As someone who has spent years watching contact center leaders navigate the tension between rising expectations and shrinking budgets, I know the “always on” mandate can feel like an impossible target.
Customers today don’t just want 24/7 service; they want it to be personal, predictive, and effortless, whether it’s 2 p.m. or 2 a.m. If you are a CX leader staring at a legacy infrastructure that struggles to stay resilient during business hours, let alone around the clock, this article is for you.
Why “Always On” Is Now the Minimum Standard
Customers expect brands to be available, responsive, and consistent, every hour of the day, on every channel they choose. Yet many contact centers are still wrestling with legacy platforms that were never designed for that level of resilience or agility.
CX Today's spotlight theme this month, Modernising the Contact Center for Always-On Service, captures a shift already visible in the market. Enterprises are accelerating CCaaS adoption because on‑premises systems are struggling with scale, resilience, and integration. Legacy platforms now limit scalability, flexibility, and the ability to handle seasonal peaks, while operating costs remain stubbornly high and talent is harder to retain.
At the same time, KPMG’s latest Global Customer Experience Excellence 2025-2026 report shows that customer experience is improving across markets, with customers reporting a 1 to 2 percent uplift in overall CX.
Behind that incremental progress is a deeper structural change in how leading organisations design service. KPMG argues that customer experience excellence is shifting from optimizing single touchpoints to building “Total Experience”, defined as:
“The unification of customer, employee, partner, and digital touchpoints into an integrated, intelligent whole that delivers predictable, reliable, and measurable experiences.”
For contact center leaders, that definition is a clear call to rethink both technology stack and operating model.
From Contact Center Modernization to Total Experience
Always on expectations, peak load volatility, slow integration with digital channels, and a persistent gap between customer expectations and service capabilities are now a familiar set of pressures, alongside the technical direction of travel: CCaaS, cloud-native resilience, AI routing and deflection, API-first integration layers, omnichannel orchestration, and workforce optimization.
KPMG’s research provides the strategic frame that sits above these investments. The report identifies five principles of Total Experience that top performing brands have mastered:
- Customer centricity
- Data driven insights
- Seamless integration
- Employee empowerment
- Technology enablement
In KPMG’s words, leaders are now “connecting every person, process, and digital interaction around a consistent, coherent, and human-centered experience.” That is exactly what an always on contact center has to enable. It is no longer enough to extend hours or add more channels. The experience must feel joined up, predictive, and low effort, regardless of when or where the interaction starts.
For CX leaders planning modernization roadmaps, this means viewing the contact center as the experience backbone, not a standalone function. CCaaS platforms, agentic AI, and omnichannel orchestration become the infrastructure that allows Total Experience to operate in real time.
The Six Pillars, and Why Time and Effort Is a Contact Center Problem
KPMG’s Customer Experience Excellence model is built around The Six Pillars of Experience. These are Personalization, Integrity, Expectations, Time and Effort, Resolution, and Empathy.
The 2025-2026 report confirms that Personalization and Integrity remain the strongest drivers of commercial outcomes, leading both Net Promoter Score and loyalty.
However, for always on service, Time and Effort and Resolution are often where contact centers either shine or fail. KPMG notes that:
“Customers increasingly expect experiences that are personal, intuitive, anticipatory, and they expect them every time, everywhere, from every interaction.”
Time and Effort measures how easy it is to get help and complete tasks. Resolution measures how quickly and effectively issues are solved, without repetition or hand off. If we map those pillars onto the common challenges, the gaps become clear:
- Legacy systems make it harder to offer low effort, one and done journeys.
- Limited integration means customers repeat information across channels.
- Capacity constraints slow resolution during peaks and out of hours.
Sector data in the KPMG report underlines how critical these pillars are in operational environments similar to contact centers. For example:
- Retail, which has invested heavily in frictionless journeys, outperforms the cross sector average on Time and Effort by 2.4 percent, with this pillar rising 0.8 percent year on year.
- Airlines, which rely on rapid disruption management, increased their overall CX score by 1.6 percent, driven by a 2.0 percent gain in Time and Effort and 1.8 percent gains in Integrity and Expectations.
- Utilities and logistics, both heavily contact center dependent, lag the global average by around 5 percent, with Time and Effort and Expectations significantly below the norm.
These results mirror what many contact center leaders already feel. When journeys are slow, fragmented, or opaque, it shows up quickly on Time and Effort, Expectations, and Resolution. Modernizing for always on service is ultimately an attempt to move those three pillars in the right direction.
Agentic AI As The Engine of Always On Service
The KPMG report is clear that AI is now central to CX strategy. More than half of CEOs (55%), rank AI as their top investment priority. The report also distinguishes between traditional AI and agentic AI, systems that can independently sense, reason, and act.
KPMG explains that in a Total Experience context, agentic AI plays a dual role:
“As an orchestrator, it coordinates across functional teams, channels, and journeys, ensuring consistency and personalization without the customer feeling the complexity behind the scenes. As a participant, it directly interacts with customers, employees, or partners, answering questions, recommending actions, or completing transactions.”
This dual role aligns closely with always on contact center needs:
- As orchestrator, agentic AI can route across channels and queues, coordinate workforce resources, trigger callbacks, and escalate in real time.
- As participant, it powers AI driven self service, conversational bots, and assistive tools for agents that together absorb high volumes and support 24/7 coverage.
KPMG goes further, describing the goal as “an operating environment where experiences are personal, anticipatory, and effortless, and where the human and digital elements of service work in harmony to improve experience while maintaining integrity and empathy.”
For contact centers, this is a helpful design principle. Always on should not default to bot only. It should blend human and agentic AI in a way that reduces effort, improves resolution, and maintains trust. That blend needs a modern, cloud native platform underneath it.
Why CCaaS and cloud native resilience are now non negotiable
There are three technical themes that are particularly relevant to always on ambitions:
- CCaaS migration platforms and cloud native contact center infrastructure
- Cloud native resilience and geo redundancy, with multi region failover and disaster recovery
- API first integration layers that connect CRM, analytics, and business systems
KPMG’s Total Experience model explains why these are more than IT choices. To deliver on its five principles, organisations need unified data, composable architectures, and the ability to plug AI agents into workflows across front, middle, and back office. Cloud native CCaaS is the practical way to achieve that in the contact center.
The report recommends that organisations: