04 · Service

AI Systems

Practical AI inside real workflows — assistants, classification, retrieval, and automation grounded in your product.

Who it's for: Teams that want AI where it changes a workflow — not a demo slide.

What you get

  • Use-case framing with success criteria
  • Guarded prompts and tool design
  • Retrieval when your content must ground answers
  • Product and API integration
  • Quality and cost visibility

AI in the workflow

Input
Process
Knowledge
Action
Result
User task in → guarded reasoning + your data → useful action out

Define the user task, success criteria, and where humans stay in the loop.

Quick answers

Custom models?

Usually strong foundation models plus retrieval and tools. Training only when the case clearly needs it.

Connect to our tools?

Yes via APIs and controlled tool calling, with permissions designed in.

Build an AI SystemCapabilities