Ali Rebaie

Why organisations work with Ali Rebaie

• He reads AI adoption through anthropology and phenomenology, which exposes cultural and behavioural risks that pure technical assessments miss.
• He founded Rebaie Analytics Group in his early twenties and has since advised Fortune 500 clients across sectors on AI strategy, giving him pattern recognition across industries that a single-sector advisor cannot offer.
• Through Kiangle.ai he has built METIS, a generative AI scenario-planning platform, so his advice to boards comes from someone actively shipping the technology, not only commenting on it.
• He speaks to the human sciences side of AI, covering machine consciousness, decision intelligence, and the effects on children and future generations, which lets him hold a boardroom conversation that moves past tooling into governance and values.
• His analyst background, including a seat on the Boulder BI Brain Trust advisory board, gives him access to the vendor landscape most executives only see through sales decks.

Biography highlights

• Founder and President, Rebaie Analytics Group, an AI and human sciences strategy and research firm with Fortune 500 clients.
• Founder of Kiangle.ai, Portugal-based, building METIS for generative AI scenario planning.
• Keynote speaker at MWC Barcelona and Hannover Messe.
• Advisory Board member, Boulder BI Brain Trust (BBBT).
• Developed an AI and Machine Learning for Engineering course hosted via UC Berkeley Global.
• Listed among the top 100 AI influencers globally (self-reported).

Biography

Enterprise AI projects fail more often on culture than on code. A model ships, a workflow changes, and the people working inside it start making decisions differently, often without anyone noticing until the results move. That is the territory Ali Rebaie works in.

He runs Rebaie Analytics Group, the AI and human sciences strategy firm he founded in his early twenties, which now advises Fortune 500 clients on how to adopt AI without losing the judgement and cultural fabric that made them worth automating in the first place. His method treats AI rollout as an anthropological event, something that reshapes how a team thinks, decides, and relates, not only what it produces.

The analytical background is substantive. He sits on the advisory board of the Boulder BI Brain Trust, the long-running industry analyst consortium, and developed an AI and Machine Learning for Engineering course hosted via UC Berkeley Global. That gives him a working view of the vendor landscape most executives only see through procurement cycles.

The most recent work is operational. Through Kiangle.ai, his Portugal-based venture, he is building METIS, a generative AI scenario-planning platform that combines mathematical simulation with insights from human sciences to stress-test strategic decisions under uncertainty. Boards get an advisor whose views on AI governance are informed by the pressures of actually building one of these systems.

Key speaking topics

• AI strategy and adoption
• Scenario planning and strategic foresight
• Decision intelligence
• Generative AI and enterprise risk
• Human sciences and AI
• Future of work and future skills
• AI governance and responsible technology

Ideal for

• CIOs, CDOs, and CTOs scoping enterprise AI adoption beyond proof-of-concept.
• Boards and executive committees setting AI governance and risk posture.
• Strategy and transformation leads running scenario planning on AI-driven market shifts.
• Industry conferences on AI, data, and the future of technology.

Audience outcomes

• A clearer read on how AI adoption changes behaviour and decision-making inside teams, not only workflows.
• A working vocabulary for AI scenario planning under genuine uncertainty.
• Sharper questions for vendors, framed by an analyst who has seen how the market actually sells.
• A considered position on AI governance that accounts for cultural and human consequences alongside technical ones.