Three days. One defining conversation.

Informal opening lunch for attendees, speakers, customers, partners, and invited guests. Build relationships before the formal program begins and create the intimate, peer-oriented environment that defines Genesis.

Informal networking as attendees move into the main session room.

Enterprise AI is moving from systems that recommend to systems that act. Manoj Saxena frames the Genesis question for the day: what must enterprise leaders put in place now before AI autonomy outpaces enterprise control?

Autonomous finance will reshape how financial professionals work, how decisions are made, and how firms differentiate. Sanoke will share FactSet's vision for agentic workstations, AI-ready data ecosystems, and the role of trust as AI agents take on more consequential work.

As AI becomes embedded throughout the enterprise, responsibility for outcomes can no longer sit exclusively with IT, data science, risk, or the business. Javier explores why successful AI deployment requires shared accountability between technology and business leaders.

The biggest enterprise AI challenges often appear after a successful pilot. Leaders from banking and financial services discuss authority, ownership, data, human intervention, execution boundaries, reliability, policy, evidence, and operational accountability.

Coffee and informal discussion.

As AI advances software engineering from reasoning to action, trust must extend across the entire execution chain for every step of the SDLC. Aman discusses how to keep autonomous agents operating within clear enterprise and regulatory boundaries.

A real enterprise-style agent workload followed from human intent through autonomous execution to evidence-backed outcome. See runtime interventions—Allow, Block, Modify, Escalate, Require Approval, Degrade, Quarantine, Suspend—and the economics of the AI estate.

Enterprise AI economics are rapidly becoming more complicated than model price or token cost. Autonomous workloads create execution chains involving multiple models, tools, APIs, context, memory, retries, approvals, infrastructure, and human intervention. The panel asks: what does it cost to produce a completed, trustworthy AI outcome?

A short board- and investor-level conversation connecting the day's themes: which capabilities create sustainable advantage, where the market is overinvesting, and what leaders should accomplish over the next 12–24 months.

Control the Risk. Discover the Value. Prove the Impact. Three conclusions from Genesis and the closing message from Trustwise leadership.

Return to rooms, refresh, and prepare for the evening program. Coach departs The Archer Hotel at 6:30 PM for County Line BBQ on the Lake.

Casual Texas BBQ outdoors on the lake and an intentionally unstructured evening designed for conversation and relationship building. No formal presentations. The dinner is outside on the lake, so dress casually and bring a sweater or light jacket.