Enterprise IT systems consulting and implementation, and AI implementation — under one accountable firm. The people who scope the work build it, and every engagement closes with documentation your team owns.
The platforms, integrations, and data foundations your operation runs on — selected with a business case, implemented by senior engineers, and handed over documented.
Platform selection, modernization roadmaps, and build-versus-buy decisions grounded in your operation's numbers — from a firm with no licenses to sell.
Platforms stood up to your process, legacy systems modernized in increments, and cloud migrations that keep the business running while the ground changes.
APIs, events, and interfaces engineered so your platforms act like one system — including the healthcare and benefits interoperability most firms won't touch.
Pipelines, warehouses, and executive reporting built like production software — the governed data layer that leadership trusts and AI depends on.
Production AI inside the systems you already run — automating the work that costs your team the most, with verification and human accountability designed in.
Where AI pays off in your operation, in what order, and what it takes — a sequenced roadmap with real numbers and clear decision gates.
Production LLM systems for decision support and straight-through processing — vendor-agnostic, human-in-the-loop, proven on your data first.
Dense policies, contracts, and regulatory text turned into structured, citation-backed answers — verified by a person who saw the source.
The controls that make AI safe to run in a regulated operation — human accountability, audit trails, and defenses that hold under scrutiny.
Every engagement runs under a master agreement (MSA) with scoped statements of work (SOW) — fixed-fee where the scope is clear, capped time-and-materials where it's exploratory. You always know what you're spending and what you're getting.
A time-boxed, fixed-fee sprint that ends in a roadmap and a business case — where technology pays off, in what order, and what it takes to reach production. Clear go / no-go criteria before anything is built.
A scoped statement of work aimed at a working increment in production in about 30 days — founder-built, proven against your real data, integrated under your security policies. Deeper phases follow, each shippable on its own.
For teams that want us alongside them: ongoing build, integration, and operations under a capped time-and-materials arrangement — expanding coverage workflow by workflow, with a documented handover at every step.
In a 30-minute conversation, we'll identify where technology and AI deliver measurable return in your operation — and map the path to production.