AI Infrastructure — Regulated Environments

AI agents that pass audit.

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.

agent-pipeline — live trace
tracing
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Simulated pipeline. Every request runs the same guardrail chain a production build ships with.

From me, directly.

Ninety seconds on what I build, who it's for, and why it's worth a conversation.

2 yearsin production, not prototypes
FCA-regulatedenvironment, day one
AWS · BedrockTerraform, full IaC
Full tracingLangfuse + OpenTelemetry

Most AI agent projects don't fail at the model. They fail at the parts nobody demos.

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.

Every request crosses one chokepoint. Everything is written down.

VPC — PRIVATE SUBNET Private data Aurora PostgreSQL no public endpoint Agent orchestrator Bedrock · ECS Fargate scoped IAM role GUARDRAIL CHOKEPOINT pii · scope · output every request Your users app · API · internal authenticated Audit log store Langfuse + OpenTelemetry — immutable, queryable read-only pass / block every event, traced

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.

swipe the diagram →

Pick based on whether you want it taught or delivered.

Advisory

Build it with you

You've got engineers. You need the architecture right and a straight answer on where the security and compliance gaps actually are.

  • Architecture review & design for your agent system
  • Security and observability audit of what you've already built
  • Hands-on sessions with your engineering team
  • Documentation your compliance team can actually read
Best for: teams with in-house engineers who need direction, not delivery.
Enquire
Delivery

Build it for you

End-to-end build. Infrastructure, agent orchestration, your private data, full observability — shipped and handed over working.

  • AWS infrastructure — ECS Fargate, Terraform, IaC throughout
  • Agent build on Bedrock/Claude, integrated with your private databases
  • Full tracing and logging — Langfuse + OpenTelemetry, from day one
  • Handover: runbooks, documentation, support window
Best for: teams who want it done, not taught.
Enquire

Don't take the bullet point's word for it.

"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.

Same four steps either way.

01

Discovery call

What you're trying to automate, what data's involved, and what "safe" needs to mean for your specific business.

02

Architecture & scoping

A plan you could hand to your own security or compliance team before a line of code is written.

03

Build or advise

Depending on which offer fits — I build it, or I sit alongside your team while they do.

04

Handover

Documentation, runbooks, and a system your team can operate without me in the room.

AWS ECS Fargate
AWS Bedrock
Aurora PostgreSQL
Terraform
Langfuse
OpenTelemetry
Python / Flask
Next.js
Azure DevOps Pipelines

Have a look, then get in touch.

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.

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