Overview
Every interaction creates intelligence. The next 18 months will separate the organizations that orchestrate that intelligence from those that simply accumulate AI. Agentic AI is moving from experimentation to enterprise operating model, and deploying more bots, copilots, and point solutions will not create advantage on its own. Without orchestration, each new capability adds surface area instead of advantage, and intelligence stays trapped inside separate systems, workflows, and teams.
This on-demand session defines what an orchestrated AI operating model actually looks like: human, agent, workflow, data, operational, and interaction intelligence working together as one continuously learning system on a single platform that connects AI agents, employees, workflows, enterprise data, and business systems.
Guest speaker Robin Gareiss, CEO and Principal Analyst at Metrigy, joins NiCE experts to show how leading organizations define that operating model, avoid fragmented adoption, and build a foundation where intelligence compounds across the enterprise instead of fragmenting inside it.
You'll leave with an orchestration maturity framework: a practical way to self-assess whether your organization is accumulating AI tools or orchestrating AI intelligence, and what to change before your next planning cycle.
In this session, we explore how to:
- Define an orchestrated AI operating model for your enterprise
- Unify AI agents, employees, workflows, and data on one platform
- Avoid fragmented adoption as agentic AI scales
- Self-assess whether you accumulate AI or orchestrate intelligence
- Compound intelligence from every customer interaction
Orchestrate the intelligence every interaction creates
