Gen-AI Guide

Scaling Enterprise AI with Squirro

Unlock the Full Potential of Enterprise GenAI with Confidence

Enterprise AI has the potential to revolutionize operations, but scaling beyond a proof-of-concept often introduces new challenges. As organizations integrate LLM-based solutions into their generative AI infrastructure, traditional approaches can buckle under massive data volumes, complex access controls, and security constraints. The result? Spiraling costs, reduced accuracy, and a prolonged time-to-value.

This white paper explores how Squirro’s Enterprise GenAI platform empowers organizations to confidently scale their AI initiatives. You’ll learn why retrieval augmented generation (RAG) is the foundation of trusted Enterprise AI, and how Squirro’s methodology offers a cost-effective, high-accuracy alternative to industry-standard solutions—while rigorously enforcing access controls.

3 Key Insights You’ll Gain:

Finding the Right Balance: Understand how to harmonize quality, cost, and speed in your AI initiatives so that scaling doesn’t compromise performance or security.
Leveraging RAG for Accuracy and Security: Learn why retrieval augmented generation (RAG) provides a more reliable, compliant, and cost-effective foundation for enterprise-scale AI.
Real-World Results at Scale: See how Squirro’s proven methodologies outperform industry-standard solutions—achieving around 20% better accuracy at half the cost in a highly regulated sector.

Download the white paper now to uncover actionable strategies, proven methodologies, and real-world examples.


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Here's what our clients are saying:

Financial Services

 

 

Bireshwar Dasgupta
Global Head, Data Solutions
Standard Chartered

Manufacturing

 

 

Henkel

Banking

 

 

Helen Packard
Digital Transformation Lead
Bank of England

Government Administration

 

 

HMRC

See How Squirro Can Scale Your Enterprise AI

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