NiCE has plenty to celebrate after its second-quarter earnings call, but the vendor also revealed the work customers must do before AI can deliver at scale.
The company secured its largest-ever CXone and Cognigy deal, a nine-digit total contract value agreement with HM Revenue & Customs. It also landed another eight-digit annual contract value win with one of the largest healthcare organizations in the US.
But behind the landmark deals and upbeat AI adoption figures, NiCE also offered a more grounded assessment of where enterprise customer experience AI is today.
Customers are buying in, but they are not necessarily ready to scale straight away, as Scott Russell, CEO of NiCE, explained:
“Customers are taking a measured approach as they prepare their data, the governance, [and] the operating models before they scale AI across all the use cases.”
This detail is particularly significant for contact center leaders. The industry’s agentic AI conversation is increasingly focused on deployments, not pilots. Yet NiCE’s call suggests that getting from a signed contract to a fully operational AI-enabled CX operation remains a slower, more complicated process.
NiCE Lands Its Largest-Ever CXone Deal
The headline from the call was undoubtedly the HMRC win.
Working with Capgemini, NiCE will provide its unified CX AI platform to help the UK tax authority modernize citizen engagement.
NiCE described the agreement as an eight-digit ACV deal and a nine-digit TCV deal, its largest ever for both CXone and Cognigy.
That is a major statement of intent from a public-sector organization with a vast, highly regulated service operation. It also offers a useful counterpoint to the idea that agentic AI is largely limited to low-risk customer service use cases.
Meanwhile, NiCE said it had also won an eight-digit ACV agreement with a large US healthcare organization. The customer selected CXone and Cognigy, with Accenture involved in the deployment, to advance customer engagement on a unified AI platform.
Production AI Is Growing, But the Conversion Gap Remains
NiCE was also keen to stress that it is seeing real AI deployments, rather than a collection of proof-of-concepts.
Russell said that “virtually all” of the company’s AI revenue is now coming from production deployments. He also stated that nearly every enterprise CXone deal during the quarter included AI.
There are examples to support the claim:
TripAdvisor, an existing CXone customer, reportedly moved from concept to its first automated voice calls in two and a half months. NiCE said the company’s AI agent has achieved a 90% customer sentiment score, compared to 71% for human agents.
GXBank, Malaysia’s first operational digital bank, has built its CX operation on CXone. According to NiCE, the bank is achieving 95% customer satisfaction and 95% first-contact resolution, while AI autonomously resolves 70% of chat interactions.
Those are eye-catching figures. However, they are vendor-reported customer examples, and NiCE did not provide broader data on average containment rates, implementation timelines, escalation levels, or the number of CXone customers now running agentic AI at scale.
The Q&A also exposed a timing issue.
An analyst noted that NiCE’s net-new AI annual recurring revenue appeared lower than in the same quarter last year, despite the company reporting record AI bookings.
Beth Gaspich, CFO of NiCE, attributed this to “the conversion of timing,” adding that the company expects expansion to show up more clearly in ARR during the second half.
For contact center leaders, this is less a financial footnote than an implementation reality. Major AI commitments are being made, but enterprises are still working through the prerequisites needed to put those commitments into action.
Competition Is Intensifying
It’s no secret that NiCE is operating in a very competitive market.
Indeed, during the call, an analyst asked whether the company was encountering competition from Genesys, AI-native vendors such as Sierra and Decagon, and Salesforce’s Agentforce Contact Center.
Russell was candid in his response, stating: “The answer is probably all of the above.”
NiCE’s counterargument rests on platform breadth. Cognigy is now fully native to CXone, with what the company describes as a single application, shared data layer, and deployment experience.
Russell argued that NiCE is uniquely placed to orchestrate a hybrid workforce across voice, digital channels, human agents, and AI agents.
He also emphasized openness, stating that its platform can work with proprietary, open-weight, and future models rather than tying customers to one large language model.
That may prove persuasive, particularly for large organizations looking to avoid another standalone AI tool. Yet it will not remove the pressure from AI-native specialists, which are often able to move quickly, or from enterprise incumbents that can bundle AI capabilities into wider CRM and service platforms.
A Strong Quarter, With an Important Caveat
NiCE’s Q2 call offered convincing evidence that large organizations are prepared to make serious CX AI investments.
The HMRC and healthcare wins, alongside TripAdvisor and GXBank’s results, show that AI is moving into substantial service environments. NiCE also said its AI ARR rose 52% year over year and that AI now represents 15% of cloud revenue.
Still, the message beneath the numbers is more nuanced.
AI bookings may be rising, but data readiness, governance, operating-model changes, and deployment timing are still determining when customers see value.
NiCE has the deals. The next test is how quickly those deals become repeatable, measurable CX outcomes at enterprise scale.
