WHAT WE DO
Our consultants don't arrive with slides. They arrive with editors open. Three engagements form one continuum — assess the opportunity, build it into production, operate it until your team doesn't need us — with evidence at every step.
OVERVIEW
Most consulting is a menu. Ours is a direction. The assessment de-risks the decision. Forward-deployed engineering ships the work. Managed operations runs it — then hands you the keys. You can enter at any point, but everything moves the same way: toward production.
The model is deliberately plain. Senior engineers only. Embedded with your teams, on your infrastructure, inside your security boundary. No delivery pyramid, no discovery theater, no deck that promises what a later, cheaper team must build. The person who scopes the work is the person who ships it.
That is the whole pitch. What follows is the specifics.
Two weeks. An ROI-ranked report.
Engineers embedded. Systems in production.
We run it. Then you do.
THE ENGAGEMENTS
Three shapes of work. Equal weight, one standard: the deliverable is real, dated, and yours to keep.
A two-week discovery across your data, systems, and workflows. We interview the people who do the work, read the systems that hold it, and pressure-test where GenAI actually pays — against your data as it is, not as the vendor deck assumes it to be. It ends in an ROI-ranked opportunity report: every candidate scored for value, feasibility, and time-to-production, with a build plan for the top of the list. The report is yours whether or not we ever meet again. For leadership teams that suspect AI matters but refuse to fund a hunch.
GenAI Solutions Engineers embedded with your teams, on your infrastructure. They join your standups, commit to your repos, and hold themselves to your change controls. The deliverable is not a prototype or a proof of concept — it is a system in production, with the evaluation harness, guardrails, and documentation to prove it behaves. When the use case demands it, we deploy on-prem and data-resident. For organizations with a validated use case and a hard requirement that it actually ship.
Build-Operate-Transfer. We build the system, operate it in production, and transfer it on a schedule agreed before we start. Operation means monitoring, evaluation, and model change management — not a ticket queue. Transfer means your engineers run the system without us: runbooks written, on-call trained, a defined handover with exit criteria we both sign. The exit is part of the offer. For teams that want production AI now and full ownership of it after.
METHOD
The same arc every time, because it works. Four phases, each with a stated goal and a dated deliverable. REACTIVE → PROACTIVE is not a phase — it is the direction of travel.
We embed with the teams closest to the problem. Interviews, system access, data reality — not the org chart's version of it. Goal: a map of where AI pays, drawn from the field.
Every candidate ranked by ROI, feasibility, and time-to-production. No recommendation we wouldn't build ourselves. Goal: a decision your CFO and your engineers both accept.
Engineers ship on your infrastructure, inside your security boundary, with evaluation gates at every release. Goal: a system in production — not a pilot in a slide.
We run it while your team learns it, then hand over runbooks, on-call, and ownership against exit criteria we both sign. Goal: an estate your engineers run without us. We leave you stronger.
PROOF
We don't publish invented case studies. We publish software. "Software that came back from the field" is not a slogan — it is how our products exist. Both began as forward-deployed engagements: problems we were embedded in long enough to solve properly, then kept solving. If you want to know what our consulting produces, use what it produced.
The infrastructure intelligence layer for regulated estates. Patching is the first live module; automation is next, with root cause and anomaly detection on the roadmap. i-Trace correlates change to impact. Decision Replay seals every decision in a hash-chained evidence ledger. Maker-checker on every action, on-prem by design. Began as a forward-deployed engagement. Explore Holovyx →
Healthcare benefits navigation for employers, health plans, and members. Grounded in the plan documents themselves, every answer cited to its source, PHI handled like it matters. Began as a forward-deployed engagement. Explore Benefits Guide →
ENGAGE
The assessment is the smallest honest way to test us: two weeks, a fixed scope, and an ROI-ranked report you keep either way. Prefer a conversation first? Contact us.