Meeting AI features have converged across Teams, Webex, and Zoom. The vendor decision used to come down to feature lists. It doesn't anymore.
So how do enterprise buyers choose? The decision now turns on four architectural questions: where your work data already lives, which LLM you need to use, where AI inference must happen, and how mature your voice AI needs to be on day one. The right answer depends on which scenario you're in.
In a recent Pure IP webinar, Patrick Watson from Cavell, Rakesh Unni from Pure IP, and Tom Arbuthnot from Empowering.Cloud discussed how enterprise buyers should make this decision in 2026. The full recording runs through the four architectural questions, what each platform does well, and where voice AI is heading next. Watch it here.
The feature race is over
Independent testing from TestDevLab placed the four major UCaaS AI products within three percentage points of each other on accuracy. Zoom AI Companion scored 81.35%, Microsoft Copilot 80.75%, Webex AI Assistant 80.20%, and Teams Intelligent Recap 78.63%.
In a recent Pure IP webinar, Patrick Watson from Cavell framed why this matters at the business level. "Using AI to drive better efficiency and productivity is a top three strategic priority for businesses for their communication services," he said.
AI in Unified Communications has moved from option to expectation. The three platforms now ship transcription, summaries, action capture, and agentic workflows. The question is no longer who has them. It's whose architecture fits your environment.
Where does your work data already live?
This is the question that decides the Microsoft deal.
Microsoft 365 Copilot is multi-model. OpenAI is the default. Anthropic Claude Sonnet 4 and Opus 4.1 have been available in Copilot Studio since January 2026. The M365 E7 Frontier Suite went general availability on May 1, 2026, bringing multi-model Copilot together with Agent 365 in one bundled SKU at $99 per user per month.
But the model choice is not Microsoft's main advantage. The advantage is that your work data is already there. SharePoint, OneDrive, Outlook, Teams chats, calendar invites, meeting transcripts. Copilot sits on top of all of it via Microsoft Graph.
The buyer scenario where Microsoft wins is the M365 incumbent: an enterprise already on E3 or E5, with most of its knowledge work flowing through Microsoft applications, and a buying committee that values one identity and governance model across the entire stack.
The trade-off is cost. Microsoft 365 Copilot adds roughly $30 per user per month on top of an existing M365 license. For a 5,000-person enterprise, that is $1.8 million per year in incremental spend on top of E3 or E5. Microsoft's argument is that you're not buying meeting AI for $360 a year. You're buying access to your own data across the whole platform.
Which LLM do you need to use?
This is the question that decides the Cisco deal.
Cisco is the only one of the three offering true bring-your-own-LLM today, at least at the platform layer. Through Webex AI Assistant's integration with Amazon Bedrock, IT administrators can select the model that powers Webex AI inside Control Hub, with Llama and Mistral available alongside Cisco's in-house transcription model.
Rakesh raised this directly on the webinar: "Cisco are the only ones offering bring your own LLM," he said, "because there are certain use cases where you don't need an expensive LLM. You can just run your own open source LLM on your infrastructure."
The buyer scenario is the enterprise with an existing LLM relationship outside Microsoft. Maybe a negotiated OpenAI enterprise agreement at favorable pricing. Maybe a regulated industry running an open-source model on-premises to control inference cost and data exposure.
In those scenarios, BYOLLM is a substantive architectural advantage that no Microsoft or Zoom equivalent currently matches. Cisco also announced bi-directional integration between Webex AI Assistant and Microsoft Copilot at Cisco Live EMEA 2026, so the model choice does not sever the customer from the broader Microsoft ecosystem.
Where does AI inference have to happen?
This is the question that decides regulated industries.
Cisco's answer is the most developed here. Webex Calling Hybrid keeps call control on-premises while accessing cloud AI when ready. Cisco AI PODs, NVIDIA-accelerated and architected by Cisco, bring AI to the Cisco Meeting Server for air-gapped deployments with no cloud dependency. Transcription is managed in-house, which means meeting data does not leave Cisco's infrastructure.
Patrick framed why this is becoming a buying requirement, not a preference. "As organizations push deeper on AI, they need more data to train, more data to tune, they run more models," he said. "But the more data you depend on, the more you run into potential sovereignty questions."
The buyer scenario covers financial services under DORA, healthcare under HIPAA, public sector under FedRAMP or NIS2, and any sector subject to emerging AI Act provisions in the EU. For these buyers, the question is not which AI is best. It is which AI can be deployed under their data residency, processing location, model provenance, and audit trail requirements.
Microsoft offers identity and governance depth across M365 that no other vendor matches. Zoom's federated approach gives administrators model choice. For strict-residency or air-gapped deployments, Cisco has the most complete on-premises story today.
How mature does your voice AI need to be on day one?
This is where the picture changes. Meeting AI has converged. Voice AI on the PSTN has not.
Cisco and Zoom both have native AI inside PSTN call flows in production today. Webex AI Receptionist, scheduled for general availability in the first half of 2026, handles inbound call routing and appointment booking around the clock. Zoom expanded its agentic AI across Zoom Phone in March 2026, including AI-generated call summaries and an SMS-enabled AI Receptionist for Zoom Virtual Agent.
Microsoft is catching up. The Frontier Program is currently rolling out Copilot capabilities for Teams Phone, including call delegate and intelligent screening. None of these are at parity with
The buyer scenario is the enterprise where voice AI is part of the immediate use case, not the roadmap. Contact center modernization or AI receptionist deployment, for example. If voice AI matters in 2026, Cisco and Zoom are ahead.
The problem none of them solve
There is a structural problem that platform-layer AI shares.
Rakesh laid it out on the webinar. "Most global enterprises today are not running single platform," he said. "They've got Teams in the head office, they've got Zoom in AUS subsidiary, they've got Webex in Asia Pacific. They probably have a legacy PBX sitting in a factory. And each of it has its own voice AI bolted on, its own transcription, its own copilot and none of them talk to each other."
Picking the right UCaaS platform for the dominant environment is the right move. But if the enterprise runs more than one, choosing between Teams, Webex, and Zoom does not address the fragmentation. Each platform's AI works inside its own boundary.
"The only place you can do that is at the network level," Rakesh continued, "at the SIP trunk or on the call path itself."
That is a different conversation. It is the layer where Operator Connect and Direct Routing live, and it is the layer where multi-platform voice AI is starting to emerge. Worth thinking about separately from the UCaaS decision itself.
Frequently asked questions
Is Microsoft Copilot worth it compared to Zoom AI Companion?
The answer depends on where your work data already lives. Microsoft 365 Copilot adds about $30 per user per month and connects to SharePoint, OneDrive, Outlook, and Teams via Microsoft Graph. Zoom AI Companion is included in paid Zoom Workplace plans at no extra cost. For Microsoft 365 incumbents, Copilot's data access often justifies the cost. For Zoom-first enterprises, AI Companion delivers stronger price-to-value.
What is BYOLLM and which UCaaS platforms support it?
BYOLLM means bring-your-own large language model. Cisco Webex offers BYOLLM via Amazon Bedrock, letting administrators select Llama, Mistral, or other models through Control Hub. Microsoft Copilot supports multi-model selection inside Copilot Studio but is currently limited to OpenAI and Anthropic Claude. Zoom uses federated AI across its own models plus OpenAI, Anthropic, and NVIDIA Nemotron, but does not yet expose customer-controlled BYOLLM the way Cisco does.
Which UCaaS platform has the best AI for regulated industries?
Cisco gives the strongest position for regulated buyers today. The combination includes in-house transcription managed inside Cisco's own infrastructure, Cisco AI PODs for air-gapped deployment, Webex Calling Hybrid for on-premises call control, and a published responsive data policy that documents which models process which data. This combination matters most in financial services, healthcare, public sector, and any sector subject to emerging AI Act provisions in the EU.
Why is Zoom AI Companion free?
Zoom bundles AI Companion into paid Zoom Workplace plans at no additional cost. The federated AI architecture combines Zoom's own LLMs and SLMs with OpenAI and Anthropic models, plus open-source options like NVIDIA Nemotron, letting Zoom select the most cost-efficient model for each task. The Custom AI Companion add-on covers cross-platform skills, custom workflows, and connections to third-party data sources.
Can I run voice AI across Teams, Webex, and Zoom together?
Not at the platform layer. Each platform's voice AI works inside its own ecosystem. Cross-platform voice AI requires inference at the network layer, where SIP trunks and call routing live, not inside any individual UCaaS application. This is an emerging architectural pattern for enterprises running mixed UCaaS estates.
