Portfolio Intelligence

Overview

Portfolio Intelligence combines multiple planning models into one deterministic recommendation flow for strategic roadmap decisions.

It composes:

• Prediction Calibration (bias correction)
• Cross Impact (synergy/cannibalization)
• Strategic Alignment (theme fit)
• Dependency Sequencing (execution order)

What You Get

• A dependency-aware execution schedule
• Adjusted per-bet impacts after calibration and interaction effects
• Strategic alignment signals for each selected bet
• Objective-level planning metrics and diagnostics

Internal vs External Use

• Internal AI workflows should call the statistics models directly through internal tools.
• External integrations can use the POST /api/v1/portfolio-intelligence endpoint.

Notes

• This MVP intentionally excludes key-metrics-driver-model in the composition pipeline.
• Legacy bet-impact and cost-of-delay enrichments are optional inputs to improve baseline scoring when available.