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.
Download the white paper now to uncover actionable strategies, proven methodologies, and real-world examples.
“The insights solution is a good example of how we leverage technology and FinTech partnerships to co-create innovative analytics capabilities to enable our frontline teams to have better conversations.”
“The solution is incredible and deserves sharing with every technical person in Henkel. Thanks for your great work!”
“Normally, when you deploy new systems, you desperately go around the teams and badger them to try it. Here, they are badgering us.”
With Squirro's technology for large scale data analysis, HMRC was able to deliver efficient, in-depth analysis of customer feedback and highlight needs relating to self serve digital services.