Agentic AI Digital Summit Day 1
Not every process is ready for agentic AI, and choosing the wrong starting point can create costly pilots that create little operational impact. This session introduces a practical framework for evaluating workflows against process stability, decision ownership, data access, risk, and measurable value, helping teams prioritize opportunities with a credible path to production.
Key takeaways
Delivering value requires agents to do more than complete isolated tasks; they must interpret inputs, coordinate work, and operate reliably across the enterprise technology landscape. This session examines practical orchestration patterns across ERP, CRM, service, and collaboration platforms, including how to manage handoffs, exceptions, and human oversight.
Key takeaways
Agents need timely, trustworthy context to make decisions, yet most enterprises still contend with fragmented sources, inconsistent data quality, and complex permissions. This session explores how to build an AI-ready data layer that gives agents secure contextual access while preserving lineage, control, and confidence in the information they use.
Key takeaways