AI transformation that delivers results.
Most enterprises have the ambition and the pilots. What is missing is the strategy, the engineering and the governance that turn them into something the business can rely on, without stopping operations to get there.
- A costed roadmap in one to two weeks, not an eighty-slide theory deck.
- Agents that reach production because governance is built in, not added after.
- Delivery from Sydney and four Indian hubs, in your timezone.
Book a free AI Health Check.
One to two weeks, fixed scope. You get a scored baseline, a ranked shortlist of use cases and a costed first build.
Enterprises bring us the work they cannot afford to get wrong.
A pilot that cannot be governed never becomes a system.
Three things decide whether AI reaches production.
Not the model. The model is the part that already works.
Know which use case earns the budget
A scored baseline across strategy, data, platform, talent and governance, and a use-case backlog ranked on business value against technical feasibility. The output is a decision you can fund, not a list of ideas. See the readiness assessment.
Agents that survive contact with your systems
Agents grounded in your systems of record through a governed access path, with the autonomy line set per use case rather than once for everything. Most programmes stall at the integration boundary, not the model. See agentic AI.
Governance you can point at, not policy you hope for
Work is proposed, independently checked against the standard it has to meet, and cleared by a person with the standing to refuse it. That is Greenlight, and it is a step in the work rather than a document beside it.
Four reasons enterprises pick us over a strategy firm.
Outcomes, not demos
We prove a use case on one real process with an owner and a before baseline, then let the evidence decide how far it goes.
Twenty years of depth
AI sits on systems that have to keep running. We have been building and operating those systems since long before the models arrived.
Your cloud, your models
The work runs inside your own tenancy, on the model families you have already approved. You are not buying a dependency on ours.
Local and global
Sydney-based engagement with delivery across four Indian hubs, so the overlap is real and the cost base is not an Australian one.
Start where the risk is lowest.
Three ways in. Most enterprises should take the first one, and the reason is that it is the cheapest way to find out you were about to build the wrong thing.
AI Health Check
An outside read on where you actually stand, before you commit a budget.
- Scored maturity baseline
- Use-case backlog, ranked
- Costed roadmap and first build
Build and integrate
One process, taken from approved requirement to governed production.
- Governed delivery lifecycle
- Grounded in your systems of record
- Evidence captured as the work happens
Managed AI
The part most programmes forget to fund: someone owning it after go-live.
- Monitoring, drift and incident response
- Cost per task owned, not discovered
- Model and prompt lifecycle
From a first call to something running.
Rated by the teams we build AI for.
We have got more done in the last 12 months than in the previous three or four years.
Chris GreenCEO, Hungry Jack's
Softobiz is a company that can take any vision of mine and make it into reality.
Softobiz not only leads but drives success in our tech-partner integration.
A 400,000-SKU business changed engines mid-flight
Blackwoods moved decades of operational history onto a new ERP backbone, phased so carefully that service never blinked. Read the story.
Scaling digital operations for a national QSR
Hungry Jack's, where AI runs in the live ordering path and the exceptions still reach a person. Read the story.
Score your own agent in three minutes
Ten questions across the five dimensions that decide whether an agent is production ready. Open the scorecard.
What leaders ask on the first call.
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Bring the pilot that stalled. We will tell you why.
One to two weeks, fixed fee, and an outside read you can take to a board. If the answer is that you are not ready to build yet, we will say that.