01 Weeks 1–2
Discovery
Data audit, use-case scoping, success metrics agreed in writing.
Aligned scope doc
We deploy production AI agents in 60–90 days.
You don't pay in full until it works.
Corporations spend billions on AI consulting that produces strategy decks, not working systems. The reason is structural: large firms profit from delay, not delivery.
No decks. No recommendations that need another engagement to act on.
We ship working AI systems into production — and we don't stop until they deliver.
We scope around deployable outcomes, not billable hours. When the system runs in production and produces the result you needed, we are done. Not before. No padding timelines. No manufacturing complexity. No extending engagements that should be finished.
No junior analysts. No internal approval chains. No account team separate from delivery. The person leading your engagement has twenty completed projects behind them and is personally accountable for this one. We eliminate everything that serves the firm rather than the client.
Our practitioners have deployed solutions for global companies across industries. The AI tooling landscape changes faster than any curriculum. Our team works in this environment daily — at enterprise level. When you ask if we can do this, the answer is not a capability statement. It is a reference list.
Our Chief Scientist doesn't theorize about enterprise AI. He builds it there. Actively advising, designing, and deploying AI systems inside Fortune 500 companies, he sits in the room where investment decisions are made and where failed implementations get dissected. We don't sell solutions looking for problems. We engage around the exact problems we've already solved, from the inside.
Milestone-based payments tied to delivery. A defined payment at signing, prototype, production, and client sign-off. For skeptical buyers, we structure engagements where a significant portion of our fee is contingent on successful deployment. No large firm will accept this model. Their business cannot function on it. Ours is built for it.
Your operations, running on autopilot. We design and deploy multi-agent AI systems that think, decide, and act — handling complex workflows across customer service, finance, supply chain, and beyond. From a single agent to a fully orchestrated AI workforce.
Stop reacting. Start knowing. We build production-grade machine learning models that forecast demand, optimize pricing, predict churn, and surface decisions before your competitors even see the signal.
AI is only as powerful as the data beneath it. We architect your Data Lake, design ETL pipelines, and build the scalable data infrastructure that makes every model, dashboard, and decision possible.
Twelve weeks from contract to production. Each phase has a fixed deliverable and a fixed payment milestone.
Data audit, use-case scoping, success metrics agreed in writing.
Fixed price, fixed timeline, fixed deliverable. Signed before code.
End-to-end working system on your data. Reviewed live, not in a deck.
Hardening, integrations, monitoring. Real users, real traffic.
Handoff to your team with runbooks, observability, and on-call.
What we ship: working AI systems integrated into your stack — owned, observable, and operated by your team after handoff.
—
—
The technical capability and the commercial capability — both present, both proven, both committed to one outcome: working AI in production.
The person scoping your project is the person building it. The person building it is the person deploying it. No handoffs, no translation loss, no PowerPoint intermediaries.
We don't deliver reports. We deliver running systems that integrate with your stack, scale with your traffic, and degrade gracefully when things break. Because things always break.
CPG demand forecasting. Healthcare patient flow. Retail dynamic pricing. Energy predictive maintenance. Every engagement has ended with a system in production. That is not marketing copy. It is our only metric.
Practical intelligence on enterprise AI deployment — from the team that builds production systems, not strategy decks.