As AI agents evolve into autonomous problem-solvers, contact centers are being forced to rethink how work gets done. Traditional models, built around human agents and reactive workflows, can’t keep up with AI’s ability to resolve issues end-to-end, proactively engage customers, and dynamically triage interactions. Leaders are now facing tough questions around channel mix, workforce design, QA, and how to measure performance in a world where AI is doing a growing share of the work.
Leading organizations are shifting to a “Human+AI” operating model, rebalancing work toward AI-first resolution, redesigning roles so humans handle higher-value interactions, and modernizing QA, WFM, and KPIs to reflect a blended workforce. The focus is moving from automation as efficiency to AI as a core operational engine that drives speed, consistency, and better customer outcomes.
Join Sprinklr and a select group of your peers in this digital roundtable as we discuss how to scale AI agents effectively, including how to redesign workforce models, implement new performance metrics, and navigate the shift from pilot to production. You’ll leave with practical insight into what it takes to unlock the next phase of AI-driven service transformation.

Sprinklr is a public, AI‑native enterprise software company founded in 2009 and headquartered in New York City. It provides the world’s most complete Unified Customer Experience Management (Unified‑CXM) platform,empowering global brandsto deliver consistent, personalized, and efficient customer experiences across every touchpoint.