AI agents and AI employees that do the work — and show you the scorecard.
An AI agent is software that takes a goal, uses your systems and tools, and completes multi-step work with a human in the loop where it matters. We build them for sales, support, finance, operations and the phone — governed, measured and in production, not in a demo.
Eight AI employees we deploy most.
Each one starts from a proven pattern and is tuned to your systems, policies and tone. Every agent ships with a governance file: what it may do, what it must escalate, and what it will never do.
Sales development agent
Qualifies inbound leads, enriches them from your CRM and the web, books meetings, drafts follow-ups — and hands off to a human the moment intent is real.
Customer support agent
Resolves tier-1 tickets from your knowledge base and order data, escalates with a full summary, and never invents a policy. Measured on resolution rate and CSAT.
Finance & AP agent
Reads invoices and receipts, matches to POs, codes to the ledger, flags exceptions for approval. Audit trail on every decision.
Operations & scheduling agent
Dispatch, rostering, job updates and customer notifications across the tools your field team already uses.
Voice agent
Answers the phone, qualifies, books and transfers — in an Australian voice, with every call transcribed and scored.
Internal knowledge agent
A governed assistant over your policies, contracts and documents with citations, access control and an answer log. The one that passes the privacy review.
Recruiting & people agent
Screens applications against the role, schedules interviews, keeps candidates informed — and leaves every hiring decision with a human.
Research & reporting agent
Pulls the week's numbers from six systems, writes the board pack draft, flags the anomalies. You read it on Monday instead of building it.
Four weeks to evidence. Then we decide together.
Agent mapping (1 week)
We map the process, the systems, the decisions and the risks, and agree the scorecard: what good looks like, in numbers, before anything is built.
Pilot on your data (3 weeks)
A working agent on real cases, in a sandbox, with an evaluation harness. You see where it is right, where it is wrong, and why.
Production hardening
Guardrails, access control, escalation paths, logging, cost ceilings, and the human-in-the-loop points written into the governance file.
Launch and measure
Live with a dashboard: resolution rate, accuracy, cost per task, escalations. Eval scores delivered before the final invoice.
Run — with your people or ours
Managed AI ops from A$2k/mo, or an AI-trained operator placed in your team through AI Resources to own it.
The commitments nobody else puts in writing.
Australian data residency
Your data stays in Australian regions. Written into the contract, not just said on a call.
We never train on your data
Your data trains nothing — not our models, not anyone else's. Access is logged and revocable.
Eval scores before the final invoice
For every agent and model feature you get accuracy, refusal rate and failure modes in writing before the last invoice. If it misses the agreed threshold, we are not finished.
Built to pass a privacy review
Documented decision logic, human-in-the-loop where it matters, and a Privacy Act 2026-reform checklist on every build.
What an AI employee costs, in AUD.
Model usage is passed through at cost with a monthly ceiling you set. Most production agents run for less than the cost of one part-time hire; the pilot tells you the real number for your case.
| Agent mapping One week · process map, risk register, scorecard, fixed pilot quote | A$4,500, credited |
| Agent pilot Four weeks · working agent on your data with eval harness | from A$12k |
| Production agent Hardened, integrated, governed, launched with dashboard | A$30k – A$120k |
| Multi-agent system Several agents with orchestration, shared memory and controls | A$120k – A$250k |
| Managed AI ops Monitoring, re-evaluation, model updates, prompt and tool changes | from A$2k/mo |
Make the decision with the facts.
Agent vs chatbot vs automation
A chatbot answers. An automation follows fixed rules. An agent pursues a goal across tools and decides the next step. We will tell you which one you actually need — it is often the cheaper one.
→What an AI agent costs in Australia
Pilot, production, run costs and the hidden ones — with the assumptions written down.
→AI workflows first?
Many companies get 80% of the value from automating twelve workflows before any agent. Start there if your process is stable.
→Questions, answered straight
What is the difference between an AI agent and an AI employee?
Marketing. An "AI employee" is an agent given a role, a scope and a manager. We use the term because it makes the governance question obvious: who does it report to, what may it decide, and what happens when it is wrong.
Which model do you use?
Whichever scores best on your evaluation set for the task, cost and residency requirements — Anthropic, OpenAI, Google and open-weight models are all in regular use. The architecture is model-agnostic so you are never locked to one vendor's pricing.
Does the agent decide anything on its own?
Only within the limits in its governance file. Anything involving money, people, legal commitments or policy exceptions is escalated to a named human with a full summary.
How do you stop it making things up?
Retrieval with citations, tool use instead of recall, refusal rules, and an evaluation harness run on every change. The scorecard shows the hallucination and refusal rates; you see them before the final invoice.
Can our own team run it afterwards?
Yes. Every build ships with the governance file, runbook and evaluation harness, and we can train or place an AI-trained operator through AI Resources.
Where does our data go?
Australian cloud regions, access-controlled and logged. We never train models on your data and that is written into the contract.
Scope your first AI employee.
One week of agent mapping, a scorecard you agree, and a fixed pilot price. Then evidence, not opinions.
Tell us what you need.
One form, one senior person replies. If we are not the right fit we will say so and point you somewhere better.