Blueprints and engineering strategies for scaling enterprise AI from pilot to production.
Static RAG achieves 34% accuracy on multi-hop questions. Agentic RAG achieves 89%. The decision to upgrade is driven by query distribution, not architecture ambition. Here is the framework.
Build non-deterministic testing frameworks for AI agents. Stop false alarms and catch model drift before production.
Modernization roadmaps still put UI ahead of APIs. Here is why that sequencing stalls AI agent pilots and how to adopt an API-first fix.
Parser accuracy varies by 55+ percentage points across document types. 82.9% OCR accuracy produces only 53% RAG accuracy downstream. Here is how to design document ingestion for enterprise RAG that does not silently degrade retrieval quality.
Enterprise hybrid retrieval intent tripled in Q1 2026. Dense-only RAG recall tops out at 78%. Hybrid BM25 plus dense search reaches 91%. Here is how to configure it, tune alpha, and avoid the common mistakes.
Build production RAG on NVIDIA's RAG Blueprint v2.6.0: multimodal extraction, embedding, hybrid search, reranking, guardrails and evaluation, step by step.
Map NVIDIA's GenAI stack, compare DGX Spark and Jetson developer kits on price and purpose, and follow a 30-day path before you buy hardware.
Healthcare AI agents now draft clinical notes, route patient messages, and query records directly, often faster than compliance teams can map where protected health information actually flows.
AI coding assistants now write a large share of the code going into legacy modernization projects, including systems that have run unchanged for two decades. The pace is real, but the review capacity needed to know what a model actually changed has not caught up.
No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.
Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.
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