Decision Intelligence
Designing structured systems that transform data, simulation, expert reasoning and governance logic into accountable institutional decisions.
Decision Intelligence Scientist
& Governance-First AI Architect
Researching and architecting explainable, replayable and human-final decision systems for finance, risk, credit intelligence and institutional governance.
His research identity is connected across academic and open research platforms, including DOI-indexed Zenodo records, Google Scholar, SSRN and ORCID.
Persistent DOI record and Zenodo-based open scientific reference point.
Indexed academic profile, research visibility and citation discovery.
Working papers and pre-publication records in governance-first AI systems.
Researcher identification and connected academic record.
His research agenda brings together decision intelligence, AI governance, financial risk and institutional system design.
Designing structured systems that transform data, simulation, expert reasoning and governance logic into accountable institutional decisions.
Developing governance-first AI frameworks focused on explainability, auditability, human-final authority and institutional accountability.
Building credit risk intelligence models for corporate underwriting, financial stress testing, pre-lending simulation and bank-grade decision support.
Using Monte Carlo simulation, scenario analysis and stress testing to evaluate uncertainty, liquidity, capital allocation and strategic risk.
Exploring governance-aware multi-agent systems for complex institutional environments where decisions must remain explainable and replayable.
Connecting operational, financial, strategic and governance risks into integrated intelligence systems for executive decision-making.
Yasin Kalafatoğlu is a decision intelligence scientist, governance-first AI architect and executive finance and risk strategist.
His multidisciplinary background spans engineering, international trade, aviation operations, shipbuilding finance, corporate finance, credit risk systems and artificial intelligence governance.
As the founder of AICOS® and architect of AXION FinTech AI, he focuses on building explainable, replayable and audit-ready decision systems for institutional environments where trust, accountability and human-final authority are essential.
AICOS® is a governance-first decision intelligence infrastructure designed for institutional environments where AI-supported decisions must remain explainable, replayable, auditable and accountable.
It preserves human-final authority while making AI-supported decisions explainable, replayable and institutionally accountable.
AXION FinTech AI is a credit risk intelligence engine focused on corporate underwriting, pre-lending simulation, scoring logic and bank-grade decision support.
It combines financial modeling, Monte Carlo simulation, stress testing and governance-aware decision logic to support more transparent and accountable credit evaluation.
A multidisciplinary progression from engineering and industrial finance to aviation operations, institutional risk strategy and governance-first decision intelligence.
Istanbul Technical University — Shipbuilding Engineering.
SPP Shipbuilding Co. Ltd. — Project CFO, budgeting and large-scale industrial project coordination.
Grant Thornton — financial reporting, audit methodology and corporate analysis.
Turkish Airlines — senior regional management including Frankfurt operations.
Avenue Foreign Trade LLC — CEO / CFO, liquidity, logistics and cross-border finance operations.
Kale Finans Yatırım A.Ş. — strategic financial planning, investment evaluation and capital allocation.
AXION FinTech AI — founder and architect of corporate underwriting and simulation logic systems.
AICOS® — founder and decision intelligence architect for replayable, audit-ready institutional systems.
Research contributions focused on governance-first AI, decision authority, risk-controlled intelligent systems and institutional decision infrastructure.
Working paper positioned around risk-controlled AI decision systems and the AICOS governance-first approach.
Research record on AI governance, model risk management and financial decision environments.
Formalizes decision infrastructure as a governance-first architecture for accountable intelligent systems.
Research record connecting decision authority, auditability and human-final governance in AI-supported decisions.
Persistent DOI record used as an open scientific reference point for research outputs.
Open to executive, advisory and strategic leadership opportunities in decision intelligence, AI governance, credit risk systems, financial strategy and institutional AI transformation.
Governance-first operating models for accountable, auditable and human-final AI systems.
Corporate underwriting logic, simulation-driven stress testing and bank-grade decision support.
Replayable, explainable and institutionally reviewable decision systems for high-stakes environments.
Scenario analysis, Monte Carlo logic and capital allocation support for executive decisions.
The future of institutional intelligence depends not only on more powerful AI, but on systems that remain explainable, accountable, replayable and worthy of trust.
Start a ConversationFor executive leadership, strategic advisory, research collaboration and institutional AI governance inquiries.
Use the official email address for executive, advisory, research and institutional AI governance inquiries.
dr.yasin@dryasinkalafatoglu.com Download Full CV (PDF) LinkedIn ORCID Google Scholar