Why Enterprise AI Breaks After the Demo

AI rarely fails because the technology is weak.

It fails because it’s deployed inside workflows that were never designed for intelligence.

In this episode of The AI Storm, we explore The Automation Gap — the space where AI pilots succeed, demos impress, and real-world execution quietly breaks down.

You’ll learn:

• Why automating broken workflows amplifies chaos instead of fixing it

• How poor data quality, missing context, and fragile integrations cause AI to fail silently

• The difference between human-in-the-loop and human-on-the-loop — and why leaders must design for both

• Why most AI failures are operational and leadership problems, not model problems

• The four workflow design questions every executive must answer before scaling AI

This episode isn’t about better models.
It’s about better workflow design.

If AI in your organisation “works… but only sometimes,” this episode will help you understand why — and what to redesign next.

🎧 Episode 7 — AI on the Edge: Why Smaller Models Win on Cost and Speed

For the last few years, the AI conversation has been dominated by scale. Bigger models. Bigger budgets. Bigger infrastructure. But quietly, a different story is unfolding.

In this episode of The AI Storm, we explore why smaller, faster, edge-deployed AI models are increasingly outperforming large, centralized systems—on cost, speed, reliability, and control.

This isn’t a technical deep dive. It’s a leadership conversation.

You’ll learn:

• Why many real-world AI use cases don’t need massive models
• How edge and smaller models are being used in retail, manufacturing, security, and operations
• What “training,” “fine-tuning,” and “retraining” actually mean in practical business terms
• Whether companies should buy off-the-shelf models or invest in building their own
• The new roles and skills emerging around edge AI and model operations
• How leaders should think about ROI, governance, and long-term sustainability

• This episode is about designing intelligence for reality, not for demos.

If you lead teams, build platforms, or make decisions about AI strategy, this conversation will help you rethink where intelligence should live—and why smaller may be smarter.

🎙️ Hosted by Krishna Goli
🌩️ Finding direction and decisiveness in the storm of AI

AI is no longer a technology decision. It’s a leadership behaviour.

In this episode of The AI Storm, let us understand what executives, founders, and senior leaders actually need to know about AI in 2025 — beyond the hype, beyond pilots, and beyond experimentation.

You’ll learn:

• Why most AI initiatives never escape “pilot purgatory”
• How leading organisations measure real AI value (not vanity metrics)
• The executive behaviours that separate AI leaders from AI experimenters
• A practical 30-day action plan to move from trials to impact

This is not a technical deep dive. It’s a leadership playbook. If you’re responsible for strategy, teams, or outcomes — this episode is for you.

🎧 Next episode: Why Smaller AI Models Are Winning on Cost, Speed, and Scale