This is the pipeline when the source is a phone call. An IT training and placement company wanted a front desk that runs around the clock without the staffing cost. I put an AI voice agent on the line that captures what each caller needs, books the consultation, and writes the outcome (transcript, tags, next step) straight into their Dynamics 365 CRM and ticketing, at about $0.08 a call. It is the same core job as every build here: pull structured data out of one channel, validate it, and land it clean in another.
Results at a glance
- 24/7 automated booking and tier-1 support
- Met the ≥95% task-completion / containment target
- Real-time CRM logging with transcripts and outcome tags
- ~$0.08 per call (typically 60–90 seconds, usage-based)
- Demo-ready in 2 weeks, full rollout in 6
The problem
Human support was expensive, and staff lost time constantly switching between CRM updates, scheduling, ticketing, and multichannel communication across email, phone, and chat. The repetitive work drained resources, slowed response times, and clashed with the company's modern, tech-forward brand.
What I built
An AI voice agent that answers calls, books consultations, and resolves tier-1 questions, then logs everything back to the CRM in real time.
- Voice: ElevenLabs over Twilio
- Orchestration: n8n coordinating multiple microservices through a custom Model Context Protocol (MCP) server
- Integrations: Microsoft Teams, Dynamics 365 CRM, Outlook calendar, and custom AI tools
- Reliability: tuned over roughly 3-day iteration cycles to hit the ≥95% containment benchmark
Delivered with Loom walkthroughs, full documentation, team training, and optional ongoing maintenance.
The results
The agent went live on schedule. Human workload for basic support and scheduling dropped significantly, faster bookings and response times lifted customer satisfaction, and staff were freed to focus on higher-value engagement and case management.
| Before (manual support) | After (AI automation) |
|---|---|
| High recurring costs | Major labor savings |
| Error-prone integrations | Seamless, automated cross-system flow |
| Slow bookings and ticketing | Fast, self-serve for students |
| Hard to scale | Ready for future outbound automation |
"Noah was fast, communicative, and cracked every integration, some of which we worried weren't even possible. Our complicated set of needs felt manageable for the first time. Staff and students love the new system."
Built with: ElevenLabs, Twilio, n8n, a custom MCP server, Dynamics 365, Microsoft Teams, and Outlook.
Want a voice agent like this? Tell me your stack and goals and I'll send back a build plan and timeline.