business
Optimising token usage
Cut your AI bill with leaner context, simpler code and a practical token audit.
Practical AI strategy for founders & leaders
I help founders and leadership teams work out where AI actually fits, and turn pilots into workflows people use every day.

What brings you here?
Why pilots stall
Twenty use cases, and no shared answer to which one comes first.
Nobody can say where the data goes or what the AI is allowed to touch.
The demo worked, but it didn't fit the people doing the work.
How I work
The output is a useful next move, not a giant report.
Trace the work, the people and the data. Separate the symptom from the constraint.
Put value, risk, cost and team capability on one page before choosing the build.
Turn the decision into an architecture, a delivery plan or the first working workflow.
Try it
Pick one task from your week and move the sliders.
One question, different scales
From my first software at 15 to enterprise workflows and multi-agent research, I've followed the same question.
The longer storyStrategy, audits and AI workflows, scoped with your team and built to stick.
How I work with teams Applied workEnterprise platforms, AI integrations, and the decisions about permissions and ownership.
How I work with teams ResearchPhD research at IIT Jodhpur in multi-agent systems and fair division.
Explore the researchFree PDF + monthly letter
The free guide
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business
Cut your AI bill with leaner context, simpler code and a practical token audit.
business
A practical framework, borrowed from the maths of fair division.
business
It's rarely the model. Five reasons, and how to fix them.
If you're working out where AI fits in your team or company, I'm happy to talk. No pitch deck needed.