Member provided questions for our meeting | Seattle 2025
A. Strategy and Organizational Readiness
- How are we reengineering our operating models to be AI-first?
- What are the board dynamics around this and best ways to orchestrate?
- What targets should we be setting? (see: From blueprint to breakthrough: How AI and automation can transform the consumer enterprise)
B. Leadership Alignment and Culture
- How do we define and track targets such as human-to-digital workforce ratios?
- What cultural or mindset shifts are needed to fully embrace AI-first ways of working?
- Which business functions or roles should lead agentic AI efforts?
C. Governance and Risk Management
- How do we prevent AI sprawl, especially with SaaS AI services entering through business units?
- How do we reconcile agentic automation with corporate governance and legal frameworks? (see: Agentic Misalignment: How LLMs could be insider threats)
D. Data and Architecture
- What are the most effective strategies for managing petabyte-scale data in multi-cloud environments, where investments are in the short term and returns are longer term?
- How do we integrate agentic AI with legacy systems without extensive re-platforming? What architecture patterns and frameworks (e.g., MCP) are emerging as best practices?
- What are practical frameworks for AI Agents (one example: A Framework for Navigating the AI Agent Landscape: From Task Executors to Strategists)
E. ROI and Future-Proofing
- How do we ensure a clear ROI when investing in AI infrastructure and data strategies?
- How do we measure efficiency gains and real-time ROI from agentic AI deployments?
- How do we future-proof our systems to adapt to rapidly evolving AI technologies?
Executive Technology Board (c)