Join Kyndryl for an invitation‑only dinner with senior technology, operations, security, and architecture leaders across industries to discuss how organizations are moving beyond experimentation to scale agentic AI across the enterprise. We’ll explore how company‑wide observability is evolving from monitoring to proactive insights—and increasingly to decisioning and action—across modern, hybrid, and legacy environments. The discussion will focus on what’s working in practice, what’s slowing adoption (data readiness, skills, operating model change, tool sprawl), and how leaders are designing human + agent operating models that are secure, governed, and outcome‑driven.

What You'll Gain

1) Where observability becomes “decisioning,” not just dashboards

• Where is AI delivering the “first wave” of value in ops (correlation, anomaly detection, RCA), and where do humans stay essential?
• Which signals are actually feeding AI today (telemetry, events, tickets, runbooks) and what’s still missing for reliability-grade outcomes?

2) Scaling agentic AI: the operating model shift (and what blocks it)

• What’s the hardest barrier to moving from pilots to scaled production—data quality, process change, risk appetite, or executive sponsorship?
• What changes when agents can take action (approval tiers, rollback safeguards, accountability, new roles)?

3) Trust, security, and governance: guardrails that unlock autonomy

• What threat model matters most when agents operate across IT workflows (e.g., prompt/runbook injection, privilege escalation, drift, telemetry poisoning)?
• What “guardrails” are proving practical across industries: policy constraints, audit trails, kill switches, staged rollouts, and least-privilege identity for agents?