Technology is moving faster than organisations.
The gap that can open up needs managing. It is full of opportunities to seize.

See the themes ↓

Switch off the autopilot to explore some of these themes with me.

The game has changed

Every year brings a new lever. Automation, robotics, digital simulation, mobility, cloud computing, subscriptions, data, IoT. Today, AI. Tomorrow, humanoid robotics, smart contracts, quantum computing.

The manufacturers who benefit are not those who buy the most tools. They are those who know where they are going, choose their initiatives and learn faster than the rest.

The others stay stuck: a target that is impossible to visualise, too many initiatives at once, obstacles that have become invisible, dependence on service providers, a culture that projects never reach.

We have no crystal ball, so we test innovations for industrial resilience and performance in a resource-constrained world. Looking ahead, we develop principles and rules for design and delivery

Our ambition: for you to reach your objectives efficiently, with an organisation that learns and technology ready for what comes next.
Skills management across an organisation: 1. skills serving current missions (people, processes, intellectual property, assets); 2. unused internal skills and external skills that can be brought in temporarily; 3. missing skills to develop for the new horizon.
Themes

System autonomy

Applied research initiatives, from the autonomous factory to P&L. My convictions: agree on what should change, agree on the target to reach, support the change and measure the impact of the transformation.

  • Agentic digital twins — Template-based creation of digital assets, fine-grained handling of disruptions without supervision, a systemic view of cross-functional operations.
  • Dark factories — Autonomy of information systems, decision-making and delegation, physical dependencies and integration into customer supply chains.
  • Elementary data models — For simulating supply chains, plant networks, assets and use cases.
  • Environmental factors — How environmental factors appeal to decision-makers and how they are taken into account in transformations.
  • Supply chain resilience — SIOP: weak signals, scenario simulation, automated response to disruptions.
  • Governance of networked AI agents — Capability, governance, levels of autonomy, logging, limits and control of actions.
  • Agents and knowledge work — Forecasting the impact of agentic systems on support functions and knowledge work in industry.
  • Transformation of roles — New skills, behaviours and qualities; adapting job descriptions and recruitment processes in industry.
  • Transformations and P&L — Links between transformations, income statements, management control and industrial performance management.
  • Technology and market watch

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