Consultant & builder of agentic systems
AI workflows, human values. For the people who do the work.
Audit first. Then build the right system, embed it in the work, and stay accountable for it working. Less time lost to busywork. More attention for the work that matters.
Every organisation is under pressure to “do AI.”
Most attempts fail the same way. Tools get added, workflows stay the same, and six months later nothing has changed.
The technology was never the hard part. Embedding it is.
AN OPERATING MODEL THAT WORKS
Start with the smallest engagement that tells us something true.
See the work clearly before anyone reaches for a bigger system.
One useful workflow, live and doing real work.
Leave the team with the judgment and practice to run it themselves.
Keep the system useful as the work changes.
ALSO, CREATIVE SYSTEMS
The same craft, applied to production, content, and film workflows.
makeitlux.comA technology only matters once it’s embedded in how people actually work.
The point of a faster system is a calmer person.
The subtle UI breathes at the rhythm of a resting body. Focus on one thing at a time. The operating system asks for less of your attention, so the work gets more of it. Breathe.
We start with the lightest useful option and go further only when there is a clear need. From practical guidance to a full custom system, nothing is over-built.
Guidance and prompt practice when the team needs a better way to work, not a system.
A shared AI workspace with organised knowledge, reusable instructions, and clear ways of working.
A documented process or tailored AI assistant, with a person reviewing the result.
One repeated task automated inside a tool or channel the team already uses.
A custom workflow with its own records, activity history, and a queue for human review.
One place to see, review, and manage several connected workflows.
A dedicated system for the organisation, used once several workflows have proved useful.
Start light. Add only what the work needs.
Before a build, we agree where human attention creates value and where the system should carry the load.
Before the world had a name for spatial computing, I was already directing it. I directed a Google-supported virtual reality film with Indigenous creators in the Amazon, shot David Attenborough’s Micro Monsters in VR (GV), and built immersive learning that won Platinum at the LearnX awards.
As Director of Immersive Learning, I put spatial computing to work at industrial scale. The work included training experiences deployed across two thousand headsets and production teams of more than fifty people. Each frontier taught me the same thing. The tool matters less than whether people can put it to work.
Spatial computing taught me that. Agentic AI is where I apply it now, as the technical person who goes into an organisation, finds where AI belongs, and builds it into the work.
Contact
One call. Tell me about you.