60%
More than 60% of inbound calls deflected from human agents, with hold times eliminated.
Fair Work Commission contact centre
Services
AI Process Transformation
We take a manual, slow or broken process and rebuild it around AI. Real automation of real work, with before-and-after numbers to prove it. The classic starting points are high-volume, rule-heavy, queue-based processes: contact centres, approvals, planning cycles and reporting. We have delivered this inside federal government constraints.
The problem
Automating a broken process gives you a faster broken process.
Every organisation has one: the process everyone complains about. It is slow, manual and queue-bound, held together by workarounds and the patience of the people who run it. Everyone agrees it should be better. It never quite makes the list.
Bolting AI onto the side of that process does not fix it. It automates the inefficiency. The work that pays is redesigning the process around what AI can now do, with the people who run it, and proving the result with before-and-after numbers.
What we do
Redesign first, automate second.
- We pick the process with the clearest value.
- We redesign it end to end rather than bolting AI onto the side.
- We build, test and embed with the people who run it.
- We measure the result in hours, cost and service levels.
What you get
A working process and the numbers behind it.
- A process rebuilt around AI and running in production.
- Before-and-after numbers in hours, cost and service levels.
- The team that runs it trained and on side.
- The change managed explicitly, including what people move on to.
Proof
Proven inside the federal government.
At the Fair Work Commission we replaced a legacy phone menu with conversational AI, deflecting more than 60% of inbound calls and ending hold times.
FAQ
Questions we get asked
What kinds of processes suit this?
High-volume, rule-heavy, queue-based work is the classic starting point: contact centres, approvals, planning cycles, reporting. If your process has clear rules, real volume and a queue of people waiting on it, it is a strong candidate.
Will our team lose their jobs?
That is not the goal. The goal is moving people to higher-value work, and we manage that change explicitly: what the team moves on to is part of the design, agreed with them before the new process goes live.
Can you work inside government constraints?
Yes. We have delivered inside federal regulatory and AI governance requirements, and we treat those constraints as design inputs rather than reasons to wait.