Customer experience is entering a new phase. For years, organizations have invested in AI to improve service efficiency, automate routine interactions, and give employees better insights. But the next wave of service transformation will not be defined by isolated AI use cases. It will be defined by orchestration.

The question is no longer whether AI can summarize an interaction, power a virtual agent, or automate a single workflow. The more strategic question is whether AI can coordinate work across customers, employees, channels, data, and enterprise systems to deliver better outcomes at scale.

That is where agentic AI changes the conversation — and why Genesys and Deloitte Digital are aligned on what comes next.

The AI value inflection point is here

Service has reached a moment that both Genesys and Deloitte Digital’s research confirm: AI model performance has improved dramatically, agentic systems are now capable of resolving complex cases through natural conversation and orchestration, and the business case is no longer theoretical.

Deloitte Digital’s 2026 Global Contact Center Survey finds that 64% of service leaders report higher agent productivity as a result of AI, and 39% report lower cost per contact. Looking ahead, 43% of organizations believe AI will allow them to reduce contact center costs by 30% or more within three years. At the same time, Genesys research shows that 86% of CX leaders expect AI to be part of every interaction by 2029, and 82% expect autonomous AI agents to orchestrate the customer experience within three years.

The financial opportunity is real. The organizational readiness to capture it is not yet universal.

Customer expectations are rising faster than legacy service models can adapt

Consumers increasingly expect every service interaction to be fast, personalized, efficient, and empathetic. They do not compare a brand’s experience only with direct competitors. They compare it with the best experiences they have anywhere.

Genesys research shows that 92% of consumers expect every organization to match the best experience they have ever had. At the same time, 94% say they value efficient customer service as much as being treated with empathy. The implication for service leaders is clear: speed and empathy are no longer separate goals. Customers expect both, simultaneously.

AI is also reshaping those expectations. Consumers are increasingly open to AI-enabled service, but they have little patience for experiences that feel disconnected or fail to resolve their issues. According to Genesys research, 95% of consumers expect their information to carry across channels so they do not have to repeat themselves. Yet 52% of companies do not pass data from virtual agents to human agents.

That gap is more than an inconvenience. It is a signal that many organizations are trying to modernize customer experience on top of disconnected systems and fragmented data flows. AI cannot deliver seamless service if the underlying experience architecture is not connected.

CX leaders see the agentic future, but readiness gaps remain

CX leaders understand the opportunity. But ambition is running ahead of readiness, and the gap between organizations with mature AI capabilities and those still in early stages is widening.

Deloitte Digital’s research shows that 48% of companies with mature service capabilities — those with defined service delivery models, comprehensive personalization, and low employee attrition — are already using agentic AI. Among low-maturity peers, that number drops to 24%. The organizations that move deliberately now will have a meaningful structural advantage.

For many, the challenge is not vision. It is scaling. Genesys research shows that AI projects that have not scaled are already among the top barriers to delivering seamless customer journeys. A successful AI pilot may improve one interaction or automate one process. Agentic CX requires something broader: the ability to orchestrate across channels, systems, workflows, and teams. Without that foundation, AI remains fragmented. With it, AI can become a coordinated intelligence layer across the entire service organization.

The CX platform is the transformation constraint

The next era of service will place new demands on CX infrastructure. Aging systems, partial cloud adoption, and limited integration can prevent organizations from scaling AI and connecting customer journeys end to end.

Genesys research shows that only 31% of CX infrastructure is fully cloud-based. At the same time, 73% of CX leaders say a CX platform that integrates and interoperates with enterprise systems is critical to their strategic goals. And 90% expect their CX platform to integrate with middle- and back-office systems within three years.

These data points reveal a clear reality: platform decisions are no longer just technology decisions. They are transformation decisions — and they determine whether AI investment translates into enterprise-wide value or stays confined to isolated use cases.

A connected CX platform gives organizations the foundation to unify customer context, interaction history, workforce insights, knowledge, case information, and enterprise data. It enables virtual agents and human agents to operate with shared context. It supports more intelligent routing and automation. And it allows agentic AI to coordinate work across systems rather than remain trapped in siloed tasks.

This is the difference between deploying AI and transforming service.

The future service organization is built on human-AI collaboration

One of the most important shifts in the agentic era is not what AI does on its own — it is what AI makes possible for human agents.

As Deloitte Digital describes it, the most advanced AI service systems turn every human agent into a “super agent” — bolstered by AI-accelerated insights, real-time suggestions, and automated handling of routine and data-intensive work. This frees human agents to focus on what they do best: judgment, empathy, and complex problem-solving.

This reframes the workforce question entirely. Organizations that redesign roles, metrics, and governance for human-AI collaboration can turn service from a cost center into a strategic engine for growth and trust. AI-enabled service systems can understand intent, summarize interactions automatically, personalize offers dynamically, and even predict issues before they escalate — enabling proactive resolution before a customer ever has to ask.

“The way service organizations can deliver service to their customers has totally transformed. AI has reached a level that allows fast, human-like support at a scale that was never possible before. AI and humans can work side by side, with AI handling the routine so humans can bring the empathy, judgment and creativity — elevating every interaction.”

— Mike Brinker, Customer Service Domain Leader, Deloitte Digital

That vision requires more than new technology. It requires a reimagined operating model.

Service transformation requires technology, operating model change, and ecosystem expertise

Agentic CX will not be achieved by technology alone. It requires organizations to rethink how service work gets done — across the front, middle, and back office.

That includes identifying where AI orchestration can improve resolution speed, reduce handle time, preserve context, and connect workflows across the enterprise. It requires redesigning roles and processes for a hybrid human-AI workforce. It demands responsible AI governance and alignment of service metrics to business outcomes rather than operational proxies.

This is where the partner ecosystem plays a critical role. Deloitte Digital’s Future of Service framework emphasizes the importance of multi-agent AI service platforms that can orchestrate AI across interactions, workflows, and the workforce — and provides the business process, industry, workforce, and change management expertise to move organizations from AI experimentation to AI-enabled operating models. Genesys brings the CX platform, orchestration capabilities, and market data to show why the shift is urgent and what it requires technically.

Together, these perspectives point to a practical path forward: modernize the platform foundation, connect the enterprise ecosystem, and redesign service operations around human-AI collaboration.

The path forward: from AI pilots to orchestrated service

Organizations looking to advance from AI experiments to agentic CX should focus on five priorities.

Assess cloud and platform readiness. Service leaders need to understand whether their current CX infrastructure can support AI at scale — and where gaps in cloud adoption, integration, or data architecture will limit progress.

Prioritize enterprise integration. AI must be connected to the systems that hold customer, operational, workforce, and transactional data. Without that connectivity, AI remains a feature rather than a foundation.

Redesign workflows around orchestration. The goal is not simply to automate existing processes, but to create smarter, more connected ways of working — spanning contact centers, digital channels, field service, and back-office systems.

Prepare the workforce for human-AI collaboration. Employees need new tools, skills, governance frameworks, and metrics to work effectively alongside AI. Organizations that invest in this transition will see the greatest gains in both service quality and employee engagement.

Measure impact against business outcomes. Agentic CX initiatives should be tied to outcomes that matter: resolution speed, service quality, customer satisfaction, employee productivity, cost per contact, retention, and growth. Deloitte Digital’s research shows that 64% of leading organizations are already reporting measurable productivity gains — proof that the investment translates when the foundation is right.

The future of service will not be powered by AI alone. It will be powered by AI that is connected, orchestrated, and embedded into the customer experience operating model — with human judgment and empathy at the center.

For CX leaders, the imperative is clear: move beyond isolated AI experiments, modernize the platform foundation, and prepare the organization for a new era of agentic service transformation. The organizations building that foundation today will be the ones defining what great service looks like tomorrow.