Flow Dynamics is new. The work behind it isn't.

I spent two decades inside large, complex organisations solving a particular kind of problem: the expensive decisions hiding in operational data that normal reporting can't see. [VERIFY: name the work / employers you're comfortable stating publicly, e.g. Cisco, Glencore]

Flow Dynamics is the bet I've made on that experience. The premise is simple: most operations are sitting on six or seven figures of avoidable cost, buried in the gap between systems that don't talk to each other. The data already exists. What's missing is the intelligence to surface it, and a way to do that without handing sensitive operational data to a cloud vendor.

The thing that turned our heads was transport. We ran our first transport engagement and surfaced £1.3M of avoidable annual cost in 30 days. That result was striking enough that we focused the entire business on UK transport operations from that point on.

The analytical approach (extracting decisions from operational data, building models that surface what's hidden, doing it inside complex enterprise environments) is what I've done for twenty years. [VERIFY/EXPAND: a sentence or two on the kind of work, e.g. decision-extraction systems at Cisco and Glencore]

That work sits on a foundation of deep infrastructure expertise. [VERIFY: CCIE (14 years), MBA with distinction, any recognition you want to cite, only what you're comfortable making public]

Before Flow Dynamics focused on transport, the same method was applied across other sectors: financial services and insurance among them. Those engagements are referenced on the site. What changed with transport wasn't the method. It was the scale of what the method found.

"Your hardware. Your data. Your network. Proven before you commit."

Most AI vendors want your operational data in their cloud. We do the opposite. We deploy AI hardware to your site, run the models on your own data inside your own network, and nothing leaves your environment. For sensitive operational data, that isn't a feature. It's the whole point.

We're focused only on transport. Not a generalist AI shop dabbling in logistics. A specialist who understands the operation. And you work directly with the person doing the work, not a junior consultant handed the engagement after the sale.

We always start small: a slice of your data, used to prove the savings are real, before you commit to anything bigger. You find out exactly what's possible before making a decision. Not on faith, on evidence.