Security & Governance by Design in LLM Applications - Part 1: Design-Time Trust
The conversation around AI security has shifted—from protecting data to governing model behavior. Part 1 of this Stravoris series explains how to embed security, privacy, and responsible-AI controls at the design layer of LLM applications.
From PoC to Production: Crossing the AI Valley of Death
Most AI initiatives die between proof-of-concept and production. Learn how to design PoCs that retire real uncertainty, prove value, and lead to production-grade AI systems that scale safely and profitably.
Building AI-Infused Enterprise Applications with C#/.NET — Part 2: Making It Work
Practical guidance for .NET teams adopting AI. Part 2 of the Stravoris AI Practice Playbook explores the cultural, technical, and organizational challenges of AI-infused .NET apps — and how to overcome them.
Building AI-Infused Enterprise Applications with C#/.NET - Part 1: Intelligence at Scale
Discover how .NET teams can evolve from building enterprise systems to creating intelligent applications powered by AI. This first part of a two-part series explores the vision, opportunity, and key moves that turn C#/.NET into the backbone of AI-infused enterprise solutions.
Beyond Pilots: Building an AI Practice That Delivers Real ROI
AI pilots are easy. Real business impact isn’t. This article shows why organizations must treat AI as a core engineering discipline -complete with strategy, governance, and delivery muscle - to achieve measurable ROI.