Insights on Agentic Intelligence, Systems Design & Applied AI
Enterprise AI in the EU-India Corridor
The twin transition is not two parallel initiatives. It is one integrated industrial strategy where digital transformation and sustainability are mutually dependent. At the India AI Impact Summit 2026, a roundtable organised by the Federation of European Business in India brought together the EU Commission, Airbus, Schneider Electric, SAP, Ericsson, and Merck Life Science to examine what this integration requires from AI. The answer was consistent across every panellist: AI embedded in operational design from the outset, governance as architecture rather than afterthought, trust as the precondition for enterprise adoption, and interoperability across the EU-India regulatory landscape. This is the corridor Mitochondria was built for.
Building AI Infrastructure for the Organisations That Need It Most
Agentic AI is designed to undertake comprehensive workflows and exercise judgement within defined boundaries. It does not merely execute predefined tasks according to rigid rules. It navigates complexity, handles exceptions, and makes contextual decisions that previously required human attention. This requires organisational readiness that most organisations lack: data infrastructure, process clarity, technical capability, and leadership prepared for a different relationship between human and artificial intelligence. Organisations that wait until they are ready before deploying AI often wait indefinitely. The work of building data infrastructure, documenting processes, and developing integration capability is not urgent until something demands it. Deployment itself is a forcing function for readiness. We design our deployments to harness this constructively, building readiness through deployment rather than waiting for readiness before deployment begins.