Video: Why Most AI Projects Fail According to Spyglass MTG CEO

Artificial intelligence is everywhere, but many AI projects fail before they ever deliver real business value.

In this episode of Channel Insider: Partner POV, host Katie Bavoso sits down with Dori Albert, CEO of Spyglass MTG, to discuss why organizations often struggle to implement AI successfully – and what it actually takes to build AI platforms that deliver measurable outcomes.

Dori shares how Spyglass MTG helps companies build secure, governed AI environments on Microsoft platforms, why data readiness is the biggest barrier to AI success, and how its AI Navigator framework helps organizations move from experimentation to real production use cases.

They also explore how AI is reshaping consulting models, improving productivity with tools like GitHub Copilot, and enabling powerful real-world use cases across industries like insurance, healthcare, and higher education.

Topics & Timestamps 

00:00 – Introduction 

Katie Bavoso introduces Dori Albert, CEO of Spyglass MTG. 

01:26 – What Spyglass MTG Does 

A boutique Microsoft consultancy focused on data, AI, and security. 

03:42 – Why Most AI Projects Fail 

Common mistakes organizations make when rushing into AI initiatives. 

06:00 – AI Is a Platform, Not Just an App 

Why governance, architecture, and strategy matter. 

08:17 – What the AI Navigator Framework Is 

How Spyglass accelerates AI deployments with proven frameworks. 

11:02 – Using AI Internally at Spyglass 

How agents and GitHub Copilot improve developer productivity. 

15:03 – Slowing Down AI Projects to Get Them Right 

How Spyglass reframes customer urgency into sustainable strategy. 

18:07 – What AI Success Actually Looks Like 

Moving from pilots to real production outcomes. 

20:26 – Why Data Readiness Is Critical for AI 

The biggest barrier preventing companies from scaling AI. 

22:35 – AI Security, Governance & Compliance 

Why identity management and data protection are critical. 

25:14 – How AI Is Changing Consulting Businesses 

Why firms are shifting from hourly billing to outcome-based models. 

28:32 – Real AI Use Cases Delivering Results 

Examples from insurance inspections and healthcare document analysis. 

33:19 – Leadership & Women in Technology 

Dori’s perspective on mentorship and leadership in a male-dominated industry. 

38:13 – Where to Learn More About Spyglass MTG