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Service 06

AI agents & assisted workflows

An AI agent earns its place only when a task needs judgment a rule cannot express — classification, extraction or drafting. Every model call we ship is wrapped in guardrails, evaluation against your own data, logging and human review, so the output is traceable rather than trusted blindly.

You probably need this if

  • 01

    Someone reads every incoming document and sorts it by hand

  • 02

    Rules cannot capture the judgment the task really needs

  • 03

    You tried an AI tool and could not tell whether to trust it

What we build

How this works in practice.

We reach for an AI model when a task needs judgment a rule can’t express — classification, extraction, drafting — and we wrap it in guardrails, evaluation and human review so you can trust the output.

  • Classification and extraction where rules fall short
  • Drafting assistants that keep a person in control
  • Guardrails, evaluation and logging around every model call
  • A clear boundary between what the AI decides and what it doesn’t

FAQ

Questions about ai agents & assisted workflows

When should we use an AI agent instead of a rule?

Use a rule whenever the logic can be written down and is stable, because rules are cheaper, faster and fully predictable. Reach for a model only when the task genuinely needs judgment, such as reading unstructured text or classifying something a person would have to interpret.

How do you stop an AI system making things up?

We constrain models to your own data, validate every output against a schema before it is used, and route low-confidence results to a person. Anything with real consequences requires human approval before it executes.

Related work

Systems like this, written up.

All work

Other services

Tell us what’s still done by hand.

One workflow, honestly described. We’ll tell you whether it’s worth automating.

Map this workflow