01 · AI Agents

AI agents for SMEs in Hong Kong and Australia.

AI agents can take action in your business without asking. That is the value and the risk. Cheap agent SaaS gives you a login. We give you control.

Who this is for

Owners and leadership teams of businesses with roughly 20 to 200 staff who can see the workload an agent could take, and who worry about what happens when software starts acting on its own.

What to harness

Real workplace jobs where agents already earn their keep, with a human still in charge.

Keeping agents under control

The fear is legitimate. An agent with too much access is a junior employee with the keys to everything and no manager. Every 3 Peat agent deployment ships with three controls.

Your options, honestly

The order matters

Agents come after infrastructure and run under governance, with trained staff in charge.

If the work still lives in WhatsApp, Excel, or paper, you are not ready to buy an agent. Read what AI for an SME actually means →

Proof

Case study · 01

Precious metals refinery

Regulated and sensitive. The cloud was never an option, and the enquiries never stop.

Australia · On-premise
9,000Enquiries / month

Client anonymised. Data never leaves their premises.

Harness agents. Don't hope for the best.

Everything starts with a readiness audit: what is worth handing to an agent, what is not, and what to ignore.

FAQ

A chatbot answers questions. An AI agent takes action: it reads an enquiry and drafts the response, matches an invoice against a purchase order, or fills in a tracker without being asked each time. That autonomy is where the productivity is, and where the risk is. An agent needs defined limits the way a new employee needs a job description.

Three controls. First, scope: the agent only gets access to the systems and data its job needs. Second, human-in-the-loop: actions above a defined threshold, like sending money or contacting a customer, wait for sign-off. Third, trained staff: the people who own the process know how to review, correct, and switch off the agent. We set all three up before go-live.

Yes. An unmanaged agent is a liability regardless of how good the technology is. We train the staff who own each workflow to supervise the agent, spot bad outputs, and escalate. Training is part of every agent engagement, not an optional extra.

Someone who starts with an audit of your workflows, not a product demo. Free programmes like Australia’s AI Adopt Centres and Hong Kong’s public SME schemes are good for literacy and first experiments. Agent SaaS subscriptions give you a login and leave the risk with you. 3 Peat designs the agent around your systems, sets the limits, and trains your staff to manage it.

When the work still lives in WhatsApp threads, spreadsheets only one person understands, or paper files. An agent cannot act on knowledge that only exists in someone’s head or a filing cabinet. Fix the infrastructure first. That is why our order is Infrastructure, then Governance, then Training.