Driving ROI at the Speed of AI
13-May-2026
Global
Market Research
KCB1-01-00-00-00
IT_2026_34569
Enterprise Connect 2026 emphasized a key shift in the CX market: artificial intelligence has transitioned from being experimental to becoming a reliable, operational asset that delivers measurable outcomes. We anticipated this trend in the latest Frost & Sullivan annual outlook report titled “Top 10 Strategic Imperatives in the CX Industry – 2026 to 2027 – Harnessing AI Potential for Future Growth.” This is positive news for everyone—vendors and customers alike—because solutions are now developed and delivered in ways that genuinely help businesses optimize their combined AI and live-agent operations and automate processes.
It is important to recognize that the rapid expansion of data centers is quickly undoing the environmental progress made so far and harming other industries that face shortages of labor and materials needed for their growth. With this in mind, AI should be carefully applied to the most appropriate use cases, rather than developed for trivial tasks that do not yield operational, competitive, or customer benefits.
Solution providers must understand CX leaders’ biggest challenges and offer solutions that deliver quick ROI and measurable results. Additionally, they must maintain security, reliability, and consumer trust to earn that trust. Buyers are demanding clarity on who owns AI decisions, outcomes, and failure scenarios.
Competitive advantage shifts to vendors who can demonstrate measurable business outcomes and effective intervention models. Rethinking key performance indicators, measuring results of both live and AI agents, and ensuring SLA-backed AI performance will become essential for successful AI implementations, especially those infused with agentic AI. Winning solution providers emphasize ROI proof points before scaling, and reassure customers by maintaining product choice after the merger while accelerating cross-portfolio innovation.
This insight highlights growth opportunities for CX solutions and service providers to focus on over the next two years.
Author: Alpa Shah
Platform Convergence and Agentic AI
Blended AI–Human Workforce Optimization
Governance, Security, and Reliability as Revenue Enablers
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It is important to recognize that the rapid expansion of data centers is quickly undoing the environmental progress made so far and harming other industries that face shortages of labor and materials needed for their growth. With this in mind, AI should be carefully applied to the most appropriate use cases, rather than developed for trivial tasks that do not yield operational, competitive, or customer benefits.
Solution providers must understand CX leaders’ biggest challenges and offer solutions that deliver quick ROI and measurable results. Additionally, they must maintain security, reliability, and consumer trust to earn that trust. Buyers are demanding clarity on who owns AI decisions, outcomes, and failure scenarios.
Competitive advantage shifts to vendors who can demonstrate measurable business outcomes and effective intervention models. Rethinking key performance indicators, measuring results of both live and AI agents, and ensuring SLA-backed AI performance will become essential for successful AI implementations, especially those infused with agentic AI. Winning solution providers emphasize ROI proof points before scaling, and reassure customers by maintaining product choice after the merger while accelerating cross-portfolio innovation.
This insight highlights growth opportunities for CX solutions and service providers to focus on over the next two years.
Author: Alpa Shah
| Deliverable Type | Market Research |
|---|---|
| Industries | Information Technology |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Enterprise Connect 2026 takeaways |
| Keyword 2 | Enterprise AI accountability |
| Keyword 3 | Unified communications AI |
| Podcast | No |
| Predecessor | None |
| WIP Number | KCB1-01-00-00-00 |