From Contact Center Tools to Enterprise Control Layers
An AI customer experience platform is evolving from a contact-center point solution into a unified control layer that connects customer data, communication channels, workflows, and autonomous agents, so enterprises can coordinate every interaction from one place instead of stitching together fragmented tools and teams. This is not a subtle product refresh; it is a structural change in how customer experience is governed. Vendors such as 8x8, Infobip, Gupshup, and Freshworks now treat AI less as a chatbot bolt-on and more as the central nervous system for customer operations. 8x8’s latest platform updates extend AI-powered intelligence, routing, and automation to teams across the organization — not only the contact center. Infobip’s AgentOS explicitly aims to turn CPaaS infrastructure into an AI control layer for customer experience, shifting from mere message delivery to coordinating autonomous, omnichannel journeys. The direction of travel is clear: AI moves from a helpful assistant to the operating environment itself.
8x8 and CPaaS Vendors: Execution, Not Just Intelligence
The most important shift is that enterprise AI orchestration is now judged on what it can execute, not what it can write. Infobip admits the real problem is fragmented customer journeys: data in separate systems, teams on different workflows, and channels run independently, leaving AI smart but powerless. Its answer is AgentOS, designed as the environment where AI agents, customer data, channels, workflows, and service teams come together to decide what happens next in each interaction. That is CPaaS AI integration as an execution brain, not a messaging utility. 8x8 is on a similar path. Its platform already combines UCaaS, CCaaS, and CPaaS APIs, and the new release turns that stack into a wider AI customer experience platform. 8x8 Pulse turns calls, meetings, and emails into organization-wide intelligence, while AI Routing matches customers to experts across the business. The company has backed this strategy with measurable performance: FY2026 total revenue reached USD 735.8 million (approx. RM3,382 million), up 3% year-over-year, with voice AI interactions growing 212% and messaging API interactions 269% year-over-year. Those numbers show AI is already an economic engine, not an experiment.
Gupshup’s Orchestration Layer: Turning Intent Into Outcomes
Where many enterprises still chase the “perfect bot,” Gupshup is blunt: most businesses do not need another chatbot that handles a few simple questions; they need AI that can help customers find information, compare options, complete tasks, and reach the right team without changing channels or repeating themselves. That is the heart of enterprise AI orchestration. Gupshup defines enterprise AI orchestration as connecting AI agents to business information, systems, policies, workflows, and people so they can help customers complete real tasks. It describes its platform as three layers: communications infrastructure to deliver conversations across WhatsApp, SMS, voice, web, and mobile; a context layer to bring together customer profiles, business knowledge, tools, policies, and live data; and an orchestration layer that decides the next step, whether an answer, an action, a workflow, or human escalation. In practice, Gupshup and Treebo use Meta’s Business Agent so guests can discover hotels, compare properties, view images, check pricing, and get recommendations in one WhatsApp conversation that is tied into Treebo’s catalogue, APIs, FAQs, and guest workflows. That is the control-plane idea in action.
Freshworks: Migrating Customers Into Autonomous Support
Freshworks shows how this model plays out when a vendor forces consolidation. By investing heavily in Freshdesk Omni, it created a single route for over 90% of customers to add AI, voice, and conversational support without swapping out their core service system. As CEO Dennis Woodside put it, customers can now start on email ticketing, then upgrade to chat, conversational, voice, and AI in one product. That is an explicit move away from fragmented channel tools toward an AI customer experience platform. The payoff is material. “Agents using Freddy AI Copilot handle 50% more tickets. That means they are 50% more productive,” reported Freshworks, adding that Freddy AI Agent deflection rates average 50% and reach 80% in mature deployments. Autonomous customer support is not theory: over 7,000 customers now pay for an AI SKU, and Copilot attaches to more than 70% of larger deals. Consolidation has also supported business performance, with total revenue increasing to USD 237.4 million (approx. RM1,092 million), up 16% year-over-year, and thousands of customers expanding their ARR thresholds.
What Enterprise Teams Must Do Next
The big story is not that AI is everywhere; it is that AI is becoming the way enterprises run customer experience. Vendors are merging contact center, UCaaS, and CPaaS into unified AI customer experience platforms that span the full interaction lifecycle. Infobip’s AgentOS positions AI agents and routing intelligence as the control layer where data, channels, and customer intent converge. Gupshup’s orchestration stack connects infrastructure, context, and workflows to ensure every conversation can move toward a useful outcome. Freshworks’ Freshdesk Omni migration and Freddy adoption signals that autonomous support is now a mainstream expectation, not a pilot. For enterprise CX and IT leaders, the implication is stark: the real competitive advantage will come from owning a unified control plane that aligns AI, channels, and workflows across departments. Teams should stop tolerating disconnected tools that block automation and consistent experiences, and start treating AI routing, agents, and orchestration as shared infrastructure. Those who keep AI trapped inside the contact center will be outpaced by those who let it coordinate the entire customer journey.
