White Papers
Evals in Production
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
Read More
The advent of the internet turned the world into a global marketplace, fundamentally altering our business landscape. This shift highlighted technology as a crucial tool for competitive advantage.
While some businesses embraced this change and swiftly adapted their models, others hesitated and later faced the repercussions of their inaction. In this context, the need for Agile transformation became evident, as companies sought to align with the rapidly evolving market dynamics. As competition intensified, innovation became crucial, with digital disruption further accelerating changes in the business landscape.
Companies that failed to innovate or adapt found themselves at a disadvantage as customers demanded more value. Amidst these shifts, the importance of Agile transformation has grown, revealing both Agile transformation challenges and pitfalls. Aligning business models with Agile principles has become a critical hurdle for many organizations striving to stay competitive in today’s fast-paced environment.
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
Building a Trusted, Conversational Data Layer for Financial Services Financial services companies rely on data to operate. Things like credit ratings are based on data and market intelligence is built using data. The systems that support these things need to be easy to see, secure and well managed. But the information needed to manage all […]
AI Practitioner’s Guide to Building Production-Ready LLM Applicationss Most enterprise LLM projects stall between pilot and production. The difference is rarely the model, it is the architecture. This guide synthesizes what we have learned across 35+ enterprise implementations, organized into seven application patterns we have repeatedly delivered. The focus is on the decisions that determined […]
