Skip to content
Artrilogic
Agentic AI

Agentic AI that ships, audits, and stays portable.

Production agentic workflows for Australian businesses. Decomposed so the context window is not the constraint. Governed at the integration layer, not at the prompt. Built to outlast whichever model is in fashion this quarter.

The feeling

Demos look magical. Production trials reveal a context-window cliff.

The first agent prototype impresses everyone in the room. The second iteration discovers that the model loses track of state past the third tool call.

The cost of doing nothing

Naive agent stacks become single points of failure for the workflows they touch.

Without governance at the integration layer, an agent that misfires can cost real money or send the wrong customer-facing message before anyone notices.

The calm offer

Decomposed slices, governed integrations, supervised on irreversible action.

Boring engineering on top of impressive technology. The result is an agent stack you can run a Tuesday on and an audit on Friday.

How we build them

Four engineering principles.

The novelty is in the model. The reliability is in the four principles below.

  • Decompose for the context window

    Frontier models still struggle past their context limit. We slice the work the model can hold in mind at once. The slicing is where the engineering lives, not the prompt.

  • Govern at the integration layer

    Agents call your systems through governed interfaces (MCP servers, API gateways, identity providers). Not by remote-controlling a UI. Auditable, rate-limited, revocable.

  • Human-in-the-loop on irreversible action

    Anything the agent does that costs money or sends a customer-facing message gets a human checkpoint. Reversible reads are agent-only. Everything else is supervised.

  • Vendor liquidity by design

    Built so the model is swappable. Today it's Claude or GPT or Gemini. Next year it might be a sovereign model. Your agent layer should not care.

Want to walk through a specific agentic workflow?

An hour with a senior architect on your specific use case is a reasonable first step. Bring the workflow, we will bring the engineering perspective.

Agent architectures is one of the streams we watch as part of our forward research.