Pragmatic AI: Integrating LLMs into a Mission-Critical NLP-based Product

How do you integrate LLMs into a mission-critical, NLP-based product without losing sight of its core strengths? We’ll explore Bodyguard’s evolution from traditional NLP to LLMs, showing how we built on our expertise rather than disrupting it. We’ll break down our process for validating AI’s value proposition before integration, ensuring that every LLM capability we adopt strengthens our product’s impact. Finally, we’ll take a deep dive into the UX challenges of designing AI-powered features that users can trust, emphasizing why transparency, reliability, and alignment with user expectations are just as critical as functionality when working with high-stakes AI. This session offers a practical, no-nonsense approach to LLM integration, grounded in real-world experience.