01
Book
The D.C.R.A.D.O. Principle
From Prompts to Structured Intelligence
A structured approach to moving beyond AI prompts toward disciplined decision systems built around context, evidence, analysis, judgment and oversight.
Insights
Ideas for better decisions.
Research, writing and practical intelligence.
DCRADO Insights brings together ideas, research and practical resources for making better decisions with artificial intelligence.
Explore books, articles, research, podcasts, videos and decision tools focused on AI, judgment, governance, responsibility and decision architecture.
Explore the Library
Different formats.
One body of thinking.
DCRADO Insights develops ideas across multiple formats—from long-form research and books to practical tools, articles and conversations.
Each format explores the same central question from a different angle: how can artificial intelligence strengthen decision quality without weakening judgment, authority or responsibility?
01
Books
Long-form thinking on artificial intelligence, decision architecture, governance and responsibility.
02
Articles
Timely analysis, commentary and perspectives on AI, markets, regulation and consequential decisions.
03
Research
Structured papers and deeper investigations into responsible AI, decision systems and governance.
04
Podcasts
Conversations and episodes exploring responsibility, judgment, AI influence and decision ownership.
05
Videos
Visual explanations, talks and practical discussions on the DCRADO approach and related ideas.
06
Tools & Templates
Practical decision structures, frameworks and templates for applying disciplined AI-assisted judgment.
Featured Insights
Ideas worth
exploring further.
Selected work exploring how artificial intelligence changes analysis, judgment, governance and responsibility.
These featured insights connect the DCRADO framework to the practical questions facing decision-makers, organizations and professionals.
02
Article
AI is not your edge — Your decision architecture is
AI, judgment and decision architecture
Why competitive advantage in an AI-enabled environment depends less on access to artificial intelligence and more on the structure through which evidence, judgment and responsibility become a decision.
03
Podcast
Who Owns the Decision?
The Decision No One Owned Podcast
A discussion of what happens when artificial intelligence influences a consequential decision but responsibility becomes difficult to locate.
Different formats allow the same ideas to be tested, explained and applied from different perspectives.
Selected Articles
Ideas across AI,
finance, markets and responsibility.
Selected articles examining how artificial intelligence is changing markets, financial institutions, governance and the decisions made within them.
Published on FXStreet, these articles connect developments in finance and technology with broader questions of judgment, responsibility and decision architecture.
AI Governance
How the EU AI Act redefines AI from trading edge to systemic force
Nikolaos Akkizidis · FXStreet
EU AI Act
01
AI & Markets
AI is redefining market prediction from forecasting to understanding
Nikolaos Akkizidis · FXStreet
Market Intelligence
02
Responsible AI
Why the future of the financial industry depends on responsible AI
Nikolaos Akkizidis · FXStreet
Finance
03
Responsible AI
Why responsible AI will become finance’s strongest competitive advantage
Nikolaos Akkizidis · FXStreet
Strategy
04
AI & Monetary Policy
AI becomes the new central banker
Nikolaos Akkizidis · FXStreet
Central Banks
05
AI & Markets
AI as the new global asymmetry shaping markets
Nikolaos Akkizidis · FXStreet
Global Markets
06
Agentic AI
How agentic AI is shaping the next era of global finance
Nikolaos Akkizidis · FXStreet
Future of Finance
07
AI & Society
Can we understand the world AI builds for us
Nikolaos Akkizidis · FXStreet
Responsibility
08
A broader archive of market, AI and finance commentary is available through FXStreet.
View all articles on FXStreet →Books
A growing library.
One decision philosophy.
Books exploring artificial intelligence through decision architecture, responsibility, finance, governance and regulatory practice.
From the core DCRADO framework to financial applications, responsible AI and narrative exploration, each book examines how intelligence becomes consequential when it enters a decision.
Core Framework
The D.C.R.A.D.O. Principle
From prompts to structured intelligence and disciplined AI-driven decision systems.
Responsibility
When AI Decides, Who Is Responsible?
From Human-in-the-Loop to Structure-in-the-Loop and visible decision ownership.
Finance
The AI Decision Architecture in Finance
Applying the DCRADO Principle to structured, controlled and scalable financial decisions.
Responsible AI
Artificial Intelligence Has No Conscience — And That Matters
Rethinking finance, governance and responsibility in the age of artificial intelligence.
Regulation
Applying the EU AI Act in Financial Institutions
Moving from regulatory compliance obligations toward responsible intelligence.
Compliance
Why and How to Create AI Prompts for Regulatory Compliance
Governing AI interaction and prompt design within financial institutions.
Finance & Strategy
The Manifest of AI in Modern Finance
Understanding AI’s impact on markets, risk, regulation and the future of financial systems.
Novel
The Decision No One Owned
A novel of artificial intelligence, power and the courage to be responsible.
Different books. Different applications. The same underlying question: how should consequential decisions be structured when artificial intelligence becomes part of them?
Listen
Ideas in conversation.
Responsibility in practice.
The Decision No One Owned Podcast explores what happens when artificial intelligence influences consequential decisions without inheriting responsibility for them.
Each episode examines judgment, authority, accountability and the structures required to keep human responsibility visible in AI-enabled decision-making.
Podcast
The Decision No One Owned
A podcast about artificial intelligence, power, judgment and the question that cannot be delegated: who owns the decision?
Episode 01
Who Owns the Decision?
When artificial intelligence influences the outcome, where does responsibility actually sit?
Episode 02
The Human-in-the-Loop Illusion
Human oversight can appear present while becoming little more than a final approval of an AI-shaped decision.
Artificial intelligence may contribute to the decision. Responsibility for the outcome still requires a human owner.