Building with Agentic AI: a Fintech Leader’s Show & Tell
Cheri Hewlett, a technology executive, CPA, U.S. Air Force veteran and PAC member, shares how she conceptualized and built her own personal agentic AI operating system. Her solution is early and openly a work in progress. She designed her 24/7 agentic team to support her day-to-day, catch insights or perspectives she’d otherwise miss, and fill in domain gaps.
Scroll below for full “Show & Tell” presentation and Q&A.
Key topics covered include:
Transitioning from deterministic workflows (e.g., "If X happens, do Y") to agentic reasoning.
“Meta” approach, utilizing a technical "builder" (CTO) agent to oversee and maintain an operational (COO) agent for cleaner, more scalable separation of tasks.
Developing a reasoning layer that correlates cross-app data to for predictive life-management.
Managing agentic drift and amnesia, when CTO behaves as a “Chief Toddler Officer” instead of “Chief Technology Officer”
Importance of observability and using independent AI tools to log, audit and debug.
Who will find this information particularly useful?
enterprise leaders vibe-coding on the side
aspiring entrepreneuers building agentic AI solutions
product managers and engineers building agentic and automation workflows

