Three fields of expertise — one methodology.
Artificial Intelligence, digital strategy and forensic analysis interlock. Whatever method emerges in one field sharpens the others.
Artificial Intelligence
AI is not just a tool, but a new layer on which information emerges, is weighted and distributed. I work on three layers of this shift: strategic implementation, custom architecture and the question of societal impact.
AI in the enterprise
Successful AI projects start with strategy, not technology. Strategic anchoring, compliance architecture, adaptation of processes and teams, robust ROI expectations – the preconditions determine success earlier than the tool selection does.
In-house developments
spectralQ.ai is taking shape as a forensic investigation platform with multi-agent architecture and adversarial hypothesis testing. ki-agent.org is an interactive Turing test for school classes that conveys AI media literacy in a playful way.
Societal dimension
AI is changing not only the economy, but the conditions under which perception and decision-making emerge. This shift – cognocracy – is the subject of my current publishing work.
Digital Strategy
Strategy is being redefined right now. AI is changing markets, brand perception and business models at the same time – and companies that understand all three shifts navigate differently than those that treat individual effects in isolation. I work at this intersection and build the tools needed for strategic depth.
Strategy in the AI age
The shifts that AI triggers in markets, brand perception and business models can be read strategically – and translated into options before they become constraints.
Custom analysis systems
Where standard tools fall short, I build my own. RankAnalyst and the swarm analysis built on it surface market mechanics that conventional tools miss.
Operational substance
Strategic work only takes hold if it carries operationally. From over twenty years of practice – perception research, content architecture, technical discoverability – I know the levers against which strategy must be measured.
Forensic analysis
Anyone who reads digital behavioral traces methodically over years often sees more than the obvious data shows. This experience — from investigative practice and from collaboration with authorities and media — is the foundation on which I build AI systems and develop strategies today.
Behavioral analysis of digital traces
Evaluation of weak signatures at digital touchpoints. From patterns, anomalies and contextual shifts, robust hypotheses about actors and trajectories emerge — the method works as well in law enforcement as in the analysis of political campaigns or market movements.
Methodological triangulation
The statements of individual data sources are rarely sufficient. Methodological strength emerges from the connection — when different signals converge or contradict each other on a shared timeline. spectralQ.ai operationalizes this principle in a multi-agent system.
Investigative practice
Collaboration with German law enforcement agencies (including LKA Hessen) and advisory work on investigative ZDF formats (Terra X History, ZDFzoom). The methods developed there now feed back into engineering and strategy.