Expertise
Between the promise (disruption, competitiveness, opportunities) and the reality (rare disruptions, heavy analysis, obstacles to adoption), you need a method. Here are ours.
Sourcing, adaptation, assessment and pre-deployment: our A-I-P framework (Analysis, Innovation, Pre-deployment), built on C-K and Lean methods, turns a flood of start-ups and technologies into an evidence-based capability roadmap for the leadership team.
References:ADEME, Civipol — Cyberspace project, Agence des Pyrénées, French Agency for Innovation in Transport (AIT), ILEAnet — ENSP / French Ministry of the Interior, Hueck Folien, European Commission — CINEA, EIT Climate-KIC
Foresight methodologies and serious games (including AI-based, non-digital ones) to help organisations explore possible futures, measure the impact of change and build the resulting strategy.
References:French Building Federation (FFB), AHEAD — European project
Organisation of hackathons and innovation challenges on site, remotely or hybrid, over two days or several months, from the municipality to Europe: new solutions carried by students, identification of innovators (start-ups, SMEs), an antechamber to public procurement.
References:ADEME, French Building Federation (FFB), Civipol — Cyberspace project, French Development Agency (AFD)
Building and running dedicated collective-intelligence ecosystems: innovator observatories, SME clusters, incubators, to capture under-the-radar innovations and create a lasting investment.
References:ADEME, French Building Federation (FFB), Météo-France, French Agency for Innovation in Transport (AIT), Agreenculture
Collective-intelligence workshops and practices, across and within organisations, to drive change and bring out innovative solutions: creative thinking, good practices of open public innovation, new policies.
References:Agence des Pyrénées, Clever Cities, French Ministry of the Interior — MInnov, AHEAD — European project
Create from scratch or assemble innovative building blocks, then transform operations: business model, user and market acceptance, deployment and change management.
References:French Development Agency (AFD), ILEAnet — ENSP / French Ministry of the Interior, Hueck Folien, Endomedica GmbH, Agreenculture, EIT Climate-KIC
Data analysis, statistics, modelling and artificial intelligence applied to concrete problems: industrial IoT and predictive maintenance, connected health, precision agriculture. Expertise built by founding and running technology companies, not only by advising them.
Expertise forged by co-founding three technology companies
Method
Analysis, Innovation, Pre-deployment. Integrate existing knowledge, expected constraints, the innovative building blocks to test and the constraints of future deployment: identify, assess, integrate and pre-deploy innovations to reduce risk.
Context analysis, identification of drivers and constraints, technology trends and weak signals. We start from the question that needs answering.
Identification of innovators and the ecosystem, challenging innovations, scoring, ranking and ability to combine building blocks.
Testing, scoring and acceptance of solutions, applied solutions: an evidence-based capability roadmap for the leadership team.
Assess
Fewer than 2% of innovations are full answers; fewer than 20% are adaptable; 60% come too early. Our business / technology quadrant positions each solution and guides the decision: adopt, adapt, assemble or wait.
Contact
Tell us the question that needs answering: we will propose a tailored A-I-P scope — short assignment, challenge, ecosystem or long-term support.
