Why agentic AI fails
Practical strategies for building and operating reliable agentic AI systems
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Most enterprise AI efforts stall after promising pilots because scaling requires smarter operations, not just smarter models. In production, agentic performance rarely degrades gracefully—it collapses when faced with real-world complexity, creating "invisible failures" that traditional monitoring cannot detect.
Join Jarrod Vawdrey and guest speaker Sam Higgins from Forrester to learn how to turn scattered AI experiments into a repeatable, governed business function.
The strategies you’ll learn to prevent Agentic failure:
- Full execution visibility: Use observability into every execution step and tool call to identify "invisible failures" caused by the unpredictable nature of LLM outputs.
- The "least agency" model: Secure autonomous intent by applying Zero Trust principles, ensuring agents operate with only the minimum necessary privileges.
- Operational freedom & control: Strategies to give data scientists the tools they love (Python, R, LangChain) while providing IT with the centralized governance and cost controls.
Featured speakers
Guest Speaker Sam Higgins
VP, Principal Analyst
Sam assists technology executives and their business counterparts in understanding the opportunities and barriers facing them and their teams from continual technology-driven transformation. His professional engagements in the private sector, as well as state and federal government, assist him in addressing the unique IT management and delivery challenges found in diverse industries including banking, healthcare, education, transportation, and mining. At Forrester, he provides specific guidance to financial services institutions, public sector agencies, and asset-intensive firms in the energy, utilities, and resources sector. Sam's current research focuses on business IT alignment and value creation, technology-driven innovation, business and technology leader collaboration, cloud adoption and application platform optimization, and employee experience for technology leaders as well as local and regional adoption of emerging technology for enterprise, digital, and IT transformation. Sam specializes in delivery of advisory to clients in Australia and near-shore English-speaking markets across Asia Pacific as well as public sector clients globally.
Jarrod Vawdrey
Field Chief Data Scientist
Jarrod Vawdrey is a fixture in the data science community, and is Advisor and former CEO of A42 Labs, a leading provider of AI and ML software and services for building, deploying and managing business critical data workloads at scale. Jarrod holds multiple patents in the field of AI and data science.