Press Kit

Veteran AI strategist providing actionable frameworks for mastering the AI revolution.

1. The AI Tsunami is Here & Requires Immediate Action: Generative AI represents an unprecedented wave of technological disruption, moving faster and impacting more broadly than previous shifts like the internet. Its speed and power create both immense opportunities and existential threats. Complacency or passive observation ("AI Voyeurism") is no longer viable; leaders must move decisively from watching the revolution to actively leading their organization's response.
2. Assess True Readiness Before Acting (The AI Fitness Compass): Jumping into complex AI projects without understanding your starting point leads to failure. A critical first step is conducting a holistic AI Readiness Assessment (using frameworks like the AI Fitness Compass) across key dimensions: Strategic Vision, Business Processes, Data Readiness, Tech Infrastructure, People & Skills, Culture, Governance/Trust, and Productivity/KPIs. This identifies crucial gaps and informs realistic planning.
3. Prioritize Strategically Using "Return on Intelligence" (RoI): Don't just chase shiny objects or easily measured cost savings. Effective prioritization requires moving beyond traditional ROI to consider AI's broader value (strategic positioning, capability building, customer/employee impact). Use structured frameworks (like Value-Effort-Risk analysis informed by readiness) to overcome cognitive biases and focus resources on initiatives delivering the highest overall Return on Intelligence.
4. Implement at Speed with 6-Week Sprints & "Vibe Coding": Traditional development cycles are too slow for the GenAI era. Adopt rapid, iterative 6-Week GenAI Sprints focused on delivering Minimum Viable AI (MVAI) to accelerate learning and de-risk projects. Supercharge these sprints with AI-Assisted Development ("Vibe Coding") tools (like Cursor, Lovable, Replit) to dramatically reduce coding bottlenecks and enable hyper-fast prototyping.
5. Focus on Augmentation, Not Just Automation: While AI can automate tasks, its greatest transformative potential often lies in augmenting human capabilities. Leverage AI's strengths (speed, scale, pattern recognition) to enhance human strengths (creativity, critical thinking, empathy, judgment). Design workflows around human-AI collaboration to drive innovation and top-line growth, not just bottom-line efficiency.
6. Engineer for Sustainable Value (FaaS & GenAI Ops): Static AI systems degrade over time ("AI Drift"). Build for continuous evolution using models like Feature as a Service (FaaS) to deliver compounding intelligence. Implement robust GenAI Operations (extending MLOps) to reliably manage the lifecycle of LLMs, RAG systems, and agents, including prompt management, output evaluation, cost control, and responsible governance.
7. Build an Adaptive Organization for the Future: Mastering GenAI adoption is the immediate challenge, but it's also foundational training for navigating future technological waves. True future-proofing involves building organizational adaptability – the capacity to continuously sense, learn, integrate, and leverage emerging technologies like advanced Robotics and Quantum Computing as they converge with AI.