AI Strategy Should Not Begin With Tools
AI strategy should begin with maturity, feasibility, risk, and governance, not tools. An overview of the FelixSchallerCOM advisory services for AI strategy, safety, and technical due diligence.
AI strategy should not begin with tools. It should begin with maturity, feasibility, risk, and governance.
At FelixSchallerCOM we have published a four-page overview of our AI Strategy, Safety, and Technical Due Diligence advisory services. The document outlines how we support organisations, investors, and engineering leadership in evaluating AI initiatives before major capital, technical, or reputational commitments are made.
What the overview covers
- AI strategy and feasibility advisory
- Technical due diligence for AI, autonomy, and deep tech
- SOTIF and autonomy safety risk review sprints
- Architecture reviews for regulated AI systems
- Interim and fractional AI safety leadership
- The AI Strategy Maturity Matrix
- SLAM, SafeWahr research, and autonomy safety validation
The AI Strategy Maturity Matrix
A key focus of our work is the model-based AI Strategy Maturity Matrix: a structured framework to assess how far an organisation has progressed in AI adoption, which prerequisites are missing, and which initiatives are technically realistic, governable, and economically meaningful.
AI strategy should not be driven by hype, vendors, or isolated use cases. It should be built around one question: what conditions must be fulfilled before AI can be trusted to act?
Download the full advisory overview
The four-page service sheet covers all advisory areas, the methodology, and how engagements are structured. It is suitable for sharing with leadership, investment teams, or technical partners evaluating external advisory support.
[Link the PDF on import: AI Strategy, Safety & Technical Due Diligence, Advisory Overview.]
