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service 02

AI Systems

Agents, pipelines and internal tools that take the repetitive half of the work off your team.

Timeline
3 to 8 weeks per system
Starts at
From $4K
Works with
Agents, RAG, Automation

A model with judgment and no authority is useful. A model with authority and no constraints is a liability you will find out about later.

what you get

  • 01

    Process mapping before any model

    The automatable part of a workflow is usually smaller and more specific than it first looks. We find the edge before writing anything.

  • 02

    Deterministic gates around the model

    The model proposes; code and SQL decide. Thresholds are explicit, scores are recomputed rather than trusted, and ambiguity escalates to a human.

  • 03

    Observability from day one

    Every run logged with its inputs, cost and outcome. You can answer what it did and what it cost without reading a trace.

  • 04

    Cost control

    Per-run budgets and guards, so a loop cannot quietly bill you for a weekend.

process

  1. 01

    Map the process

    Sit with whoever does the work today. Document the real path including the exceptions, because the exceptions are the project.

  2. 02

    Prove the hard part

    Build the single riskiest step first against real data. If it does not hold up, you have spent a week rather than a quarter.

  3. 03

    Build the system around it

    Orchestration, storage, gates, error handling, alerting. The unglamorous two thirds that decide whether it survives contact.

  4. 04

    Run it alongside the humans

    Shadow mode until the output is trusted, then hand over the controls with documentation.

deliverables

  • Process map with the automatable boundary marked
  • Workflows in your own n8n or repo
  • Database schema and migrations
  • Error handling, alerting and run logs
  • Setup guide written for your team

related work

questions

  • No. These are built on n8n, Postgres and the Claude API by default because that combination is portable and you can host all of it. If you are already somewhere else, we build there.

  • Depends entirely on volume, and it is measured rather than estimated. Every system ships with per-run cost logging so the number is observable from week one.

  • It is designed for. Low confidence escalates instead of guessing, every decision is logged with its inputs, and the gates are deterministic so a bad model output cannot move money or send mail on its own.

Need thisbuilt?

AI Systems engagements start at From $4K. Tell us the scope and we will come back with a fixed number.

hello@kraftline.org