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On Nov. 12, 2026, NiCE launched an updated version of its NiCE Cognigy conversational and agentic AI platform, reworking the product around AI agents rather than the natural language understanding (NLU) intents and deterministic flows on which Cognigy built its reputation. With this release, NiCE aims to shorten the path from idea to production-ready AI agent while giving builders visibility into how those agents reason and act. The new capabilities include:

NiCE positions the platform as hybrid by design, letting customers pair autonomous agents with structured flows, safeguards, and governance controls. Existing deployments can keep running unchanged, with current customers receiving the next generation as part of their ongoing NiCE Cognigy service, adopting the new capabilities on their own timelines, NiCE said during an analyst briefing.
NiCE did not disclose pricing. It said the conversation price covered default AI models, with no separate model contract required, while premium STT, TTS, and LLM models from Anthropic, Deepgram, and ElevenLabs were available with usage-based billing; customers can also retain their own model contracts.

Within four days last week, Salesforce agreed to acquire Cresta, Dialpad announced a merger with Ada, and Five9 announced that it’s buying Level AI. Each of these deals folds conversational AI specialists into broader customer experience (CX) platforms and puts a perennial question squarely in front of CX leaders: Should AI agents come from a unified platform or a best-of-breed specialist? Metrigy’s 2026 AI and CX research studies suggest enterprises have already answered, and the answer is, “Both.” 

In our Contact Center & Beyond: Elevating CX 2026-27 study, conducted in the third quarter, 57.2% of the 626 participating companies see value in buying as many applications as possible from a single provider. Yet our AI’s Role in Customer Experience: 2026-27 study, conducted in the second quarter with 759 companies, shows an average of 12 vendors with AI capabilities in place across CX stacks. The companies getting the most from AI don’t resolve that tension so much as exploit it: 76.5% of the  Contact Center & Beyond study’s Success Group, drawn from companies reporting above-average gains in key business measures from AI’s use, see value in a single provider, while 62.9% of the most successful companies  in our AI’s Role in CX study plan to add AI vendors in the next year.

A Week of Deals: The Specialists Fold Into the Platforms

The terms of the deals tell their own story. Salesforce’s deal for Cresta, which offers voice agents, real-time agent assist, and conversation intelligence, comes at a reported $2.7 billion; Five9 will pay $325 million in cash for Level AI, whose AI agents, agent assist, and quality management run on a shared conversation-intelligence layer; and the all-share Dialpad-Ada combination reportedly values Ada at roughly $430 million.

None of these deals arrives in a vacuum. NiCE closed its acquisition of Cognigy, an enterprise conversational and agentic AI provider, in September 2025 in a deal reported at about $955 million; Genesys bought agent builder Pinkfish in June 2026; and Salesforce struck a reported $3.6 billion deal for Fin, the AI customer service business formerly known as Intercom, that same month. The pattern is hard to miss: The conversational AI software, long the technology that CX leaders bolted on top of a contact center or customer relationship management (CRM) system, is becoming part and parcel of the platform itself.

Read the fine print, though, and the acquirers are hedging. Salesforce says Cresta “will continue to support the leading contact center and telephony platforms its customers rely on today”; Five9 will sell Level AI both inside its platform and as a standalone product; and NiCE positioned Cognigy the same way, as part of the CXone platform and as an independent offering.

An Old Question, Recast for AI Agents

Consolidation complicates the sourcing decision rather than settling it. A company that chose Cresta, Level AI, or Ada for its focused expertise now finds that specialist sitting inside a platform it may or may not use, with roadmap priorities that will inevitably tilt toward the new parent. Conversely, a company that standardized on a unified platform that brings together CRM, contact center, knowledge, and AI natively gains capabilities it might otherwise have had to integrate on its own.

Metrigy’s research offers a closer look at how CX leaders are navigating the decision and why those who are seeing the strongest results from AI decline to pick a side.

The Data: Platform Instincts, Multivendor Reality

The platform instinct runs deeper than a general preference for fewer providers. Participants in our Contact Center & Beyond study would like, on average, 48.4% of their tech stack to come from one provider, and when asked to rank which components matter most to source natively from the same provider, they placed AI agents second, behind only CRM and ahead of knowledge management. Additionally, 67.0% say the coordination of AI, humans, data, and workflows to determine the next-best action in a customer journey, otherwise known as “AI orchestration,” belongs in the core of a platform rather than at its edge.

The multivendor reality runs just as deep. In our AI’s Role in CX study, 46.3% of companies plan to increase the number of AI vendors they use in the next 12 months, and they buy AI agents from one or more of a range of provider types. This includes CRM providers (68.9%), contact center as a service (CCaaS) providers (38.5%), and AI specialists (28.5%)—precisely the three vendor types the recent deals are blurring together.

Our CX Assurance for AI-Powered Contact Centers: 2026-27 study, conducted in the third quarter with 428 companies, shows how this plays out operationally: 47.8% of companies assure their AI agents with a mix of native platform tools and a centralized tool, 25.3% use one platform-agnostic tool, and 19.1% rely on each platform’s native tools in silos.

Success Group data is telling, too. In our Contact Center & Beyond study, 76.5% of the Success Group see value in a single provider, as noted, vs. 62.7% of the Non-Success Group; in our AI’s Role in CX study, 62.9% of the Success Group plan to add AI vendors, as noted, vs. 38.8% of the Non-Success Group. Top performers, in other words, want a strong core platform and are still willing to go outside it.

Weighing the Tradeoffs: Neither Path Comes Free

The unified platform’s appeal is real, and our data shows where it comes from:

On the other hand, the platform route has costs, and last week’s deals make them hard to ignore:

Best of breed offers the opposite tradeoffs. Specialists have historically moved faster on reasoning, voice, and conversation intelligence, which is precisely why platforms are paying to acquire them. Additionally, our Contact Center & Beyond research shows AI specialists rising from the primary customer interaction platform for 27.7% of companies today to 48.1% by the end of 2028. The cost is sprawl. A dozen AI vendors means a dozen data models, pricing schemes, and governance regimes, and with 44.3% of companies in our CX Assurance study experiencing an AI incident at least monthly, failure to escalate to a human (45.2%) chief among them, a gap between two vendors quickly becomes a customer’s problem.

Standards such as the Model Context Protocol (MCP), which lets AI agents connect to applications and data without custom integrations, promise to ease that burden—and Genesys’s acquisition of Pinkfish, whose prebuilt MCP-based tools connect AI agents to common enterprise applications, signals that platform providers see as much. Adoption is still early, however: Fewer than 20% of companies in our Contact Center & Beyond study use MCP to connect CX applications today, though 37.2% plan to by 2027.

The Answer Is Both—With Conditions

The acquirers themselves seem to concede that the either/or framing is a false choice. By keeping Cresta, Level AI, and Cognigy available to customers of competing platforms, they’re betting that buyers want a strong platform core with an open door. That is, not coincidentally, what top performers in our research are already doing. 

For CX leaders whose AI agent provider just changed hands, or might soon, the questions worth asking now include:

Last week’s deals won’t be the last, and CX leaders who treat consolidation as a reason to revisit their sourcing strategy will be better positioned for the next one, choosing a core platform for shared data and orchestration while reserving the right to bring in specialists where they demonstrably outperform, and holding every AI agent, from every source, to the same standard of assurance.

Margin isn’t what wins channel partners anymore. In this MetriSight episode, Metrigy’s Robin Gareiss and Matt Craig share new research showing that partners now choose vendors for technology innovation and AI expertise, while enterprises are buying direct more and more often. The conversation looks at how AI is changing vendor selection across the channel and what that means for vendors and partners competing for the same customers. It closes with practical steps both sides can take to stay relevant as the market changes.

Work location policy remains in a state of flux. Metrigy’s Workplace Collaboration and Employee Experience 2027 global study of 403 organizations found that one-third require knowledge workers in the office full time, and those with hybrid policies require an average of 3.5 in-office days per week.

With mandates this common, attendance data such as badge swipes and desk occupancy might be expected to serve as the main yardstick for hybrid work. However, our research shows that attendance is a secondary measure for most organizations, and that the companies seeing the greatest results from collaboration technology rely more heavily on what employees tell them. The difference between counting people and understanding their experience is where IT and business leaders have the most room to improve how they evaluate work location strategies.

Attendance Is One Measure Among Several

When asked how they evaluate the success of their remote or hybrid work strategy, research participants most often cite cost savings and employee surveys, each named by more than half. About half track employee turnover, while roughly one-third (35.7%) use in-office attendance, placing it near the bottom of the list alongside environmental metrics. Very few organizations don’t actively evaluate their strategy at all.

Attendance data supports real-estate planning and helps justify investment in meeting rooms and reservation software. However, it shows where people work rather than how well they work or whether they plan to stay. Among organizations that require office time, the most common reasons are better informal collaboration and higher productivity, each cited by about half, and neither outcome shows up in an attendance report.

Successful Organizations Ask Their Employees

Metrigy’s Success Group for this study consists of the 95 organizations reporting above-average gains in productivity, cost reduction, and employee satisfaction from workplace collaboration technology investments. These organizations use employee surveys to evaluate hybrid work far more often than others, at 70.0% vs. 53.5% of the Non-Success Group, and they are also more likely to track environmental metrics.

The same pattern appears in how organizations measure their broader collaboration strategy. Employee feedback is the most common success measure overall, and the Success Group uses it at about the same rate as everyone else. Where successful organizations differ is in adding direct evidence of results, measuring productivity gains at 53.2% vs. 41.3% of others and tracking business process improvements more often.

This emphasis on employee input doesn’t mean successful organizations are moving away from the office. Those that require office time are the most convinced that the office raises productivity, and more than half of the Success Group expects its office space to grow in 2027. They also give employees more choice, with 34.0% operating fully flexible policies vs. 20.1% of others.

Formal Engagement Measurement Is Spreading

Just over half of organizations have a formal approach to measuring employee job satisfaction and engagement, and many more plan to implement one by the end of 2027. Adoption rises with company size, from fewer than half of small organizations (fewer than 250 employees) to most mid-size firms (between 250 and 2,500 employees).

Almost no Success Group organizations rule it out, while a small share of the Non-Success Group has no plans. Successful organizations also involve HR in collaboration technology decisions more often than the Non-Success Group, which may help connect engagement findings to the tools employees use every day.

Employee Experience Platforms Provide the Channel

Measuring engagement at scale depends on a consistent way to reach a distributed workforce. Our research shows that about half of organizations use employee experience platforms designed for community building and company-wide information sharing, and roughly one-fifth more plan to deploy one by the end of 2027.

The Success Group leads adoption, with nearly two-thirds using one compared with fewer than half of others, and no Success Group organization reports having no plans to adopt one. These platforms aren’t engagement measurement tools in themselves, but they provide the ability to share information and gather input across office, hybrid, and remote employees in one place.

From Occupancy Reports to Employee Experience

The same difference shows up in how organizations use desk and room reservation software. Space utilization reporting is the top feature for the Non-Success Group and the only feature it uses more often than the Success Group. Successful organizations use more of the platform, led by the ability to sit near colleagues, and are nearly twice as likely to use healthy-workplace monitoring.

What IT and Business Leaders Should Do

For companies not already doing the following, Metrigy recommends:

Successfully evaluating hybrid work requires understanding where employees work, measuring how engaged and productive they are, and acting on what they report. Attendance data answers the first of those questions, and successful organizations ask their employees for the rest.

For more on the study, see https://www.metrigy.com/product/workplace-collaboration-and-employee-experience-2027/.