Agents, demystified
Most coverage of AI agents lands somewhere between "this changes everything" and "the LLMs will replace your team next quarter." Neither is helpful if you're trying to decide whether to fund a pilot.
This guide steps through the questions we ask Australian clients when they bring us an agent brief. The ones that determine whether it'll be a working production system in six months or a graveyard pilot in three.
1. Is this actually agentic work?
An agent is software that plans, acts, and verifies, often across multiple tools. If your problem can be solved by a static workflow, you don't need an agent; you need a workflow. Pick the right tool.
2. What's the human-in-the-loop model?
The best agent systems are designed around the human escalation path from day one. Where does the agent pause for approval? What information does the reviewer need? How does the system learn from those decisions?
3. Where will it run, and who owns it?
Australian businesses have data residency, privacy, and increasingly regulatory considerations around AI. We design every agent system with these answered up front, not patched in after a security review.
4. How will you know it's working?
Without an evaluation harness, you can't safely upgrade your model, change your prompts, or measure quality drift. The best teams invest in evals before they invest in scale.
Where to start
We typically recommend a focused 4–6 week proof-of-value engagement: one workflow, one team, measurable outcomes. Talk to us if that's where you are.
