February Newsletter: The Leading Indicators of Enterprise AI Transformation Success (or Failure)
AI investments don’t deliver results overnight - so how soon should you expect to see impact?
Many AI projects take a year or more to show measurable results, yet half of CFOs will cut funding within the first 12 months* if ROI isn’t clear.?
Without early signs of success, securing long-term AI funding can be challenging. Knowing where adjustments are needed upfront makes all the difference.
Wouldn’t it be better to have an early warning system?
Tracking adoption rates alone won’t tell you the full story. The real question is: How does AI fit into employees’ daily work? If AI is creating more friction than it removes, AI adoption will slow down, and the expected ROI becomes harder to achieve.
With the right data, you’ll see what’s working, what’s not, and where to make adjustments to keep your AI project on track. Learn more about The Origins of and Statistical Models Behind FOUNT's Use of Data.
NUMBER OF THE MONTH:
CASE STUDY: How Gamma Financial Turned AI Failure into ROI
?Gamma Financial (a pseudonym for a Fortune 500 company and FOUNT client) rolled out new AI tools for ~1,000 software developers.
The goal? Reduce time spent on repetitive tasks and free up bandwidth for higher-value work.
The result? Developers stopped using it.
?Here’s what went wrong:
How FOUNT Helped Fix It:?Case Study: $5.4M in Annual Savings by Leveraging GenAI Tools and Removing Work Friction - FOUNT?
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THE MOST RECENT BLOG POSTS:
7 Ways to Make Change Happen in Large Enterprises
By Ann-Sophie Schreiber, Product & Business Enablement Lead, FOUNT Global
?Change is hard - especially in large enterprises. Yet, Ann-Sophie award-winning research uncovers seven strategies to cut through politics and drive real transformation, revealing that data alone isn’t enough - leaders must commit to action.?Read Research Takeaways?
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The 3 Types of Enterprise AI Transformations & How to Keep Each on Track for Positive ROI
There are 3 types of AI transformations: employee-facing service AI, customer-facing AI, and productivity-improving AI. For all three, you can improve ROI by reducing work friction. Read Article?
In 2025, AI Will Come of Age. Here’s How Employers Can See the Most Benefit
With a tightening labor market in 2025, companies will be looking to do more with less – which just happens to be one of the most coveted attributes of AI. In order to realize the expected productivity boost of AI, however, organizations need to be sure they’re deploying it in the right places.?Read Article
ARTICLES WE RECOMMEND:
?? Moving Beyond ROI: The Rise of "Return on Adoption" (ROA)
?By Rick Hinton , VP of Analytics Strategy & Transformation
- AI success isn’t just about financial returns - it’s about sustained usage. ?
- Why tracking how AI changes work over time is more valuable than traditional ROI.?
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?? The Dignity of Work: Why Employee Well-Being is a Business Imperative
?By Katrina Alcorn , Managing Director, North America, Accenture Song
?- AI isn’t just a productivity tool - it shapes the entire employee experience.
- Why companies prioritizing well-being see stronger transformation outcomes.
??FINAL THOUGHT:?
AI doesn’t fail because of bad technology. It fails because it didn't actually make work easier, faster, better for employees using it.
The solution?
Stop guessing. Start measuring what actually matters - where AI is helping and where it’s getting in the way.
If you’re running into low adoption, weak ROI, or resistance to AI, we can help.
Let’s figure out what’s working, what’s not, and what needs to change.
?The FOUNT Global Team