Analyst Perspectives

There is a growing sense of confusion and uncertainty among buyers when it comes to pricing for customer experience (CX) and contact center technology. Pricing does become more complex when technology innovates, creating broader options for mixing and matching features or more choices of the types of platforms people can use. In this industry, conditions have changed so quickly that the array of...

It’s clear that the buyer requirements for Contact-Center-as-a-Service (CCaaS) products have moved well beyond traditional notions of “cloud” or “omnichannel” and now focus on how well software providers can make artificial intelligence (AI) workflows real. The differentiation among CCaaS platforms is not so much about how well interactions are handled, but how the platforms embed within complex...

Contact center software is evolving faster than the companies that make it. The tools that operated centers remained very stable for decades and then in a very rapid period shifted away from voice and telephony towards digital interactions and broader forms of customer engagement. It’s been a natural, even expected, transition, given how the rest of the software universe has injected artificial...

It’s increasingly clear that, for software providers, focusing exclusively on contact center operations is a pathway to oblivion. Voice is no longer the organizing principle around which businesses structure their customer support—instead, we are fully in a world where automated self-service is the default and digital interactions are the norm. Enterprise buyers looking to modernize their contact...

Enterprise customer experience (CX) usually focuses on the moment of communication between a customer and a business, assessing the customer’s state of mind and the outcomes of specific, limited interactions. But there’s another important context that drives customer behavior, and that’s the on-site experience of technical support. Field service is often out of the line of sight of CX planners,...

There are many reasons why the contact center market is in flux, but chief among them is the drive towards convergence: traditional telephony, digital channels, customer relationship management (CRM), workforce tools and analytics are expected to operate as a unified system, rather than as a set of disconnected point solutions. This creates a problem for enterprises: how to modernize their...

It’s clear that the contact center industry is experiencing a generational technological transformation. The effects of artificial intelligence (AI) and the automation it delivers have been extraordinary. But this isn’t the first time something like this has happened. People with long memories can recall the disruptive effects of CTI, for example, which enabled screen pops and integration of...

There is a shift underway in how enterprises structure their software stacks in relation to contact centers. Multiple factors have coalesced to reduce the importance of the traditional call handling infrastructure (i.e., the ACD) as the foundational element of the tech stack. It no longer has to be the focus of buying or deployment decisions. It’s been superseded by a more extensible (but...

Analyst summits are not where software providers go to make news, it’s where they seek to clarify and validate what they’ve already done and lay out strategies for the future. October’s NiCE summit in Vienna was an opportunity to take stock of the enormous changes artificial intelligence (AI) has wrought in the service industry and put NiCE’s recent moves into context.

Verint held its annual Engage conference in September, shortly after it announced the news that it had agreed to be acquired by private equity firm Thoma Bravo for $2 billion. The new ownership plans on merging Verint with its competitor, Calabrio, after the deal closes in 2026. That sequence of events raises many important questions about the direction of both companies and the sector...

The idea of customer experience (CX) as a business practice relies heavily on being able to understand and track customer journeys. And that can be tricky because there isn’t a standard definition as to what a journey consists of. For example, inside a contact center the journey is perceived in terms of the steps a customer takes to achieve a particular result. Sometimes that is broadened out to...

When building or outfitting a contact center, the core question that must be answered is: what software provider or system is foundational? For decades, the fundamental element was the routing engine, but as technology moved to the cloud, the primacy of the voice ACD receded. As it did, it became possible to conceive of a tech stack that’s not organized around routing but instead is focused on...

I am struck by the blizzard of software announcements this year describing new features for CX tools that are “agentic,” meaning autonomous tools take actions without (much) human intervention. Industry conversation about agentic AI has proceeded ahead of clarifying definitions and a sense of how it fits on a continuum of rapid AI development.

There is an industry assumption, call it a consensus, that increasing the degree of personalization in customer interactions is beneficial: it improves loyalty, lifetime value, CSAT and other key metrics. Core to this assumption is that it benefits both the customer and the business. Whether or not that’s actually true is somewhat beside the point. The fact is that the industry has identified a...

The development of artificial intelligence (AI) has transformed the idea of customer experience (CX) from a piecemeal, manually directed practice into a more streamlined and disciplined activity. The available technology has become so diverse and expansive that it is allowing enterprises to cope with a two-headed problem: providing more personalized and effective experiences is complex, and once...

Conversational automation is one of those software segments that means something different depending on who you are or your role in an organization. According to my colleague Jeff Orr, the core of the idea is that conversational automation tools benefit from artificial intelligence (AI), allowing software agents, chatbots and virtual assistants to automate customer interactions and internal...

Most of the discussion and planning around artificial intelligence (AI) tools for contact centers and CX has focused on finding appropriate use cases and understanding how to deploy these tools. There are already plenty of success stories about enterprises reducing friction for agents, saving time and expanding the breadth of interactions that can be handled automatically.

There are contact centers, and there is customer experience. They are not the same thing, even though we have a tendency to conflate them or at least discuss them in tandem for operational and planning purposes. This is mostly fine, but it does obscure one basic difference that will matter more as enterprises succeed at integrating contact centers into enterprise CX strategies. That difference is...

One way to think about the change in service and support in the current dynamic technological environment is to see it as a transition from managing interactions as they happen to managing the overall customer journey. It’s a lot harder to optimize a journey than an interaction. More people are involved, with different systems, key performance indicators and data sources, to cite just a few...

Zoho’s recent analyst conference was an opportunity to explore how the India-founded software company is faring in its efforts to extend its enterprise business, and to place AI at the center of its product portfolio. It appears the company is having some success on both fronts.