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NewsContact Center17m · 12:01 GMT · 6 min read
CX AI Moves Further Into Workflows and CRM Control
Five9’s Level AI deal, Alchemer Voice, and Microsoft’s Gartner recognition point to the same CX technology question: whether AI can move from isolated insight and automation into accountable operating systems that teams can deploy, manage, and improve without forcing a platform reset.
CX AI is getting judged less by the sophistication of the demo and more by where it lands inside the operating model.
That is what stood out to me across three very different announcements. Five9 is buying Level AI to deepen its AI application layer. Alchemer is turning customer conversations into a broader feedback intelligencesition across CRM customer engagement and contact center technology
Different moves, different categories, same pressure point: CX buyers are asking whether AI can improve the way work is handled, measured, and governed inside real service environments.
Five9 Buys Level AI to Widen Its CX AI Layer
Five9’s agreement to acquire Level AI is the most commercially direct signal in this set.
The deal is valued at approximately $325 million, funded in cash from Five9’s balance sheet, and is expected to close in 2026, subject to closing conditions. Five9 says Level AI will become part of the AI application layer within its Genius CX Platform, while Level AI’s standalone products will continue to support enterprises using on-premises environments or other cloud platforms.
That last point is important. Five9 is not only adding AI features. It is also buying a route into enterprises that want AI capability before they are ready to change their contact center infrastructure. Amit Mathradas, Chief Executive Officer at Five9, framed the deal around human and AI coordination:
“Our vision for the future of CX is one where AI and human agents work as a coordinated system, each making the other better.”
Level AI brings AI agents, agent assist, quality management, Voice of the Customer, coaching, and AI Workers into the Five9 story. It also brings Level AI Latitude, a family of CX-focused models that Five9 says can deliver lower costs and latency than frontier models while giving enterprises more control over data privacy.
The acquisition points to a bigger contact center pattern. Vendors know that the next round of AI differentiation will sit in the management system around interactions: quality, coaching, insight extraction, workflow automation, and the ability to make every conversation improve the next one. Ashish Nagar, Founder and Chief Executive Officer of Level AI, captured that operating-model logic:
“We built Level AI so every customer conversation makes the next one better, for customers and for the people who serve them.”
Five9 already has scale, with more than 4,000 customers across over 140 countries. Level AI adds a conversation intelligence layer that reportedly handles more than one billion customer interactions annually. The strategic question is how quickly Five9 can turn that into practical advantage for customers without making the AI layer feel like another stack of disconnected tools.
Alchemer Voice Pushes Feedback Teams Toward Conversational Evidence
Alchemer Voice addresses a different part of the CX operation, but it follows the same logic.
The product uses purpose-built AI to analyze customer calls, support tickets, and other recorded voice feedback. Alchemer says CX, product, support, and marketing teams can ask questions in plain language and receive evidence-based answers grounded in real customer conversations.
For feedback teams, that matters because many Voice of the Customer programs still over-index on what customers tell the business through formal channels. Surveys, web feedback, and mobile prompts capture valuable signals, but they often miss what customers say during renewal calls, sales conversations, support escalations, and risk moments.
Ryan Tamminga, Chief Customer Officer at Alchemer, argued that organizations already have access to those signals but struggle to use them:
