MSP partner guide

AI voice agents for MSPs who already own the customer relationship.

Vonics gives MSPs a way to turn phone support, missed calls and routine customer contact into managed workflows without starting from a full contact-centre replacement.

The opportunity

Customers want outcomes, not another AI experiment.

Most small and mid-market customers already have phones, Microsoft 365, Teams, a helpdesk, an accounts system and a messy list of manual call tasks. MSPs can package Vonics as a practical layer over that environment: answer calls, collect intent, summarise conversations, route to a person and trigger the next approved action.

The key is to start with a narrow workflow buyers understand. A missed call becomes a job note. An after-hours support call becomes a ticket. A routine enquiry becomes a Teams handoff with context.

First offers

Good MSP packages start with one measurable call workflow.

  • After-hours answering and summary delivery to email, Teams or a ticket queue.
  • AI call handler for routine triage with human handoff rules.
  • Call recording, transcription and review for customer service quality.
  • Teams Direct Routing and operator handoff for customers standardising on Microsoft 365.
  • Connector projects for Xero, ServiceM8, Cliniko, Zendesk, Jira or custom APIs.

Partner motion

Vonics handles the voice automation layer; partners handle the environment.

The MSP brings trust, implementation context, telephony history and ongoing support. Vonics brings SIP-friendly call control, AI voice agents, transcripts, workflow actions and connector patterns. Together, the offer becomes easier to explain than raw AI: fewer missed calls, cleaner notes, faster handoff and better proof of what happened.

FAQ

Questions MSPs ask before packaging AI voice.

Can it sit beside existing voice?

Yes. Vonics is designed around SIP, Teams, Twilio and existing carrier paths, so an MSP can add automation without forcing a rip-and-replace.

What should we sell first?

Start with a high-friction call type: missed calls, after-hours capture, Level 1 triage, appointment requests or payment reminders.

How do we avoid risky AI behaviour?

Use approved prompts, workflow rules, connector permissions and human handoff paths. The agent should escalate instead of guessing.