Enterprise IT teams are under pressure to reduce cost, improve service quality, and move faster, all while maintaining control. Many AI initiatives in ITSM never reach meaningful production impact.
This executive session explores how an agentic intelligence layer can be embedded within existing ITSM platforms to enable resolution-first workflows, stronger governance, and measurable efficiency gains.
You will learn what production-ready AI-ITSM architecture requires, how AI agents differ from traditional automation, and how leading enterprises improve SLAs without disrupting operations.
Includes a live demonstration of AI agents operating inside enterprise ITSM environments.
You will gain clarity on the questions that matter most to enterprise IT leadership.
Why traditional ITSM optimization has reached its ceiling and what comes next for enterprise IT.
How AI agents differ fundamentally from conventional automation and what that means for your service desk.
What an enterprise-ready agentic layer within ITSM requires to operate at scale without introducing new risk.
How auditability, approval chains, and compliance controls are embedded — not bolted on — from day one.
Real-world perspectives from enterprise CIOs on AI adoption in IT operations — what’s worked and what hasn’t.
Clear indicators for service desk transformation — how to measure, prove, and sustain return on AI investment.

Steve leads enterprise IT strategy and operations at FormFactor, focusing on operational efficiency, modernization, and responsible innovation. He brings a CIO’s perspective on balancing AI adoption with governance, cost control, and reliability.

Aditya leads enterprise AI initiatives at CriticalRiver, designing scalable, governed AI systems that enhance IT performance and reduce operational friction.

Lalit leads CriticalRiver’s global revenue strategy, partnering with CXOs to drive measurable growth, strengthen strategic accounts, and align AI-led transformation initiatives with sustainable business outcomes.
An examination of how traditional tier-1 models create cascading inefficiencies and why incremental optimization no longer delivers meaningful returns.
How AI agents embedded within existing ITSM platforms enable resolution-first interactions by understanding context, intent, and history, moving beyond keyword routing to reasoning-driven automation.
How to design agentic workflows where every automated action is traceable, every exception is escalatable, and every decision is auditable without slowing operations.
A live demonstration of AI agents operating inside enterprise ITSM environments, illustrating faster resolution, reduced workload, and intelligent escalation in a production setting.
An open discussion where participants can engage directly with CIO and AI leaders on enterprise adoption and operational impact.
If you are accountable for operational performance, governance, and long-term IT strategy, this session is built for you.
Seats are limited to ensure interactive, high-quality discussion. Complete the form to reserve your place.
AI agents are enabling enterprises to reduce repetitive workload, improve resolution times, and strengthen governance — without replacing existing ITSM platforms. Join us to explore how your organization can move from tickets to autonomy.