AI is moving fast. The hard part isn't finding another AI tool. It's knowing where it can make a real difference to your business. That's where we come in.
Luminum helps businesses find useful opportunities for AI and automation, turn good ideas into working solutions, and measure whether they made a difference, through three lenses: Efficiency, Productivity and Protection.
What we do
You might have a process that takes too much time, a team wondering how to use AI properly, or an idea you want to test before spending months and thousands of dollars building it. Whichever it is, the work starts with the problem and ends with a result you can measure.
Consulting
Most businesses have time to save. The hard part is knowing where.
We look at how your business works and find the places where automation could save time, reduce effort or remove unnecessary work. Then we help you work out what to do first, and what isn't worth doing.
Where your team needs to build confidence with AI, we run hands-on sessions using real problems from your business and the tools you already have, usually Claude, ChatGPT or Copilot. People leave with useful skills and ideas they can try the same week.
Build
An idea is worth testing before it is worth building.
We turn the idea into a working prototype quickly, so you can put it in front of real people, see what works and learn what doesn't, before making a big investment.
We build in the tools people are already prototyping with, including Lovable, Supabase and Claude Code, and we know where each one stops being enough. Alongside the prototype, we put a number around the opportunity: what it could save, what it could improve, what risk it could reduce. That number is what decides whether it goes further.
Production
Running something people depend on takes more than a prototype.
Once the idea has proved itself, we turn it into a proper working product, with the right hosting, infrastructure, security and processes behind it. If it started life in Lovable or another AI app builder, that is a path we have taken before, including agentic workflows that run a process end to end rather than a chat window that answers questions.
Then we keep measuring. We connect the investment to the things that matter to the business, such as time saved, productivity, risk reduced or better customer outcomes, so you can see what was promised, what happened and what to do next.
How we work
We start with the problem, prove the value, and keep moving. The technology comes later, once we know what it needs to do.
We work with you to understand what's happening today, where the biggest opportunities are and what is worth pursuing.
You get a clear plan with a short list of things worth doing first.
Before committing serious time or money, we put a number around the opportunity. What could it save? What could it improve? What risk could it reduce?
Then we build measurement into the work from the beginning, so you can see whether the expected value is showing up.
Getting something live is only the beginning. We come back regularly to look at what was planned, what was delivered, what value has been realised and what should happen next.
That keeps the work moving and keeps the plan current.
Independent advice
When the organisation that recommends the plan also profits from building it, the incentive to recommend a bigger plan is built in. Luminum's advisory work is not tied to selling a platform or billing implementation hours.
When we do build, it is because the value case said the work was worth doing, and the number that justified it is the number we are measured against afterwards. If it does not move, we will be the ones to tell you, and to say what we think should change.
Giles Sutherland, founder
Who's behind Luminum
Luminum was founded by Giles Sutherland after eight years at ServiceNow helping organisations across Asia Pacific connect technology investments to measurable business outcomes, and before that as the customer, running platform investment from inside Downer.
Today the same approach is applied to AI and automation: find the problem, prove the value, build what works, and measure what happened.
Let's talk
A conversation about the problem, the opportunity and whether there is something worth pursuing. If there isn't, we'll say so.