Sophia Velastegui

You may want to go deeper with your audience. Masterclasses can be tailored and developed to suit your audience needs, be it a 90-minute Masterclass, a half-day or full-day workshop or a full online or face-to-face programme. Please contact one of our expert team to discuss.

Module 1: The AI Mandate — Why Leadership Can’t Wait
AI isn’t a tech issue; it’s a leadership issue. This session frames AI as a boardroom imperative, covering the risks of inaction, the erosion of competitive advantage, and the governance responsibilities executives cannot delegate.

Module 2: Demystifying AI — Separating Fact from Fiction
Cut through hype with a practical briefing on what AI can (and can’t) do today. Executives gain a shared vocabulary, clarity on core technologies (genAI, agents, automation), and insight into where AI creates measurable business impact.

Module 3: From Pilots to Profit — Building the AI ROI Playbook
95% of companies fail to see AI ROI, but a winning 5% are scaling successfully. Learn how to select high-value use cases, structure AI projects for measurable returns, and avoid common pitfalls that stall at proof-of-concept.

Module 4: Leadership in the AI-First Age — The New Rules of Change
When AI accelerates AI, change becomes continuous. Leaders must shift from episodic transformation to perpetual agility. This session explores executive playbooks for leading through uncertainty, empowering employees, and driving organizational resilience.

Module 5: The Workforce of the Future — Humans + AI in Practice
Work is fragmenting into micro-missions, hybrid teams, and machine-assisted workflows. This module dives into talent strategy: reskilling, protecting critical expertise, and building organizational cultures that embrace human+AI collaboration.

Module 6: The Board’s AI Compass — Governance, Risk, and Advantage
Boards and CxOs need a clear decision framework to evaluate AI investments. This closing session introduces the “AI Compass” — a tool to balance ROI, workforce impact, and governance risk — so leaders can scale AI responsibly and confidently.

Module 1: “The Skill Erosion Dilemma: Protecting Human Expertise in the Age of Generative AI”

Companies have embraced generative AI to drive efficiency, but over-reliance carries hidden costs: erosion of critical thinking, loss of problem-solving depth, and a thinning of expertise across the workforce. This keynote explores the risks of “outsourcing human intelligence” and outlines governance practices to protect essential capabilities.

Module 2: “Human-Lead vs. Machine-Lead Workflows: Strategic Choices for Executives and Boards”
As workflows evolve, leaders face three distinct futures: human-led copilots, machine-led orchestration, or fully autonomous ecosystems. Each comes with unique risk, talent implications, and governance challenges. The shift also disrupts traditional offshoring strategies: tasks once moved offshore for cost arbitrage are now prime candidates for automation, demanding a fundamental rethink of where and how value is created globally. Executive and boards must make deliberate choices instead of sliding unconsciously into automation defaults.

Module 3: “From Hybrid to Blended: The New Paradigm of Human+AI Work”
The real transformation is not about where work is done (remote vs. office), but how it is done: in blended human+AI systems. Accountability, creativity, and agency are being redefined as humans and machines co-construct work. Executives and boards must understand these new dynamics to ensure responsibility, culture, and ethics keep pace.

Module 4: “The Upskill Imperative: Lifelong Learning in the Age of Generative AI”
Workforce resilience hinges on continuous learning. In 2027, computational thinking, AI literacy, and adaptive creativity are as essential as financial fluency. This keynote outlines how leaders can institutionalize lifelong learning through ecosystems of peer learning, cross-functional rotations, and AI collaboration training.