Operations and multi-site networks
Standards, quality and control across many locations. Rollouts a team actually follows.
DetailsLondon · 27-site network · AI in practice
I run operations for a 27-site dry cleaning network in London and build automations that take repetitive work off the team. Fewer spreadsheets, fewer phone calls, more decisions based on data.
01Services
Each one starts with a process, not a tool. The work is concrete: diagnose, deliver, measure.
All servicesStandards, quality and control across many locations. Rollouts a team actually follows.
DetailsAgents, workflows and integrations that remove repetitive work from the team. Without replacing your whole stack.
DetailsOne number, one source of truth, one report you can read in five minutes.
DetailsAudit, tool selection and step-by-step delivery, with a team that stays after the project.
Details02How I work
Each stage ends with a decision and a document, not another deck. The whole engagement fits on one page.
A week in a store, conversations with the team, measuring time and losses. No assumptions from a deck.
One number that must change, and the simplest route to it. Scope on a single page.
In stages, with a first result in 30 days. The team trains on its own data.
A report after a month: what works, what we fix, whether to extend it.
03Insights
Practical lessons from running a multi-site network and building AI tools. No conference theory.
All postsAutomation projects rarely fail because of technology. They fail because nobody defined what should stop hurting.
Networks grow faster than reporting. At some point nobody knows which stores make money and which only make turnover.
04About
Process first. Tool second.
I run operations for a 27-site network in London, study for an EMBA at WSB-NLU and use AI every day for the work itself, not for slides. This site is a record of what comes out of that.
More about meContact
Describe it in three sentences. I will tell you whether to simplify it, automate it, or leave it alone.