Two years building production AI agent systems inside an FCA-regulated environment. Now taking on a small number of external builds and advisory engagements — same standard, your business.
Simulated pipeline. Every request runs the same guardrail chain a production build ships with.
Ninety seconds on what I build, who it's for, and why it's worth a conversation.
Anyone can wire an LLM to a chat window. The actual work is: what data can the agent touch, what happens when it's wrong, and whether you can produce a trace of every decision it made when someone asks. If you're in financial services, that's not a nice-to-have — it's the difference between a proof of concept and something Compliance signs off.
Auxo builds the version that survives that conversation: private data, custom code, access control, and a full observability layer from the first commit — not bolted on after someone asks.
One entry point. One exit point. Nothing reaches the data or the user without passing the chokepoint — and nothing passes the chokepoint without being written down.
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You've got engineers. You need the architecture right and a straight answer on where the security and compliance gaps actually are.
End-to-end build. Infrastructure, agent orchestration, your private data, full observability — shipped and handed over working.
"Documentation your compliance team can actually read" is in the offer above — so here's what one actually looks like. A specimen page from a real deliverable format, details redacted.
What you're trying to automate, what data's involved, and what "safe" needs to mean for your specific business.
A plan you could hand to your own security or compliance team before a line of code is written.
Depending on which offer fits — I build it, or I sit alongside your team while they do.
Documentation, runbooks, and a system your team can operate without me in the room.
No pricing on the page — every build is scoped to what you actually need. Book a call and we'll figure out which offer fits.