus.ai deal influence data to calculate sales commissions and push the figures to ADP payroll for processing.
• Performance reviews: Enrich ADP performance review cycles with objective Chorus.ai metrics like call volume, win rates, and coaching scores.
• Employee onboarding: When new sales reps are added in ADP, automatically provision their Chorus.ai accounts and assign them to the correct team and recording settings.
• Turnover analysis: Correlate Chorus.ai engagement metrics (call frequency, coaching participation) with ADP attrition data to identify early warning signs of disengagement.
• Team restructuring: When organizational changes are made in ADP, automatically update team structures and reporting hierarchies in Chorus.ai.

Tips and Best Practices

• Protect sensitive data: Payroll and compensation data from ADP is highly sensitive. Ensure your automation platform encrypts data in transit and at rest, and limit access to the integration to authorized administrators only.
• Use employee IDs as the primary key: Email addresses can change. Use a stable employee ID from ADP as the primary key for matching records across both platforms.
• Aggregate before syncing: Rather than syncing individual call records, aggregate Chorus.ai data into weekly or monthly performance summaries before sending to ADP. This reduces data volume and creates more meaningful performance metrics.
• Account for Chorus.ai's acquisition by ZoomInfo: Since Chorus.ai is now part of ZoomInfo, API endpoints and authentication methods may evolve. Stay current with ZoomInfo's developer documentation to avoid integration disruptions.
• Test during a non-payroll period: When first setting up the integration, test during a period when payroll is not being processed to avoid accidentally impacting employee compensation.
• Involve your HR and legal teams: Performance data flowing between systems can have implications for employee evaluations and compensation decisions. Ensure HR and legal stakeholders are aware of and approve the data sharing.