Decision Intelligence

I help founders, institutions, and public systems make better decisions before failure becomes expensive

Strategic work for organizations that face complex decisions, distributed stakeholders, weak accountability, AI governance pressure, execution drift, or institutional uncertainty.

Work With MeBook Diagnostic
Commercial pathwaysWhat the site is built to convert
Diagnostic

Decision Systems Diagnostic

Maps where decisions, signals, accountability, and escalation are breaking down.

Advisory

Strategic Advisory

Ongoing counsel for founders, institutions, and public-interest teams building under constraint.

Speaking

Keynotes and Workshops

Thesis-driven sessions on AI governance, institutional failure, public reasoning, and founder execution.

Pilots

Pilot and Consortium Scoping

Support for funded pilots, EU concepts, partner logic, and governance-ready project narratives.

Research

Research Infrastructure

Advisory for research ecosystems, doctoral schools, innovation programs, and knowledge institutions.

Founders

Founder Execution Systems

Work on financial architecture, decision cadence, accountability, and execution control.

Buying triggersWhy this matters now
01
Decisions are becoming more expensive
Many teams do not lack information. They lack the structure to interpret information, allocate responsibility, and act early enough.
02
AI creates governance pressure
Organizations adopting AI need oversight, accountability, contestability, and human decision rights before automation becomes institutional risk.
03
Funding and pilots need stronger logic
Grant, procurement, and consortium opportunities require a clear problem frame, credible governance model, and practical implementation pathway.
04
Founders need operating discipline
Execution failure often begins before product failure. The warning signs are unclear ownership, weak signal interpretation, and unpriced decisions.
Best-fit audiencesWho should pay attention
Institutions

Universities and research ecosystems

Teams coordinating research capability, commercialization, responsible AI, public impact, and interdisciplinary collaboration.

Public sector

Municipalities and public institutions

Teams exploring AI governance, civic reasoning, stakeholder participation, and responsible innovation pilots.

Ecosystems

Innovation hubs and accelerators

Programs that need stronger portfolio oversight, founder accountability, milestone reporting, and intervention logic.

Founders

Founders and leadership teams

Teams facing execution drift, runway pressure, unclear ownership, or decision overload.

Consortia

EU and Nordic project teams

Teams preparing trustworthy AI, public-interest technology, democratic resilience, or research infrastructure proposals.

Events

Conferences and policy communities

Organizers seeking rigorous analysis on decision failure, AI governance, welfare systems, and institutional design.

Next step

Start with the problem that keeps repeating.

If the same failure pattern keeps returning under different names, the useful question is not only what happened. It is what decision system keeps producing it.

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