Practical writing on custom AI development, LLM integration, healthcare RCM automation, and AI consulting — from the engineers who build it.
Most custom AI projects ship in 4 to 16 weeks. Here are the five phases that determine where you land — and why the Janus Health deployment hit production in three.
Read article →Data prep, legacy integration, scope creep, model drift, change management — the AI project costs nobody warns you about, and how a proper assessment prevents most of them.
Read article →Where AI actually moves the needle across the claims lifecycle — eligibility, coding, scrubbing, denials — and where it still needs a human. A practical guide for RCM leaders.
Read article →How DFW companies in real estate, logistics, and healthcare are turning AI into a revenue-driving capability — and what to look for in a local AI development partner.
Read article →Why we use deterministic code wherever it works and invoke LLMs only where they earn their place — the deterministic-first approach to custom AI development.
Read article →The real question isn't build vs. buy — it's whether your problem is simple enough to be the exception. A four-criteria framework from people who build custom for a living.
Read article →Why a single, tightly scoped pilot beats the multi-year roadmap — and how to pick the first workflow that earns executive trust without burning your budget.
Read article →The three types of AI firms you'll encounter in Dallas — and the sharper framework for picking the right one before you sign a contract.
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