Why AI projects fail

On-Demand Webinar

Why 2025 AI projects failed?

The hard truth behind the 95% failure rate, and the essential strategies you need to move from pilot to profit.

In 2025, a staggering 95% of enterprise AI projects failed to deliver a measurable ROI or make it past the proof-of-concept phase.

If your organization is struggling to scale its AI initiatives, you are not alone. The journey from a promising pilot to a production-ready, value-generating asset is fraught with hidden challenges—from poor data quality and runaway costs to inadequate governance and a simple failure to align AI with core business objectives.

Paul Lewis | Chief Technology Officer

Connect with Paul on LinkedIn -> https://www.linkedin.com/in/paullewiscto/

Jeff DeVerter | Field Chief Technology Officer

Connect with Jeff DeVerter on LinkedIn -> https://www.linkedin.com/in/jdeverter/

What to expect from Pythian’s webinar?

Maximize your return of your AI investments—build the right AI projects and accelerate your deployment timelines

Watch this this essential, no-holds-barred, on-demand webinar to move past the hype and learn the concrete reasons why so many projects stall. More importantly, they will show you exactly how to fix them. Stop watching your AI investment become a sunk cost. Access the webinar to learn the proven path to operationalizing AI and driving continuous business value.

Avoid the Pitfalls:

Understand the top strategic, technical, and operational flaws that doom AI projects.

Build a Solid Foundation:

Discover the architectural and data readiness requirements necessary for sustainable, scalable AI.

Control Costs & Risk:

Implement robust governance (TRISM) and lifecycle management to prevent the Total Cost of Ownership (TCO) from spiraling.

Deliver Real Value:

Learn how to prioritize high-value use cases and establish the metrics that prove AI's impact on your bottom line.