Unipr AI Agents

THE PROBLEM:

You're staring at 25 projects requesting $450M when you have $300M. Your team has 520 FTEs but projects demand 840. Every program head insists their project is critical. Leadership wants maximum risk-adjusted returns while the CFO demands cuts. Portfolio meetings become political battles where the most persuasive advocates win, not necessarily the best projects. You know there's an optimal combination that maximizes value, but you're trapped in spreadsheet paralysis. You need algorithms, not arguments.

WHAT OPTIMIZER DELIVERS:

• Multi-Scenario Portfolio Optimization – Generates 5+ optimal portfolio configurations using Modern Portfolio Theory to maximize risk-adjusted returns within your constraints.
• Resource Constraint Modeling – Incorporates budget limits, FTE capacity, and strategic priorities to identify feasible portfolios that respect real-world boundaries.
• Correlation and Diversification Analysis – Accounts for how projects interact—avoiding concentrated risk while maximizing diversification benefits.
• Stress Testing – Evaluates portfolio resilience across 7 disruption scenarios (budget cuts, resource constraints, market shifts) to assess robustness.

THE OUTCOME:

Portfolio decisions backed by optimization algorithms, not political horse-trading. Your leadership team evaluates 5 scientifically optimal scenarios—each maximizing different objectives (max NPV, max diversification, balanced risk-return). You see which projects make the cut under different constraints and why. Resource allocation becomes defensible with data—"here's why this combination maximizes value." Political pressure gives way to optimization intelligence.

WHO OPTIMIZER HELPS:

Portfolio VPs managing resource-constrained portfolios who need optimization intelligence to maximize risk-adjusted value—not political compromise.