EVO & Competitive Engineering for Value Delivery in the Jungle

Executive Summary

This report and workshop outline introduces a novel, integrated framework that combines the Target Model ofDiscretion (TMD), Gilb’s Planguage, the EVO (Evolutionary Project Management) method, and the VALDEL (Value Delivery) model to enhance strategic decision-making, accountability, and iterative value creation in AI-driven and digitally transforming environments.

The framework is designed to:

Make discretion measurable and improvable

Align discretionary acts with value delivery outcomes

Enable iterative governance through transparent feedback loops

Support AI-human decision co-design with traceable, ethical metrics Using Planguage, key discretionary behaviors are quantified at every layer of the TMD (systemic, organizational, professional, situational, personal), making value alignment and performance review possible at both individual and enterprise levels.

Three cross-sector case studies—FinTech, municipal government, and youth services nonprofit—demonstrate real-world application.

A complete VALDEL dashboard and EVO-aligned checklist guide implementation.

This approach transforms discretion from a hidden, often ungoverned phenomenon into a lever for trust, transparency, growth, and success.