Human ambition. Collective intelligence.

Ben Kaminsky has spent two decades working at the intersection of human information, business intelligence and enterprise decision-making. His work follows a persistent question: how do you turn what an organisation knows into decisions its people can explain, act on and defend?

Before founding EVA.ai in 2018, Ben founded and led the Business Intelligence and Semantic department at CARMA, the international media intelligence group. His work included managing accounts for organisations such as SAP, adidas, Volkswagen, BT and the European Commission. That experience grounded his approach in interpreting complex information for people responsible for consequential decisions.

Across that work, he returned to a recurring challenge. Large organisations rarely lack information. They struggle to connect it across systems, functions, languages and countries. A shared label can mean different things to different teams. A useful analysis can arrive without anyone responsible for acting on it. Automation can accelerate a process while leaving the underlying decision unclear.

EVA applies that perspective to the workforce. Competency mapping, development, mobility, recruitment and workforce planning each reveal part of the organisation. Ben's focus is on helping those parts inform one another, with visible evidence, explicit assumptions and clear human accountability.

He leads a London-headquartered, distributed team of 20 people working across applied AI, engineering, business analysis and client delivery. His role spans company direction, product development and client programmes. He remains closely involved in scoping the question, shaping the framework and examining what the analysis means in practice.

Ben also brings this experience to conferences, panels and leadership discussions. His speaking and coaching engagements have included UNLEASH in Las Vegas, the PwC Scale Accelerator in London, Geneva Business School, the University of Greenwich and Allied Masterclass in Dubai. He connects the possibilities of intelligent systems with the organisational realities that determine whether people can use them.