About.

Reports that get compiled every week. Research copied into decks. Leads chased across tools. Updates synced manually between systems. It adds up.

I work with business teams to reduce that load. Sometimes that means a workflow rebuild. Sometimes a small automation that quietly removes an hour a day. Sometimes it's a workshop that helps a team see what's worth automating in the first place. The aim is the same in each case, less manual work, more time for the work that actually needs a human.

I've spent most of my career inside operating roles, running ops, building processes, sitting close enough to the work to see where it broke. The same patterns kept showing up. Smart teams stuck on repetitive tasks. Tools that didn't talk to each other. Workflows held together by someone remembering to do something on a Tuesday.

The goal of automation, the way I think about it, isn't fewer people. It's people doing higher-value work. Repetitive work is a poor use of human attention. The point of removing it isn't to shrink the team. It's to free the team for the work that actually needs judgment.

AI fits into this in a specific way. The label is AI automation because that's what the market calls this category. In practice, I use AI where it earns its place and don't where it doesn't. A lot of useful automation has no AI in it at all. Some of the most valuable work I've done was wiring up systems that already existed.

Most engagements move through three things in some order: figuring out what's worth automating, building it, then making sure your team can run it without me.

The first part is usually the most useful. A lot of what teams ask for at the start isn't quite what they need by the end. Sitting with the workflow, watching where it actually breaks, often changes the brief. The build is then narrower and lands better.

The last part matters more than people expect. A system nobody on the team understands is a system that quietly stops working. So part of the job is making sure the people who run it day to day know what it does, where it can break and what to do when it does.

I've worked with teams in fintech, real estate, edtech and professional services.

A listed real estate developer automating its paid media monitoring across Meta and Google Ads. A financial services firm scaling content operations from 10 blogs a week to 10 a day. An edtech operator cutting placement evaluation time from 20 minutes to under two minutes per candidate. A consulting firm automating client onboarding the moment a payment came through.

Specific projects are written up on Work.

If any of this sounds like the kind of help your team could use, the easiest way to find out is a short conversation.