AI is everywhere. Making it work for your business? That’s the hard part.
Most companies are asking the same question: How do we use AI to make our business better? The answer isn’t buying the latest shiny tool. It’s fixing the foundation.
“We’re at the peak of inflated expectations, sliding into the trough of disillusionment.”
— Marc DiGiorgio
The problem isn’t AI. It’s tech debt.
Why AI projects fail
Big enterprises are already reporting failed AI initiatives. Why? The same reasons projects fail everywhere: bad workflows, unclear roles, and poor information architecture.
“We’ve got really, really poor information scattered across multiple systems of record.”
If your data lives in emails, shared docs, and meeting notes, AI can’t help you. It needs clean, connected information.
What it takes to get AI ready
Marc breaks it down into practical steps:
- Centralize your data
Stop chasing files across Outlook, Teams, and SharePoint. Build a unified system of record. - Automate repetitive work
Use Copilot Studio and Power Platform to create agents that handle the grunt work. - Move workflows where work happens
Teams and Slack will replace traditional software screens. Get ready for conversational UX. - Prioritize the right use cases
Don’t automate everything. Start with the jobs that eat time and add no value.
Why this matters
By 2027, agentic AI will be mainstream. If you’re still stuck with scattered data and manual processes, you’ll be left behind.
“The beauty is when you combine perfect information with AI, it becomes really, really powerful.”
Watch the Webinar
The full recording is available below.
Get the roadmap
Want the details? TekStack’s Pragmatist’s Guide to Adopting AI in 2026 lays out the steps to cut through tech debt and build a smarter operation.
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