Blog & Insights

Blog & Insights

Blueprints and engineering strategies for scaling enterprise AI from pilot to production.

The MCP Tool Change Your Agent Never Noticed: 4 Contract Tests for Schema Drift in...
Quality Engineering

The MCP Tool Change Your Agent Never Noticed: 4 Contract Tests for Schema Drift in 2026

MCP tool definitions have no version field, so schema changes can alter agent behavior without an error. Six kinds of drift ranked by risk and four contract tests that catch them.

How to Add SQL Hybrid Retrieval to Your Enterprise RAG Pipeline: The 5 Structured ...
Enterprise RAG

How to Add SQL Hybrid Retrieval to Your Enterprise RAG Pipeline: The 5 Structured Data Decisions Most Teams Get Wrong

GPT-4o scores 86.6% on standard SQL benchmarks but drops to 10.1% on enterprise schemas. Without schema retrieval, it scores 0% exact match. Here are the 5 structured data decisions that determine whether your RAG pipeline can actually answer analytical questions.

Falling Token Prices Won't Save Your GCC's AI Budget: Build a Cost-Per-Outcome Cha...
GCC & FinOps

Falling Token Prices Won't Save Your GCC's AI Budget: Build a Cost-Per-Outcome Chargeback Model in 2026

Token prices keep falling, yet GCC AI bills keep climbing. Six places inference cost goes missing between the model and the business unit, a three-stage chargeback path, and a one-week plan.

How to Build an AI Model Routing Strategy for Enterprise: The 5 Architecture Decis...
AI Engineering & FinOps

How to Build an AI Model Routing Strategy for Enterprise: The 5 Architecture Decisions That Determine Cost and Quality in Production

A 100x price gap separates the cheapest and most capable LLMs in 2026. Well-tuned routing cuts cost per query by 37-46% without sacrificing quality. Here are the 5 decisions that determine whether your routing layer works or just adds overhead.

How to Add Multimodal Retrieval to Your Enterprise RAG Pipeline: The 5 Document In...
Enterprise RAG

How to Add Multimodal Retrieval to Your Enterprise RAG Pipeline: The 5 Document Intelligence Decisions Most Teams Skip

85% of enterprise data is unstructured, and text-only RAG misses nearly all of it. Here are the 5 document intelligence decisions that determine whether your RAG pipeline can actually read your documents.

The 6 Business Rules Your Legacy Code Holds That Nobody Wrote Down: How to Recover...
Enterprise Modernization

The 6 Business Rules Your Legacy Code Holds That Nobody Wrote Down: How to Recover Them Before You Modernize in 2026

Legacy code holds regulatory patches, rounding behavior, and contract exceptions that no document records. Six hidden rule types, what 2026 research on AI rule extraction does and does not prove, and a one-week plan.

Validating AI in GxP Is an Intended-Use Problem, Not a Model Problem: What Life Sc...
Life Sciences AI

Validating AI in GxP Is an Intended-Use Problem, Not a Model Problem: What Life Sciences Teams Skip in 2026

FDA and EMA published joint AI principles in January 2026, and draft EU GMP Annex 22 sets five validation requirements. Here is why intended use comes first, six gaps to check, and a one-week plan for life sciences AI teams.

How to Build an LLM Evaluation Framework for Enterprise AI: The 5 Decisions Produc...
LLMOps & AI Quality

How to Build an LLM Evaluation Framework for Enterprise AI: The 5 Decisions Production Teams Skip

79% of enterprise AI teams still rely on human spot-checks as their only quality control. A 37% gap separates lab benchmark scores from real production performance. Here are the 5 evaluation engineering decisions that close it before scaling costs you more than the model.

A Product Mandate Doesn't Make Your GCC a Product Organization: The Mechanism Gap ...
GCC & Offshoring

A Product Mandate Doesn't Make Your GCC a Product Organization: The Mechanism Gap to Close in 2026

96 percent of GCCs launched since FY21 hold a product or portfolio mandate, yet many still run like delivery centers. Here is the mechanism gap and how to close it.

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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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