AI is accelerating innovation across the customer experience, but it is also creating a new challenge for buyers: more technology, more choices, more integration decisions, and greater pressure to deliver measurable business outcomes from those investments.
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Transforming customer experiences
A human agent misses a required compliance step. An AI agent reaches a request outside its designed scope and stalls. Sentiment on a high-value channel begins to fall, but the pattern remains buried until the next review cycle.
Introducing NiCE Desktop Intelligence: AI that turns the agent desktop into operational intelligence
Imagine an agent tells a customer, “Your refund has been submitted.” The customer ends the interaction reassured. The transcript records a clear commitment. The quality score may even show a successful outcome.
The move away from spreadsheet-driven WFM is already underway. AI is changing how workforce management teams plan, forecast, and adapt – not by automating what spreadsheets already did, but by reshaping how workforce empowerment gets done.
When I sat down with guest speaker Max Ball, principal analyst at Forrester, for our recent CX AI Unplugged: Featuring Forrester on the State of Conversational AI in 2026 webinar, I asked him to describe the conversational AI market in one word. His answer: “wild.” And he meant it.
Enterprises are clamoring to adopt and scale AI to improve customer experience but are existing CX architectures ready for AI transformation?
CX AI has moved from assisting work to executing it. That changes what we as leaders have to evaluate.