Alorica has teamed up with Crescendo to help enterprises bring AI into complex live-channel customer interactions, where human judgment, context and seamless handoffs remain critical.
Alorica will offer Crescendo’s AI-native customer experience platform to current and prospective enterprise clients, combining the BPO provider’s global delivery scale with Crescendo’s orchestration technology.
Announced at Customer Contact Week (CCW) in Las Vegas, the partnership is designed to address the growing challenge in enterprise CX of deploying AI across voice, chat, and other live channels in a way that delivers measurable outcomes rather than fragmented automation.
While many enterprises have experimented with AI in customer service, live interactions remain a sticking point, as they often involve complex customer needs, multiple systems, regulatory or emotional sensitivity and moments where escalation to a human agent is essential.
Alorica and Crescendo argue that enterprises now require a unified operating layer where AI and human agents work together across the full customer journey, rather than more than isolated AI tools.
Through the partnership, Alorica and Crescendo will co-develop an AI-native center of excellence within Alorica, create new market offerings for enterprise live-channel CX and enable Alorica to resell and deploy Crescendo’s AI-native CX platform to enterprise customers.
Crescendo customers will also be able to augment their deployments with Alorica’s human agent workforce, which includes more than 100,000 employees across 16 countries.
Moving From AI Pilots to Enterprise Deployment
Although AI adoption has accelerated, many organizations still struggle to move from experimentation to production, particularly when deploying across multiple geographies, business units, channels and legacy technology environments.
“The biggest barriers we see are fragmentation across legacy systems, data silos, and the difficulty of scaling consistently across geographies and channels,” Mike Clifton, co-CEO at Alorica, told CX Today.
“Companies are universally facing the challenges of having to source the right AI solutions and skilled technologists and then waiting through long deployment periods to get ‘potential’ results.”
Alorica and Crescendo aim to help clients address that by delivering fully managed and fully underwritten services through an outcome-based pricing model.
Co-CEO Max Schwendner also pointed to the operational complexity of scaling AI across the enterprise.
“Enterprises often struggle to move from pilot to production because of integration complexity and change management. Our partnership simplifies that journey by aligning the right blend of technology, people and process from day one—so organizations can operationalize AI at scale, not just experiment with it.”
Rather than positioning AI as a separate layer or a standalone tool, Alorica and Crescendo are aiming to embed AI into the way CX is delivered, monitored, and improved.
How AI and Human Agents Work Together
In many customer service environments, AI can resolve simple requests independently, but problems often emerge when an interaction becomes more complex, requiring a handoff to a human agent or input from multiple teams.
Poorly handled escalations can force customers to repeat information, create inconsistent experiences and reduce trust in the brand as well as the technology.
According to Schwendner, the partnership is intended to address this by keeping AI active across the interaction, even when a human agent becomes involved.
“The key is orchestration. AI doesn’t replace humans; it augments them. In complex scenarios, AI continues to assist in the background by surfacing insights, recommending next best actions, and ensuring continuity across handoffs, so the experience feels unified rather than fragmented.”
Clifton added: “In practice, AI handles the heavy lifting upfront—understanding intent, resolving simple requests, and gathering context. When escalation is needed, that full context is passed seamlessly to a human agent, eliminating repetition for the customer and enabling faster, more informed resolution.”
Enterprises are increasingly looking for AI systems that can support agents in real time, maintain context across channels, and help manage customer journeys end to end.
Why AI-Native Architecture Matters
The partnership also highlights the growing use of the term “AI-native” in the CX market.
For Alorica and Crescendo, the distinction is important because rather than adding AI functionality to existing CX systems, Crescendo’s platform is positioned as having AI embedded at the foundation of the architecture.
Clifton explained: “AI-native means AI is embedded at the core of the platform—not bolted on. This allows for real-time learning, continuous optimization and more seamless automation across the entire customer journey, rather than isolated use cases.”
Schwendner said this architecture is becoming increasingly important as customer expectations rise.
“Legacy systems simply can’t keep up with the speed and adaptability required. AI-native architecture enables organizations to be more agile, scale innovation faster and deliver more personalized, consistent experiences. It’s something that’s very difficult to achieve by layering AI onto older systems.”
The partnership positions Alorica and Crescendo to target enterprises that are no longer satisfied with limited AI pilots or point solutions, but still need the operational expertise, workforce capacity and implementation support required to deploy AI at scale.
As pressure mounts to turn AI investment into measurable customer and business outcomes, Alorica and Crescendo are betting that enterprise CX will increasingly depend on orchestration between people, processes, and AI-native platforms.
The promise is a more unified approach to live-channel CX in which AI handles intent recognition, automation, insight generation and continuity, while human agents remain available for moments requiring empathy, judgment or complex problem-solving.
