I build the curated data foundation first, then the AI and analytics on top of it — prioritized using a six-use-case lens, so you start with whichever pays off first.
Everything comes down to three deliverables: a data foundation you can trust, AI built on top of it, and the strategy work that tells you where to point them first — not a shopping list of six separate initiatives.
Curated data models, clean pipelines, and warehouse architecture your whole team can trust and query — the groundwork every AI system depends on.
LLMs and agents built on your own curated data, not a generic wrapper — designed for accuracy, auditability, and real production use.
An audit of your data estate against six ways data creates value, ranked by real payoff and readiness — so the build starts where it will actually pay off.
A diagnostic map I use inside the Strategy & Assessment engagement — borrowed from Bernard Marr's Data Strategy — to find which use case pays off first for your business. Six ways in, not six things to buy.
A disciplined process, run personally from start to finish — no handoffs, no account managers, no bloat.
I audit your current data estate, tooling, and use cases to find where the real leverage is — and where the risk is.
I design and ship the data models, pipelines, and AI systems that address it, working directly alongside your team.
I hand over documentation and ownership, or stay on in an advisory capacity as your data and AI needs evolve.
Langmeir is a solo practice. The person you meet on the first call is the person who does the work — and the one who answers for it.
Tell me a bit about what you're working with and where it's breaking down. I'll follow up within a day or two.
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