Fredy Diaz

Lead AI Without Getting Lost in the Hype

Data & AI Leader at a Federal agency, experienced board member, mentor, Marine

Learn how to translate your organization’s AI ambitions into measurable outcomes that matter to executives and boards.

Define Clear AI Goals

Understand where AI should and shouldn’t be used, identifying governance, ethics, and operational risks early

Spot Risks & Guardrails Early

Discover how to quickly identify feasible, high-value AI initiatives that can deliver early wins and momentum.

Prioritize High-Impact Projects

Arming senior leadership teams with the AI literacy, practical skills and strategic acumen needed to guide their companies into the AI era.

February 2026 Cohort

AI Strategist // Trainer // Futurist

Mark Laurence

Founder and lead consultant at generative AI consultancy Ten Past Tomorrow.

A.Icehouse Cohort

March 2026 Cohort

“We're going to get to AI systems that are better than almost all humans at almost all tasks... That's the thing I think we're quite likely to get in the next two or three years." - Dario Amodei (CEO, Anthropic. However… ”Only 8% of employees reported they feel GenAI is already transforming their organisation.” - Deloitte - State of Generative AI in the Enterprise report, Q4 2025. Quite frankly, the gap between AI advancement and AI adoption that those two stats speak to is just too large. It’s no longer just a gap. It’s a chasm. And add to that… “In organisations where AI is openly embraced, the chance of developing 'AI Experts' and 'AI Practitioners' is halved when direct managers discourage its use, either directly or indirectly.” - Section School - The AI Proficiency Report. Merging those three storylines and you get a headline that says that senior leadership is the bridge that connects AI aspirations to organisational reality, and ultimately the trajectory of its integration at every level. In other words; true organisation-wide AI adoption doesn’t begin with technology or tools. It begins with leadership. AI literate and AI skilled senior leadership.

Close the AI capability gap: Exec-level training for senior leadership teams

Master AI prompting fundamentals

Evaluate and select AI tools strategically

Discover how to truly scale AI usage throughout your business

Develop a 5-step AI transformation roadmap

Lead AI change management

Implement AI governance and privacy practices

Senior leadership teams wanting to collectively, confidently, knowledgeably, skilfully and ethically lead an AI-forward company.

SLT teams who sense AI is far more than a technical challenge, that it demands leaders step forward to lead comprehensive strategic change.

Leadership teams excited by making a genuine commitment to fundamentally reshape their people, processes and businesses.

Walk away with a working AI experiment built on your own business problem — and the skills to become the go-to AI leader in your org.

Chief AI Officer

Lauren Vriens

Chief AI Officer, F500 Advisor | Drove $300M in value with AI

Cohort 2

Cohort 3

Your team needs direction. Leadership wants more with less. The AI stack changes weekly.When you're non-technical without time to get technical, this becomes an insane challenge—one I had to solve myself.At Accenture, I went from non-technical leader to securing $2M in AI funding that generated $300M in value. I helped build AI strategies driving productivity for 14,000+ consultants. Now I advise tech startups and Fortune 1000 companies on becoming AI-native.You need time and space to learn by doing. I'll show you how to pick the right AI problems (ones that get you kudos) and we'll build solutions together, live.You'll get frameworks and cheat sheets to repeat this and teach your team.Walk away with a working AI experiment plus the skills to become your org's go-to AI leader.This isn't "AI 101"—it's applied enterprise learning for leaders who want to stay ahead, not catch up.Unlike broad courses covering just definitions, this hands-on cohort has you pick use cases, calculate ROI, choose tech stacks, and automate your own workload.

Expectations have never been higher...

Identify AI Opportunities That Drive Business Results

Make Strategic Build vs. Buy vs. Vibe Code Decisions

Build Functional AI Prototypes Without Technical Skills

Steal My AI Prompts That Generate Quality Outputs

Implement AI Projects That Don't Fail (or Get Forgotten)

Team leads, directors, and department heads who have been "volun-told" to implement AI and need to show a plan, quickly.

AI consultants who need structured frameworks to help clients decide on AI use cases, execution, and ROI.

Execs, founders, and business owners who need to set the AI strategy for their org and can't afford to make costly mistakes

Build a clear AI strategy, define ROI metrics, and craft a practical roadmap to turn hype into results across product, people, and culture.

AI Executive, Startup Advisor

Sprout Social

Levi's

Nordstrom

Remitly

Rossella Blatt Vital

Executive AI Leader | Startups Advisor (ex Sprout Social, Remitly, Nordstrom)

AI Leader, Director of AI Sprout Social

Microsoft

Deepsha Menghani

AI and Data Science Leader | Director of AI at Sprout Social (ex Microsoft)

Cohort 1

Every executive today feels the pressure to “win in AI.” Caught between relentless hype and an urgent need to act, leaders are navigating a moment of unprecedented opportunity — and deep uncertainty. There is no universal playbook. AI transformation is messy, full of tradeoffs, and looks different in every organization.This course offers a structured, practical path forward.At its core is a clear, actionable AI maturity framework that helps you assess where your organization truly stands across four critical dimensions:1) Strategy 🎯2) Ways of Working 🤝3) People &amp; Culture 👥4) Systems of Enablement 🛠️Building on that foundation, you’ll learn how to translate assessment into action. You’ll acquire the tools to develop a personalized and actionable transformation path grounded in your organization’s context, maturity, and goals.AI isn’t just a technology shift. It’s a leadership and cultural one. This course equips you with the clarity, frameworks, and confidence to lead that transformation — intentionally, credibly, and with lasting impact across product, people, and culture.

Lead AI Transformation Delivering Sustainable Impact in the Agentic Era

📍 AI Maturity Framework

🎯Strategy

🤝 Ways of Working

👫 People & Culture

🛠️ Systems of Enablement

Executive &amp; Sr LeadersLeaders setting AI direction, making investment decisions, and accountable for enterprise-wide outcomes

Transformation &amp; Functional LeadersLeaders driving AI initiatives across product, tech, operations, or strategy

Emerging &amp; Aspiring AI LeadersLeaders and operators building AI fluency to contribute to strategy, decisions, and meaningful change

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Amazon

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

AI increases IC leverage, but it also breaks the management systems most teams rely on.Prototypes multiply. “Quality” becomes subjective. Risk can ship quietly. Leadership gets pulled into every review because no one is sure what good looks like, or who is accountable for evaluation, failure modes, and rollout decisions.If you’re a Director, Head of Product/Eng/Data, or VP with multiple AI initiatives in flight, you’re likely seeing the same pattern: lots of demos, uneven production outcomes, rising cost and reliability questions, and execs asking, “How do we know it’s good?” “What can go wrong?” “What’s the ROI?”This workshop gives you a practical operating system for leading AI-native work without slowing teams down.You’ll leave with:<ul><li>a portfolio and cadence that prevents orphan prototypes and experiments, </li><li>repeatable review process to assess risk and evaluation throughout projects, and</li><li>a new 'operating system' for AI-forward teams so that AI progress translates into ROI</li></ul>The result: faster alignment, fewer surprises, and AI work that ships to production with confidence.

Lead AI-heavy teams with new playbooks for prototypes, risk assessment, and eval

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Reclaim 5 hours a week using new AI-first playbooks

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.