Designing AI-First Systems for Customer Access

What conversational AI reveals about orchestration, workflow redesign and execution at scale

Enterprise AI rarely struggles because models are weak. It struggles when systems aren’t designed to work together.

Customer access is a clear example. As channels multiply, many organizations bolt AI onto legacy workflows, creating fragmentation, duplicated effort and brittle execution as volume increases.

Designing AI-First Systems for Customer Access | VKTR

This report examines what changes when conversational AI is treated as infrastructure, not tooling. AI becomes a coordination layer across channels, systems and human workflows—routing intent, preserving context and enabling redesign instead of automating broken processes.

You'll learn how:

  • Channel-by-channel decisions create system fragility
  • Conversational AI acts as a meta layer above enterprise systems
  • AI-first strategies require workflow redesign, not retrofitting
  • Scalability improves when orchestration replaces manual handoffs

Download the report to explore what AI-first customer access teaches us about scalable enterprise systems.

Presented by

NiCE is transforming the world with AI that puts people first. Our purpose-built AI-powered platforms automate engagements into proactive, safe, intelligent actions, empowering individuals and organizations to innovate and act, from interaction to resolution. Trusted by organizations throughout 150+ countries worldwide, NiCE’s platforms are widely adopted across industries connecting people, systems, and workflows to work smarter at scale, elevating performance across the organization, delivering proven measurable outcomes.

For more information about NiCE, please visit nice.com.