← Utham KumarEngineering Intelligence Lab / DI-002
Enterprise reference implementation

Dependency Intelligence

Seeing the delivery system—and changing the outcome.

Role demonstratedDecision-system architectReleasev0.1.0Data policy100% synthetic
Dependency Intelligence critical-path visualization

Dependency lists show the work. They rarely show the system.

Cross-team commitments are spread across backlogs, spreadsheets, design notes, and recurring meetings. Leaders can see red items, but not always the propagation path, provider constraint, evidence quality, or intervention that will protect the outcome.

THE OPERATING SYSTEM
01

Define commitments

Provider, consumer, acceptance evidence, owner, due date, and downstream outcomes make each dependency actionable.

02

Explain exposure

Seven visible signals and two hard governance rules make prioritization reproducible rather than subjective.

03

Trace propagation

Critical-path and provider-concentration views reveal how one handoff can constrain a portfolio.

04

Name the move

Every exposed commitment is paired with a recommended action, accountable owner, and verification date.

Illustrative enterprise evidence model: Jira planning and issue links · service catalogs · CI/CD evidence · Confluence decision records · test-management signals · cloud and observability platforms. The public demo uses synthetic data and no employer connections.

This is dependency governance designed as a decision product.

The application demonstrates how a principal TPM or engineering delivery leader moves from a list of cross-team asks to a repeatable operating cadence: make the commitment explicit, reveal systemic exposure, protect constrained capacity, and verify that intervention changed the signal.