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
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