AI Systems Architecture
You are adopting LLMs, agentic workflows, or AI-assisted development at scale. We design the architecture, write the specs, and stand up the deterministic patterns that keep it working in production.
Deliverables
- Architecture documents defining agents, boundaries, data flow, and failure modes
- SKILL.md libraries and codified context rules for agent-safe codebases
- Reference implementations demonstrating the patterns end-to-end
- Human-in-the-loop design review for critical agent decisions
- Governance recommendations: evaluation frameworks, cost controls, audit trails
How we engage
Most AI architecture work starts as a Discovery Sprint (from CAD $12,000) to map the system, then transitions into an Implementation Contract or Fractional Retainer once the direction is clear. Concrete pricing is confirmed in a statement of work.
Working context
Ideal client
You're a scaleup or public-sector team that has moved past AI prototypes and needs a system that holds up in production. You want architecture from someone who runs agent systems daily, not a consultancy that read the same blog posts you did. You value specs and deterministic patterns over demos.