Go Beyond AI Pilots: How Banks can Scale AI with MLOps

Banks are betting big on AI. But most never see ROI. 

Millions have been poured into AI pilots. Yet, for most banks, the promised value never reaches production. 

This eBook breaks down the hidden reasons why AI efforts stall, and how MLOps provides the missing link to scale responsibly, compliantly, and profitably. Packed with practical frameworks and real banking examples, it helps you: 

• Identify the root causes behind failed AI pilots 

• Learn how MLOps bridges the gap between lab models and production systems 

• Discover proven strategies to operationalize AI and unlock measurable business impact 

Why AI in banking often fails to scale 

If AI holds so much promise, why do so many projects stall before delivering impact? 

• 88% of AI pilots fail to reach production (Reports from CIO/IDC) 

• 95% of corporate AI projects don’t deliver measurable ROI (Study by MIT, 2025) 

• Only 16% of AI use cases in banking achieve full deployment (Study by EY) 

This eBook explains the hidden barriers, right from legacy infrastructure and fragmented data to compliance bottlenecks and talent gaps, and how to overcome them. 

Real-world banking insights 

We’ve seen firsthand how the right MLOps approach transforms banking. This eBook distills some of our key learnings into practical insights that every bank can act on. Inside, you’ll explore:  

1. The real barriers for scaling AI and what banks lose 

2. How a 125-year-old bank leveraged MLOps for AI integration 

3. Before vs. After MLOps – what your AI models can look like 

4. Five-step roadmap for implementing MLOps 

Get a FREE copy of our eBook now and learn how you can scale AI with MLOps: before it’s too late!