Agent Systems Engineering
Your agent works in demos. We make it work in production.
The demo-to-production gap
Your team built an agent prototype. It works in demos. It impresses stakeholders. And it's nowhere near ready for production.
The gap is everything that demos don't test: what happens when the LLM hallucinates at 3am? How do you debug a non-deterministic system? What does your cost curve look like at 10x the current load? Who gets paged when an agent makes a bad decision?
Most agent systems never cross this gap. Not because the AI isn't good enough, but because the engineering around it isn't production-grade. And every month your prototype sits in staging is a month someone else is shipping theirs.
The production gap
Production means engineering
We've been building supervised, fault-tolerant, concurrent systems for years. Process supervision, state management, graceful degradation, cost-aware routing. The agent era didn't invent these problems; it repackaged them with new interfaces.
We apply that experience to your agent infrastructure. Your stack, your models, your constraints, your budget. The goal is an agent system your team can operate and monitor on their own, not a research project that needs its creators to babysit it.
What we cover
- Production readiness assessment. An honest evaluation of what's missing before you go live
- Orchestration and fault recovery. Supervision, state management, and retry logic so your system heals itself
- Cost controls. Model routing, response caching, and prompt efficiency so your bill doesn't scale faster than your users
- Observability. Logging and tracing built for non-deterministic systems, not bolted on after the first outage
- Security hardening. Prompt injection defence, data boundaries, access control, and audit trails
How we work
Agent systems are new territory for most teams, but the engineering approach is proven.
Assess
We review your existing agent system: architecture, failure modes, cost profile, security posture. You get an honest picture of production readiness.
Design
We design the orchestration layer, observability stack, and operational runbooks. The architecture decisions that determine whether your system is maintainable or a time bomb.
Harden
We implement reliability improvements, cost controls, security measures, and monitoring. Each change is measurable and deployed incrementally.
Hand off
Your team inherits a system they understand and can operate. Documentation, runbooks, and the knowledge transfer to maintain it independently.
Agent system stuck in demo?
Let's figure out what it takes to get to production. Get in touch — we do a free 30-minute call to assess your situation and give you a straight answer.