We work where the technology ends and the organisation begins

Dromologue is a software and consulting company. The constraint on enterprise AI adoption, scale and value is not technological. Your operating model needs to change in order to manage the new velocity and autonomy that AI both enables and requires. We help you do this. Our services include advisory on what we see as the critical nine disciplines underpinning the new operating model as well as a set of AI skills and agents that guide your teams as they build. We do not believe in big-bang transformation - our approach is to help you manage the evolution of your new operating model one team and use case at a time. Every release implements an increment of the new operating model that is well documented, tested and compliant.

The name

Dromos is the Greek for the course itself, the racecourse or the run, and not the destination. Paul Virilio built dromology on it, the study of speed as a determinant of social and political form, on the claim that whoever moves faster governs. A dromologue is the discussion that follows: how organisations and industries grow under conditions of near-instantaneous making, and what has to be in place for judgement to hold when value can be created that fast. The argument in full, from Virilio's genealogy of vehicles to the trade a firm makes when its value circulates faster than its governance, is set out under what is a dromologue.

The name carries the argument. Organisations do not change because a leader announces it or signs off a budget; they change only when the way the work runs changes: who gets to decide, how work flows, what gets measured and rewarded. Redesign those and the change holds. Leave them untouched and the organisation nods, adapts around the initiative, and carries on as before. Most transformations fail for want not of ambition or money, but of anyone willing to redesign how the work happens.

The founder

Justin Arbuckle is the founder and principal of Dromologue. For thirty years he has built and run technology where the stakes are highest: a global technology function at HSBC spanning 52 markets, a platform company built inside Scotiabank, a regulated-industries DevOps transformation consulting practice at Chef Software that became the firm's most profitable in the world, and AI at scale in financial services at both Schroders and HSBC. Each taught the same lesson, and it is what Dromologue is built on: the binding constraint on technology value is the organisation, and its leadership, not the technology.

What we believe

The dominant model for enterprise AI advisory assumes that the technology is the hard part and the organisational change will follow. We think this is the inversion of the actual problem. The technology is available, commoditising, and increasingly interchangeable. The operating model, how decisions are made, how work is verified, how costs are owned, how roles are shaped around the new reality of what AI can do, is the variable that determines who captures the surplus. A firm that has designed those structural conditions correctly will extract value from each successive wave of AI capability. A firm that has not will repeat the same failure with better models.

It is also why we ship software rather than recommendations. A policy in a document is followed by whoever remembers it. A skill with an evaluation set behind it can fail a build, and a practice that can fail a build is one the firm actually runs rather than one it has agreed to.

If everyone has AI, and everyone can build cheaply, your advantage will not come from just improving engineering. It comes from reconfiguring your business for the high-velocity change AI enables and the market leaders will exploit.