[iframe style=”border:none” src=”//html5-player.libsyn.com/embed/episode/id/41964760/height/100/width//thumbnail/no/render-playlist/no/theme/custom/tdest_id/4139994/custom-color/87A93A” height=”100″ width=”100%” scrolling=”no” allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen]
One thing I’ve noticed after working with enterprise customers for more than 20 years is this.
When AI projects fail, people usually blame the model.
They blame ChatGPT.
They blame the vendor.
They blame the technology.
But after sitting in hundreds of customer meetings, I rarely found AI itself to be the problem.
The real problem was hidden somewhere else.
The data was scattered.
Nobody knew which document was the latest.
Every department had its own tools.
Everyone wanted AI, but nobody agreed on the business problem they were trying to solve.
I remember one customer asking me,
“Can AI search all of our knowledge?”
My first question wasn’t about AI.
It was,
“Where is your knowledge?”
The room became quiet.
Because the answer was:
“It’s everywhere.”
That conversation completely changed how I think about enterprise AI.
Today we’re going to discuss something that doesn’t get enough attention.
Not prompts.
Not models.
Not the latest AI announcements.
We’re talking about the foundation that determines whether AI becomes a competitive advantage—or an expensive experiment.
Let’s get started.
Episode # 192
Today’s Guest:
Abby Clobridge, Founder and Fractional CIO of FireOak Strategies
She’s spent her career working with nonprofits, NGOs, foundations, and mission-driven businesses to solve a problem almost every organization faces but few can articulate: how to make technology actually work for people.
- Website: FireOakStrategies
What Listeners Will Learn:
- Why AI projects fail before the first prompt is written
- The hidden connection between knowledge management and AI success
- How messy data reduces AI accuracy
- What AI readiness really means
- Why governance matters more than buying new AI tools
- How small businesses can compete with AI
- Practical ways organizations are using AI for automation
- Common mistakes leaders make when adopting AI
- How to build an AI strategy that lasts beyond today’s hype
- The role of IT leaders in successful AI transformation