Solving for AI Success, MSDW Podcast with Andrew Welch
Click below to hear the podcast 👇👇
In this MCW Podcast episode, host Jason Gumpert frames a practical, wide‑ranging discussion on the realities of enterprise AI adoption, drawing out why many organisations remain stuck despite growing investment and attention. Through the conversation, Jason explores where organisations are starting from, the gap between personal productivity AI and enterprise‑grade solutions, and why confidence, leadership alignment, and foundational readiness matter more than experimentation alone.
The discussion touches on common failure patterns such as endless proofs of concept, weak data foundations, and misplaced expectations of AI as a “magic fix,” while also examining how neutral, trustworthy guidance can help organisations navigate regulatory, technical, and cultural complexity with greater clarity and momentum.
Key Takeaways:
Why most organisations are failing to move beyond AI pilots and proofs of concept.
Why AI adoption must be led at the executive level, not left to grassroots experimentation.
How poor data foundations and infrastructure undermine even the best AI ambitions.
Why “trustworthy AI” should accelerate adoption rather than act as a barrier.
How organisations can experiment with AI responsibly without over‑investing too early.
The role of neutral, third‑party guidance in shaping sustainable AI strategy.
How confidence and clarity enable organisations to move forward in uncertain AI landscapes.
Enjoy,
Jason Gumpert 👉 LinkedIn
