Enterprise AI · analysis
The enterprise AI agent evaluation scorecard
A practical control model for testing task completion, evidence quality, permissions, failure handling and operating cost before an agent reaches production.
Founder / EditorElouan
Elouan
Azria
Founder and editor of Actuneuriat and Entreprisma. He writes about how emerging technologies move from corporate ambition into operating reality.
01Latest work
Analysis across AI, robotics and corporate innovation.
Robotics & Manufacturing · analysis
A digital-twin maturity model built for operations
Five stages for distinguishing a useful operating twin from a visual model, and for deciding which data, decisions and ownership should be added next.
Enterprise AI · analysis
Enterprise AI agents are becoming an operating model
The strategic question is no longer whether a company can deploy an agent. It is whether the organization can redesign ownership, controls and work around it.
Robotics & Manufacturing · analysis
Humanoid robots: the economics behind the demos
Impressive movement is not the same as an investable operating case. The decisive metrics sit inside reliability, integration and task economics.
Robotics & Manufacturing · analysis
Digital twins are becoming the industrial control layer
The value of a digital twin emerges when design, operations and maintenance share the same evolving model of a physical system.
Corporate Innovation · analysis
Build, buy or partner? A decision framework for innovation leaders
The right route depends less on enthusiasm for a technology than on strategic control, learning speed and the reversibility of the decision.
Corporate Innovation · analysis
The innovation portfolio review that replaces vanity metrics
A useful portfolio review connects experiments to strategic options, operating capabilities and evidence—not activity counts.
Enterprise AI · analysis
Enterprise AI governance: the control stack leaders actually need
Useful governance sits inside the workflow: clear ownership, approved data, measurable behavior and a recoverable path when an AI system fails.