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AI in 2026: Key Insights for Leaders
Host Mohsin Ali speaks with Joe Devon, Founder of A11y Audits and Chair of the GAAD Foundation, about why AI initiatives fail. Learn why unclear leadership, rushed rollouts, and frontline resistance matter more than weak tech, how AI should support humans, and why accountability drives success. Discover how to move from experiments to measurable AI that actually works.
PureLogics Pulse Podcast Chapters
00:00 – 02:00 | Opening Hook & Episode Context
Mohsin Ali introduces the episode and reframes AI failure as a problem of leadership, process, and team alignment rather than technology alone.
02:00 – 04:30 | Guest Introduction: Joe Devon
Joe Devon, Founder of A11y Audits, shares his background and explains how hidden employee experiments with AI can create both risk and opportunity.
04:30 – 08:00 | AI Replacing Humans: Myth vs Reality
The discussion addresses fears about AI replacing jobs and emphasizes human oversight, accountability, and practical adoption.
08:00 – 12:00 | Rushed AI Deployments & Frontline Resistance
Joe explains why leadership-driven AI launches often fail without early involvement of frontline teams and how resistance emerges.
12:00 – 16:30 | Real-World Failure Example
A deployment story shows how scattered workflows, missing processes, and unclear ownership can derail AI initiatives.
16:30 – 21:00 | Technology vs Process Failures
The conversation highlights why AI failure is rarely technical alone and why clear responsibility across teams is essential.
21:00 – 26:30 | Optimizing AI for Production
Mohsin and Joe discuss why AI systems need time for optimization, why MVP-level systems differ from production-grade deployments, and how to plan phased rollouts.
26:30 – 32:00 | Improving Workflows Instead of Replacing People
The episode explores how AI adoption succeeds when it removes mundane tasks rather than threatening core roles, and how silent rejection can appear if poorly implemented.
32:00 – 38:00 | Accessibility, Inclusion & Compliance
Joe emphasizes designing AI for all users, aligning with accessibility standards, and creating measurable impact for enterprises.
38:00 – 43:05 | Leadership Takeaways & Conclusion
Key advice for executives on governance, realistic expectations, phased execution, and treating AI as an evolving system rather than a magic solution.
View all episodes
By PureLogicsHost Mohsin Ali speaks with Joe Devon, Founder of A11y Audits and Chair of the GAAD Foundation, about why AI initiatives fail. Learn why unclear leadership, rushed rollouts, and frontline resistance matter more than weak tech, how AI should support humans, and why accountability drives success. Discover how to move from experiments to measurable AI that actually works.
PureLogics Pulse Podcast Chapters
00:00 – 02:00 | Opening Hook & Episode Context
Mohsin Ali introduces the episode and reframes AI failure as a problem of leadership, process, and team alignment rather than technology alone.
02:00 – 04:30 | Guest Introduction: Joe Devon
Joe Devon, Founder of A11y Audits, shares his background and explains how hidden employee experiments with AI can create both risk and opportunity.
04:30 – 08:00 | AI Replacing Humans: Myth vs Reality
The discussion addresses fears about AI replacing jobs and emphasizes human oversight, accountability, and practical adoption.
08:00 – 12:00 | Rushed AI Deployments & Frontline Resistance
Joe explains why leadership-driven AI launches often fail without early involvement of frontline teams and how resistance emerges.
12:00 – 16:30 | Real-World Failure Example
A deployment story shows how scattered workflows, missing processes, and unclear ownership can derail AI initiatives.
16:30 – 21:00 | Technology vs Process Failures
The conversation highlights why AI failure is rarely technical alone and why clear responsibility across teams is essential.
21:00 – 26:30 | Optimizing AI for Production
Mohsin and Joe discuss why AI systems need time for optimization, why MVP-level systems differ from production-grade deployments, and how to plan phased rollouts.
26:30 – 32:00 | Improving Workflows Instead of Replacing People
The episode explores how AI adoption succeeds when it removes mundane tasks rather than threatening core roles, and how silent rejection can appear if poorly implemented.
32:00 – 38:00 | Accessibility, Inclusion & Compliance
Joe emphasizes designing AI for all users, aligning with accessibility standards, and creating measurable impact for enterprises.
38:00 – 43:05 | Leadership Takeaways & Conclusion
Key advice for executives on governance, realistic expectations, phased execution, and treating AI as an evolving system rather than a magic solution.