AI Vendors: Your Teams Integration Problem, Solved

If you're building voice AI and your roadmap includes Microsoft Teams, you've probably discovered something frustrating: Teams is a massive market, but it's also one of the hardest platforms to integrate into at scale.

The friction isn't technical complexity alone. It's the combination of three things: your channel partners don't have Teams skills, the integration pathway isn't obvious, and the per-minute cost of routing calls between Teams and your platform makes the unit economics awkward, especially at early scale.

Call Manager solves all three.

The channel problem

Your resellers and system integrators understand voice. They know how to provision phone numbers, configure call flows, and support end users. What many of them don't know is how to wire a third-party AI service into Microsoft Teams Phone without hitting the Microsoft admin center, learning Graph APIs, or hiring a Teams specialist.

That's where Call Manager changes the equation. Your channel partners can now offer your AI agent as a managed object inside a familiar phone system interface. From their perspective, it's not an API integration. It's a call destination, just like an auto attendant or call queue. They tick a box, it works..

What that means for your customers

Your end customers, in turn, don't need to understand the integration at all. They access your AI agent through the same simple portal they use to manage the rest of their Teams Phone system. They can drop it into call flows, route calls to it based on time of day or caller intent, measure usage, and adjust in real time—all without Teams admin credentials or specialist knowledge.

The friction disappears. Adoption accelerates. And because the integration is managed, you get call records, compliance trails, and audit logging as part of the package.

The direct routing advantage

Here's where it gets interesting for your business model.

When a call routes from Teams to your AI platform via the standard PSTN, you pay a per-minute charge. If you're processing millions of calls per month across your customer base, those charges stack fast. And if your pricing model is based on tokens consumed by the AI model itself, the per-minute cost becomes a margin eroder.

Call Manager enables private Direct Routing connections between Teams and your platform. That means no per-minute carrier charges. Calls route directly over your own SIP infrastructure, or via a provider you choose. You only pay for the model inference you actually use.

For early-stage AI vendors, this can be the difference between a viable go-to-market and one that's hamstrung by telecom costs. For established vendors, it's a lever to improve unit economics on large deployments.

Why this matters now

Teams adoption has been accelerating for years. But AI voice integration has lagged. Most AI vendors haven't built deep Teams go-to-market channels because the barrier to entry—teaching resellers how to integrate, managing the per-minute cost structure, supporting customers through a complex setup—has been too high.

Call Manager removes that barrier. Your channel partners can now sell Teams voice AI with the same ease they sell any other phone system feature. Your customers can deploy it as easily as they'd enable an auto attendant.

How to get started

If you're an AI vendor and you want to explore how Call Manager can be part of your Teams strategy, we should talk. We work with vendors across NLP, speech recognition, conversational AI, and contact centre automation. We handle the Teams integration, the channel enablement, and the customer experience. You focus on the model.

We've built Call Manager specifically for this use case: making it simple for your channels to reach the Teams market, and simple for your customers to use what you've built.

Book some time with us today for a friendly chat about how we can help. Link is at the top of the page.