Strategic AI Transformation, Done Right.
Eighty-seven percent of enterprise AI projects fail. Most consulting firms can't tell a fine-tune from a function call. We're the operators they should have hired in the first place. We don't write decks. We ship working systems. Then we leave.
AI consulting is broken — and the bills are still being sent.
A boardroom mandate gets handed to a Big Four consultancy. Eighteen months and several million dollars later, the deliverable is a two-hundred-slide deck and a "phase 2 scoping engagement". Nothing ships. The CEO is told the failure was "change management". The market has been doing this for three years now. It's time to stop pretending it works.
We don't write decks.
We ship working systems.
Then we leave.
— a methodology measured in commits, not slides.
Operator-led AI transformation — engineered, not pitched.
ORIJINS Consulting is staffed by people who have shipped AI systems at scale: GAIA contributors, ex-FAANG engineers, founders who actually built the thing. We bring the team. We embed in your stack. We ship working code. We leave you self-sufficient. That is the whole methodology.
Operator-Led Engagements
Every engagement is led by a senior operator who has personally shipped a comparable system to production. No partners-by-title. No bait-and-switch teams. The person on the call writes the code.
Working Code in 12 Weeks
Every engagement ships working, in-production code within 12 weeks. Not a prototype, not a sandbox demo. A system serving real users, integrated with your data, monitored, on your repo, owned by your team.
GAIA Embedded in Workflows
We don't bolt a chatbot to your homepage. We embed GAIA where the work actually happens — claims processing, contract review, sales ops, code review, customer routing — measured by hours saved per FTE per week.
Knowledge Transfer to In-House
Every engagement includes a structured handoff: documentation, runbooks, internal training, and a 90-day shadow period where your team owns the system and we step back into advisory. We work to be unnecessary.
Outcomes-Based Pricing
Most of our fee is contingent on a measurable outcome — hours saved, conversion lift, error rate reduction, latency cut. If the system doesn't move the metric, we don't get paid the back half. It concentrates the mind.
Open Methodology Library
Every reusable pattern we develop — eval harnesses, RAG architectures, fine-tune playbooks, agentic workflow templates — gets published openly under permissive license. Our methodology is a public good. The work is the moat.
$3.4M in slides vs. $480K in shipped code.
A side-by-side. Same enterprise. Same problem statement. Same target outcome. Two different theories of what "consulting" should mean. Numbers from real, anonymized engagements observed in 2024–2025.
The Big Four engagement produced a deck. The ORIJINS engagement produced a system that — in one anonymized case — saved 110,000 FTE-hours per year. The cost ratio was 7×. The outcome ratio was infinite. The work is not the same work.
By 2050, AI transformation is routine engineering — not a billion-dollar gamble.
We are building toward a future where deploying AI inside an enterprise is as normal, predictable, and unspectacular as deploying a database was in the 2010s. A roadmap measured in production systems shipped, not pitches won.
Brief us on the real problem.
If you're a leader who has lost faith in glossy decks, who needs an AI system in production within a quarter, who values working code over working theater — we're the right team to call. Drop your email. We respond within 48 hours, with a senior operator, not a salesperson.