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Artrilogic

Governed AI automation

Automate the processes your team still runs by hand.

For established businesses whose people spend the day on repetitive work across their systems. We design processes where AI carries part of that work, connected to those systems and kept within limits you set.

An example workflow: work is received; rules and AI are applied where each fits; the proposed action is validated against policy and source records; then it is executed within approved limits or prepared for a person to approve. Anything outside policy, confidence or authority is escalated to a person, and every path leaves a record.

Illustrative example

  1. 01Work receivedA document, email, form or case
  2. 02Rules and AI appliedRules for fixed checks, AI to interpret
  3. 03ValidatedAgainst policy and source records
  4. 04Execute or prepareWithin approved limits, or for approval

Outside policy or authority: a person decides

01 / The question

Anyone can build an AI prototype. The real question is whether it can run part of your business.

03 / Evidence

The groundwork, in progress.

Automation depends on AI reaching your systems safely. Our governed integration work for an Australian SaaS platform is under way, described by its aims until it is complete.

  • Client work in progress

    Governed AI access to an Australian SaaS platform (MCP server estate)

    Making the platform's capabilities available to AI agents through Model Context Protocol (MCP) servers, built on open foundations, with access governed at the integration layer.

    Read the case study

All published work, delivered and in progress, is on case studies.

Start with one process

Got a process that already hurts? Bring it.

We will map it with the people who run it and tell you which steps AI should take, which need a person, and whether the first win needs AI at all.