DcisionAI Research

Research

For forty years, optimization lived in PhD silos, too expensive to model, too brittle to deploy, too opaque to trust. Generative AI gave every team a writer. It did not give them a decider.

Our research is an evolving argument: that the next infrastructure layer of the enterprise is not another dashboard or another chatbot. It is a decision layer that runs one loop — CORE (Context, Options, Resolve, Encode) — solver-grounded, constraint-aware, and auditable by default. One engine, reached through the platform, MCP, or agent-to-agent.

The argument in brief, read the thesis →

PapersFormal · technical

Working Paper2026

Infeasibility as Diagnostic: IIS Decomposition for Auditing Business Rules in Portfolio Optimization

DcisionAI Research

Infeasibility is conventionally treated as a solver failure. We argue the opposite: an infeasible model is the most valuable diagnostic an optimization system can produce. Using Irreducible Infeasible Subsystem (IIS) decomposition combined with shadow-price analysis, we show how conflict detection surfaces business-rule contradictions, ESG mandates against minimum-yield floors, sector caps against liquidity requirements, that humans cannot reliably enumerate. We present a case study on a $240M multi-asset portfolio where IIS resolution exposed a $2.1M latent tradeoff and triggered a documented, auditable human override.

OptimizationConstraint ProgrammingPortfolio Management

PublicationsEssays and articles

The Error Message That Changed How I Think About Decisions

Why an infeasibility signal, not an answer, is the most valuable output a decision system can give you.

InfeasibilityLinkedIn →

Demystifying Mathematical Optimization

What optimization actually is, why it has stayed locked in PhD silos for forty years, and what changes now.

FoundationsMedium →

III

Mathematical Optimization in the Age of Agentic AI

Empowering and democratizing optimization. Why LLMs without a solver are confident guessers, and why solvers without LLMs are unreachable.

Agentic AIMedium →

Optimizing for Success: How Mathematical Optimization Supercharges E-commerce

Pricing, inventory, fulfillment, promotions. The places where guessing leaves the most money on the table.

AppliedMedium →

Beyond the Spreadsheet: The Rise of Decision Infrastructure

Spreadsheets gave every analyst a calculator. Decision infrastructure gives every team a solver, a context graph, and an optimality gap you can stand behind.

InfrastructureMedium →

The Headless Enterprise

Decisions decoupled from the apps that surface them. Why the next architectural layer is a decision API, not another dashboard.

ArchitectureMedium →

VII

The Institutional Ceiling

Human working memory tops out at about four moving parts, and hasn't moved in seventy years. Why that cognitive limit, not strategy or data, is the real ceiling on the decisions that matter, and what finally lifts it.

CognitionMedium →

The argument is unfinished by design. Each new deployment, each surfaced infeasibility, each documented override sharpens the argument. New publications land here.