Research Library

Research Library

Foundational work behind the Program Intelligence discipline

The Research Library contains the foundational papers, conceptual frameworks, and analytical models behind the Program Intelligence discipline. While the Program Intelligence section explains the discipline itself, the Research Library documents the thinking that led to its creation.

Conceptual Framework
The Program Intelligence Model
Engineering Execution
Jira · Git · CI/CD · DevOps
Execution Evidence
Issue records · Commit streams · Pipeline data
Execution Signals
ESI · RAG · Delivery Momentum
Executive Insight
Decision support · Program visibility · Risk awareness

These publications explore the structural challenges of large technology programs, the limits of existing governance frameworks, and the analytical models used to observe execution systems.

The library is organized as a collection of research publications and conceptual papers developed during the creation of the Program Intelligence framework.

For the shorter, plain-language essays that draw on this work, see Insights.

Krayu Research Publications

Bridging the Execution Gap

Whitepaper · Krayu Research · 2026

Large technology programs generate enormous volumes of engineering activity, yet leadership often struggles to understand what this activity means for program execution. This paper examines the structural disconnect between engineering telemetry and executive program visibility, and introduces the analytical foundation for Program Intelligence.

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Program Intelligence · A New Discipline

Category Paper · Krayu Research · 2026

Engineering observability focuses on system performance. Business intelligence focuses on commercial outcomes. This paper argues that neither discipline addresses the interpretation of program execution for strategic decision-making, and defines Program Intelligence as the analytical category that fills this gap.

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Defensibility Model

Research Analysis · Krayu Research · 2026

Analytical platforms are often replicated once a category is validated. This analysis examines the defensibility properties of Program Intelligence, including evidence architecture, signal science compounding, and the execution telemetry moat that strengthens as more program environments are observed.

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