The AI/ML API voice AI integration is useful when a DialNexa call needs information from AI/ML API or when a verified call outcome should update AI/ML API. This page helps you choose a connection method, map the required data, and test the workflow safely.
A catalog page describes a possible workflow. It does not confirm that a native AI/ML API connector is enabled in your workspace. Check Integrations in the DialNexa dashboard first. If AI/ML API is not listed, use a custom function, agent webhook, or external automation service.
When to use the AI/ML API voice AI integration
Use AI/ML API when:
- Your team already relies on AI/ML API as a source of customer or operational data.
- The agent needs current AI/ML API information to answer or route a caller correctly.
- A call outcome should create, update, or notify something in AI/ML API.
- The receiving team will act on the record after the call.
Do not add the integration only because it appears in the catalog. Start with one action that removes a real manual handoff.
Before you begin
Prepare the following:
- A published DialNexa agent that has already passed a basic test call.
- Access to the DialNexa workspace Integrations page.
- A AI/ML API account with permission to read or update the required records.
- One test record that does not affect a live customer.
- A list of actions that can run automatically and actions that require human review.
Choose how to connect AI/ML API
Build the AI/ML API voice AI workflow
- Define the exact event that starts the action, such as a confirmed booking, qualified lead, support escalation, or completed call.
- Choose the connection method from the table above.
- Map caller identity, the DialNexa call ID, the verified outcome, and the destination record ID.
- Add a condition so uncertain, sensitive, destructive, or high-value changes go to a human-owned queue.
- Store the destination record URL or ID with the call result so your team can trace the handoff.
- Test success, no-match, duplicate, permission-error, and timeout cases before using live traffic.
Data to map between DialNexa and AI/ML API
- DialNexa call ID, call direction, status, and final outcome
- Caller name, phone number, email, and matched customer or account ID
- Structured fields collected during the call, including consent where required
- Short operational summary, requested next step, owner, and due date
- Transcript or recording link only when your privacy policy allows it
- AI/ML API record ID, record URL, update timestamp, and integration result
AI/ML API actions to evaluate
The following examples come from the catalog metadata or common workflow patterns. Confirm the current action name, required fields, permissions, and limits in your AI/ML API account before implementation.
- Create message
- Update message
Start with one low-risk read or write. Add more actions only after the first handoff is reliable.
Verify the AI/ML API integration
Run a test call and confirm that:
- The workflow finds the intended AI/ML API record instead of creating a duplicate.
- Only the approved fields change.
- The DialNexa call ID is stored for traceability and retry protection.
- A failed request creates a visible error or human-owned task.
- The receiving owner can open the AI/ML API record and understand the next step without reading the full transcript.
Troubleshoot AI/ML API integration issues
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