White Papers
Evals in Production
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
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AI Scaffolding is emerging as a critical architectural layer for enterprises looking to adopt AI at speed without compromising safety, governance, or control. As outlined in Altimetrik’s whiteaper, this framework acts as an enterprise-wide control plane—combining visibility, governance, runtime enforcement, and interoperability—to manage AI agents, tools, prompts, and data flows responsibly. By centralizing registries, authentication, policy-as-code, and monitoring, organizations gain the structure needed to eliminate shadow AI, reduce duplicated engineering effort, and scale safely across business units.
Designed for the realities of decentralized AI usage, AI Scaffolding ensures that innovation and governance operate side-by-side. With capabilities such as an Agent & MCP Gateway, Guardian Agents for automated enforcement, region-aware architectures, and alignment with standards like NIST AI RMF and ISO/IEC 42001, enterprises can confidently accelerate adoption. The result is a system where speed and safety reinforce each other—enabling rapid experimentation, trustworthy AI operations, and scalable transformation across industries.
Authors: Mark Baker, Frankie LaCarrubba
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 […]
