[New Podcast] CTRL + ALT + HUMAN: What a Room Full of Business Leaders Taught Me About AI and the…

2026-07-12 · Source: AI on Medium · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Human Resources & Workforce Development · Depth: Intermediate, long

Summary

A panel discussion titled "CTRL + ALT + HUMAN" held on July 2, 2026, in Kenya, explored practical AI adoption and the future of work. The panel featured Shikoli Makatiani (Akili AI CTO), Victor Ambuyo (Madavi Growth Head), and Marvin Oyoo (Panoramic Synergy consultant). Key themes included debunking AI hype, addressing adoption failures as "people problems wearing a technology costume," and discussing the impact on jobs. The panel highlighted that 90% of AI implementation work is non-AI related, often involving fixing broken processes. They also emphasized that a subscription is not an AI strategy and that leadership must model usage and address workforce fears. The discussion covered human-AI collaboration, the importance of human judgment, and AI's underexploited superpower in vision applications, such as assessing tea crop quality via drones or flagging ATM fraud.

Key takeaway

For AI/ML Directors or business leaders evaluating AI integration, recognize that successful adoption hinges on addressing people and process challenges, not just technology. Prioritize fixing broken workflows before automation, model AI usage from leadership, and establish clear strategies beyond mere subscriptions. Your focus should be on effective human-AI collaboration, utilizing AI for speed while retaining human judgment for critical decisions, especially in relationship-driven markets like Kenya.

Key insights

Effective AI adoption in organizations is primarily a people and process challenge, not just a technology one.

Principles

• 90% of AI implementation is non-AI work.
• AI adoption failures are people problems.
• A subscription is not an AI strategy.

Method

Implement an "AI council" where multiple models answer questions and judge each other, with human oversight to resolve disagreements and validate results.

In practice

• Use AI vision for crop quality assessment.
• Automate loan processing post-process fix.
• Deploy AI for real-time insurance interpretation.

Topics

• AI Adoption Strategy
• Human-AI Collaboration
• AI Governance Frameworks
• Digital Transformation Kenya
• Workforce Automation
• AI Vision Applications

Best for: Director of AI/ML, Consultant, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI on Medium.