Applied AI & Next-Gen Automation

GenAI and agentic workflows are taking over the ServiceNow ecosystem, but most organizations are stuck in the theory phase. Having built 10+ AI agentic workflows from scratch (including SLA Agents and Major Incident Manager Agents) and integrated Predictive Intelligence into global IT operations, I help you turn AI buzzwords into functioning enterprise workflows. Whether you are an architect trying to design a complex AI solution for a client or a developer looking to upskill in Machine Learning automation and Claude prompt engineering, this session provides the exact technical blueprint you need.

Agenda (45 Minutes of Technical Execution):

Minute 00 – 10: Use Case & Architecture Audit

• Deconstructing the specific AI problem you are trying to solve (e.g., CMDB validation, automated incident resolution, or knowledge generation).
• Identifying the right platform capabilities versus custom AI integration needs.

Minute 10 – 30: Agentic Workflow Design & Implementation

• Whiteboarding the logic for autonomous decision-making at scale.
• Step-by-step breakdown of how to extend OOTB agents or build custom solutions using Flow Designer and custom logic.

Minute 30 – 40: Overcoming Roadblocks & Security

• Addressing common pitfalls like data privacy, hallucination risks, and integration limits.
• Best practices for templatizing integrations into subflows for plug-and-play configuration.

Minute 40 – 45: The Execution Roadmap

• Final review of your proposed AI architecture.
• Actionable next steps to build, test, and deploy your AI solution within compressed GTM cycles.