Four engagements. Every one ends with a system you can operate.

Two week engagement. We audit your current operations, identify the workflows where AI delivers measurable return, and produce a deployment plan, not a slide deck. You leave with a prioritized backlog and a hardware shopping list if relevant.

• Operational interview and process mapping
• Tool, model, and infrastructure recommendations
• ROI projection by workflow
• Written deployment plan with phasing

Hardware specification, network design, model selection, and sourcing for production AI infrastructure. We work with your IT or build the spec for procurement. Outcome is a documented architecture you can hand to integrators or that we deploy ourselves.

• GPU and CPU node sizing
• Network topology, VLANs, and security boundaries
• Open and proprietary model evaluation
• Procurement support, Canadian sourcing where viable

We map your operational processes end to end, identify the human steps that an autonomous agent should own, and build the agents. Delivered as running infrastructure with monitoring, alerting, and a runbook your team can operate.

• Process mapping and bottleneck identification
• Agent design and prompt engineering
• Custom MCP servers when integration requires it
• Monitoring, alerting, and operator runbook

Monthly retainer for clients running infrastructure we deployed or comparable systems. Monitoring, model updates, scaling guidance, incident response, and quarterly architecture review. Direct line to the operator who built your stack.

• Monthly health review of running systems
• Model updates and version migrations
• Scaling and capacity planning
• Incident response and post mortem facilitation