From an expanded RingCentral and NiCE partnership to Microsoft’s fresh agents-as-a-service play, here are extracts from this week’s most popular news stories.
Can RingCentral and NiCE Finally Unite UCaaS and CCaaS?
RingCentral has renewed its ability to market and sell RingCentral Contact Center, powered by NiCE CXone, for another year.
In addition, NiCE will resell RingCentral’s RingEX UCaaS platform under a new multi-year agreement.
As enterprises increasingly demand employee communications and customer experience technologies that work more closely together, this could be a significant move for both vendors.
Blair Pleasant, President and Principal Analyst at COMMfusion, summed up that demand in a LinkedIn post, where she wrote:
“Finally!!! NiCE knows that some customers want a fully-integrated #UCaaS + #CCaaS or #CX solution, and it’s a checklist item on some RFPs.”
Indeed, NiCE has long been one of the dominant enterprise CCaaS players but has lacked a fully-fledged UCaaS offering alongside CXone. RingCentral, meanwhile, has sought to expand its relevance in larger enterprise CX deployments.
The expanded deal gives both companies a more compelling answer for buyers looking to procure the two together (Read more…).
From SaaS to Agents-as-a-Service: Microsoft’s Aims to Redefine the CX Tech Stack
With consumption-based billing and ‘agent-first’ architectures taking over, contact center budgets and workflows are about to become unrecognizable.
Microsoft’s Q4 FY2026 earnings call showed CX leaders how quickly enterprise software is shifting from static seats to metered AI work.
The main headline is that customer service is becoming one of the clearest proving grounds for a new software model: Agents-as-a-Service.
For years, CX leaders bought CRM, contact center, and productivity software by the seat. Microsoft is now pushing a different commercial logic, where companies pay for access, usage, and autonomous actions. That shift will change how contact center leaders budget, measure value, and design work.
Satya Nadella, Chairman and CEO at Microsoft, positioned the change as a wider enterprise model:
“This is the first time where you really have an enterprise-wide tool, which has a both per seat and usage-based pricing. The TAM is much more expansive.”
Uber Cuts 10% of Customer Service Team as AI Reshapes CX Operations
Uber has cut 10% of jobs within its customer service operations as the ride-hailing giant looks to simplify its organization and “embrace artificial intelligence.”
The cuts affect Uber’s community operations team, the function responsible for customer and platform support across its marketplace. Remote workers in the team have also reportedly been asked to relocate to an Uber hub office, in line with the company’s broader return-to-office mandate.
Megha Yethadka, Uber’s VP of Global Community Operations said the move is designed “to simplify operations, strengthen in-person collaboration, and continue to embrace AI.”
“We cannot scale frontier technology on top of fragmented processes.”
That comment is the most important line for customer experience leaders. It suggests Uber’s cuts are not simply a story of AI replacing agents. They are also a restructuring move aimed at preparing a large support operation for automation by reducing complexity first (Read more…).
Meta’s Decision to Invest “Aggressively” in AI Infrastructure Raises Investor Concerns
Meta positioned its messaging ecosystem as a major new frontier for AI-powered customer engagement after moving into full deployment in Q2, supported by an audience of 3.6 billion people who use at least one of its apps every day.
Its global rollout of Business Agents across WhatsApp and Messenger, alongside a new enterprise platform, signals that CX leaders must now consider how conversational AI can support discovery, service and sales in the channels customers already use.
However, the media conglomerate’s rapid AI investment raises the question of whether automation alone can build produce better experiences.
Mark Zuckerberg, CEO of Meta, framed the company’s accelerated AI investment as a long-term bet on the technology’s broad commercial and product potential:
“We are investing aggressively because the potential is huge, and we know that there are many ways to deliver value here.”
