White Papers
Evals in Production
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
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Artificial Intelligence promises transformative outcomes, but too often organizations chase tools without achieving measurable business value. This white paper by Tom Gersic, Head – AI and Digital Business at Altimetrik, introduces a human-centered framework that bridges strategy and execution. By combining the Jobs to be Done (JTBD) approach with Outcomes to be Eval’d methodology, enterprises can align AI initiatives with user needs, business goals, and clearly defined success metrics.
Grounded in real-world examples, the paper demonstrates how evaluation-driven engineering and human-centered design can turn AI projects into measurable, user-validated impact. From reducing inefficiencies to boosting customer satisfaction, this practical playbook equips leaders and practitioners with a common language and structured approach to move beyond hype ensuring AI solutions deliver value at scale.
Author: Tom Gersic
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 […]
