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Service 01

Most AI projects die between the prototype and the process. We build the part that survives contact with your business.

Why people call us

  • 01

    A model works in a notebook but nobody can put it in front of a customer.

  • 02

    Your team re-types the same information between four systems every day.

  • 03

    Support, ops or finance is scaling headcount linearly with volume.

  • 04

    You need AI in the product but cannot risk it inventing answers.

What this includes

AI agents & copilots

Task-scoped agents with tool access, guardrails, escalation paths and an audit trail — not an open-ended chatbot.

Retrieval & knowledge systems

Grounded retrieval over your real documents, tickets and databases, with evaluation on your own questions.

Process automation

Workflow automation across the tools you already pay for, with human review where the cost of being wrong is high.

Document & data extraction

Turning invoices, contracts, forms and email into structured records your systems can act on.

Evaluation & observability

Test sets, regression gates and production tracing, so you can change a prompt without gambling.

Model strategy

Choosing hosted, open-weight or fine-tuned per use case, and what it costs at your real volume.

What you end up with

  • Automation opportunity map with effort and payback per process

  • Working agent or pipeline in production, not a slide deck

  • Evaluation harness and quality baseline

  • Runbook and handover for your internal team

Typical stack

  • Anthropic Claude
  • OpenAI
  • Open-weight models
  • Vector search
  • Python
  • TypeScript
  • Temporal
  • n8n

Indicative, not prescriptive. The stack follows the problem, the team that will maintain it, and what you already run.

Most AI projects die between the prototype and the process. We build the part that survives contact with your business.

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Software Engineering

AI & Automation

The most useful first conversation is about the part that is genuinely hard, not the part that is easy to describe. Tell us where it is stuck.

Typical first engagement
2–3 weeks
Working model
Embedded, in your tools
Reporting
Weekly demo, monthly review
Handover
Documented, always