Integrations

Supercharge Nmbrs with Relevance AI

Nmbrs is a cloud-based HR and payroll software solution that streamlines human resource management processes.

Enhance your HR operations with AI agents that can automate employee interactions and provide instant access to payroll information.

Give your AI Agents Nmbrs Superpowers

Nmbrs handles complex payroll and HR processes with precision. Relevance AI transforms this into intelligent interactions through AI agents that can automate employee queries, streamline onboarding, and provide real-time payroll insights.

Intelligent Query Resolution

The agent can instantly answer complex payroll inquiries, enhancing user experience.

Proactive Compliance Monitoring

Continuously tracks labor law changes, ensuring organizations remain compliant and informed.

Enhanced Workflow Automation

Automates repetitive HR tasks, freeing up time for strategic initiatives.

Tools

Equip AI Agents with the Nmbrs Tools they need

Relevance AI gives you access to Nmbrs' HR and payroll capabilities within your automated workflows and AI agents.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Nmbrs payroll data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authentication, formatting, or request limits.

Built-in validation and data transformation ensure your payroll workflows run smoothly, even when handling complex employee data structures.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the Nmbrs + Relevance AI integration without writing code:
  • Use proper authentication: Ensure OAuth credentials are correctly configured and permissions are set.
  • Structure API requests: Follow Nmbrs API endpoint patterns and use correct HTTP methods.
  • Validate payloads: Double-check request body formats before sending to avoid errors.
  • Handle responses carefully: Monitor response status codes and implement error handling.
  • Respect API limits: Be mindful of rate limits and implement appropriate request spacing.