Service · Design
AI Systems Design & Architecture
Most AI prototypes never reach production because they were never architected to. We design agentic and multi-agent systems, their workflows, tool boundaries, state, and evaluation, so the thing you build survives real users, real load, and real scrutiny.
How the work runs
map · architect · planMap
We scope the system, its decisions, and its failure modes: what it must do, and what it must never do. The boundary is the design.
Architect
Agent and tool boundaries, control flow, state, and the evaluation surface, designed for production, not demo. Every decision has an owner and a test.
Plan
A sequenced build plan your team (or ours) can execute, with the eval contracts that prove it works on every change.
What you walk away with
tangible artifactsA reference architecture for the agentic system: components, boundaries, and data flow.
An evaluation surface: what "working" means, and how it's measured.
Eval contracts that gate every change against that definition.
A sequenced build plan, sized to your team and stage.
A decision & risk map: what the system must never do.
A clear handoff: your engineers can build it, or we build alongside.
Architecture Sprint
Fixed scope → reference architecture + build plan
A bounded engagement that turns intent into a buildable, governable system design, plus the eval contracts to verify it.
Book a fit call →Pairs with governance.
An architecture that's designed to be governed ships faster and defends itself later. See how we make systems audit- and deployment-ready.