Integrations

Supercharge Spoke Phone with Relevance AI

Spoke Phone is a cloud-based communication platform that streamlines voice and messaging services for businesses.

Enhance your communication workflows with AI Agents that can intelligently handle customer interactions, qualify leads, and automate routine tasks.

Give your AI Agents Spoke Phone Superpowers

Spoke Phone delivers unified business communications across voice, messaging and video. Relevance AI transforms these interactions into intelligent experiences with AI Agents that can understand context, automate responses, and drive better outcomes.

Contextual Understanding

The agent can comprehend customer intent and sentiment, tailoring responses for better engagement.

Data-Driven Insights

Utilizes call analytics to provide actionable insights, improving decision-making and strategy.

Personalized Interactions

Delivers tailored experiences based on customer data, fostering stronger relationships and satisfaction.

Tools

Equip AI Agents with the Spoke Phone Tools they need

Relevance AI gives you access to Spoke Phone's communication capabilities within your AI-powered workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Spoke Phone data. Relevance AI handles API operations through Spoke Phone's integration endpoints—managing call data, user permissions, and phone system configurations automatically.

Built-in request validation and response handling ensure reliable communication between your workflows and Spoke Phone's services.

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 Spoke Phone + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct account permissions and API access are set up.
  • Use correct endpoints: Match HTTP methods (GET, POST, PUT, etc.) with appropriate API paths.
  • Handle responses carefully: Monitor response status codes and body content for successful operations.
  • Manage headers effectively: Include necessary custom headers while respecting authorization headers.
  • Test API calls: Validate requests with small data sets before implementing larger operations.