AI training for executives who set the strategy
The AI education your leadership team actually needs, built for decision-makers, not developers.
Leadership teams rarely get stuck on “how does AI work.” They get stuck on which AI investments are worth making and how to hold the organization accountable for delivering them.
Most AI education is built for developers. This isn’t. These workshops are for the people who approve the budget, set the strategy, and live with the consequences. The curriculum draws on a 200-page library of AI resources built for CXOs: model selection, governance, and what your competitors are actually doing (not what the press releases claim).
Sessions run half-day to two days, remote or in-person, for teams of five to fifty. No coding exercises. No vendor pitches in the content. The goal is decision frameworks and sector context your team can use the following week.
What you get
Shared language across the leadership team
Leadership teams that can't speak the same language on AI end up in slow, circular debates. After the workshop, everyone works from the same frame: what AI can and can't do, where the leverage is, and how to evaluate the claims vendors make.
A defensible investment framework
A framework your team can use to evaluate proposed AI investments with the same rigor applied to any other capital allocation decision.
Adoption readiness
The organizational moves that make AI adoption stick versus the ones that stall at the pilot stage. Governance, change management, and how to sequence rollout across a skeptical organization.
How it works
Pre-session briefing
A short intake with the executive sponsor to understand the team's current AI awareness, the biggest open questions, and the one or two decisions where the session should make a difference.
Workshop delivery
Half-day to two days depending on scope. Covers the AI landscape your team needs to understand, the investment and evaluation framework, sector-specific dynamics, and a working session on your live decisions.
Post-session materials
A summary of the frameworks covered, the key decisions surfaced, and next steps your team agreed on. Something they can actually use rather than a deck that gets filed.
Proof, not promises
All client stories →AI Employee Assistance Chatbot
Designed and built a chatbot for a 40,000-employee organization to address questions about policies, asset tracking, and other internal tasks. Integrated with an updated knowledge base with an admin panel and the ticketing interface to create and track support tickets.
Leading financial institution in India
AI Vision for Fraud Prevention
Built a semantic image search interface to detect and present potential fraudulent gold loan applications to auditors for real-time fraud prevention.
Leading gold loan provider
Auto-scaling ML Inference
Designed and deployed a dynamically auto-scaling application for low-cost inference of ML jobs on geospatial data using GCP Cloud Run.
Public markets investor in MENA
Questions
Who is this for? +
Boards, C-suites, and senior leadership teams at companies navigating meaningful AI decisions: what to fund, how to govern it, how to lead adoption across the organization. Also executive teams preparing for a board conversation on AI. Not for individual contributors or developers.
Is this technical? +
No. The goal isn't to make your leadership team understand how transformers work. It's to make them better at the decisions they actually own: which AI investments to make, how to evaluate vendors, what governance to put in place, and how to lead an organization through adoption without burning political capital.
Can you run it for our leadership offsite? +
Yes. Many of these sessions run as part of leadership offsites: a half-day block with the full leadership team followed by a working session on live decisions. I can structure the content around your sector, your current strategic priorities, and the specific decisions your team is facing.
Remote or in person? +
Both. Remote sessions work well for international teams or when the team is distributed. In-person is better for offsites or when the working session component matters more than the briefing. The conversation tends to go deeper when people are in the same room.
How is this different from an online AI course? +
Online courses are built for individuals and lean heavily toward the technical. This is built for a leadership team as a unit, around your sector and your live decisions. The curriculum draws on a 200-page library of AI resources built specifically for CXOs, not repackaged developer training. And it's a conversation, not content delivery.
Let's talk
30 minutes, no slides. We'll work the specific decision you're facing.