Modules and PoCs

Reusable operating modules for governable work.

Practical proof-of-concept structures for making intake, tradeoffs, capacity pressure, weak evidence, authorization, readiness, controls, and follow-through reviewable.

Browse modules Back to methods

For practitioners

Operating routines leaders can inspect.

The modules make operating friction visible: demand gets owned, tradeoffs become explicit, AI use cases get evidence, decisions leave a record, and value follow-through stays accountable.

What they are

Use them as inspectable proof-of-concept examples and starting points for recurring governance work.

1 Role Fit 2 Cases 3 Walkthroughs 3 Methods: Modules 4 Insights Evidence and boundaries

Workflow chain

The modules follow an operating lifecycle.

01 Intake Capture demand, ownership, and signal quality. PPMO Formation Kit · Signal Quality Auditor · Intake Readiness Triage 02 Prioritize Compare tradeoffs, capacity, sequence, and decisions. Prioritization Scoring · Capacity Sequencing · Review Pack Builder 03 Authorize Turn intent into investment logic and chartered work. Business Case System · Project Charter Initiation 04 Validate Check readiness, signoffs, exposure, and evidence gaps. Release Readiness & UAT Pack · Controls Exposure Toolkit 05 Realize Track benefits, confidence, outcomes, and follow-through. Value Realization Ledger · Governance Operations Log
AI workflow governance — review layer across every stage Opportunity Intelligence Review · Artifact Lifecycle Governance · Operating Patterns

When an idea, artifact, or decision path depends on AI-assisted work, the governance layer adds business-value review, reliance classification, and human approval boundaries at whichever stage the work sits.

Module library

Browse by operating problem.

Intake and signal quality

Make the work visible, named, owned, and routed before it becomes false work-in-progress.

Foundation GitHub source

PPMO Formation Kit

Set up the intake lane, governance rhythm, and portfolio operating model.

Defines the operating frame the other portfolio modules can plug into.

Signal audit GitHub source

Portfolio Signal Quality Auditor

Find stale status, weak ownership, unclear readiness, and misleading portfolio signal.

Improves the quality of the inputs before scoring or executive review.

Demand triage GitHub source

Portfolio Intake Readiness Triage System

Route demand toward readiness before it drifts into unmanaged execution.

Separates ready work from ideas that still need ownership, facts, or scope.

Portfolio decisions and sequencing

Show leaders what is worth doing, what can actually be staffed, what gets delayed if they say yes, and what decision record should survive the meeting.

Priority logic GitHub source

Portfolio Prioritization Scoring Agent

Make priority tradeoffs explicit so the loudest request, pet project, or invisible override does not quietly win.

Shows why work ranks, where evidence is weak, and when capacity sequencing needs to take over.

Sequencing GitHub source

Portfolio Capacity Sequencing Planner

Sequence constrained capacity and make dependency pressure visible.

Shows what can happen now, later, or only after dependencies clear.

Decision forum GitHub source

Executive Portfolio Review Pack Builder

Turn scattered updates into a decision agenda: start, stop, sequence, fund, defer, escalate, or carry forward.

Packages executive choices, capacity pressure, sponsor asks, weak signals, and follow-up ownership.

AI workflow and artifact governance

Tame the avalanche of AI requests before pilots become commitments. This lane reviews use cases, proof burden, ownership, reliance risk, audit-ready evidence, and human approval boundaries; it does not claim model, platform, or ML ownership. For an applied example of the same pattern, see the Resume Evidence Engine.

Opportunity review GitHub source

AI Opportunity Intelligence Review System

Triage AI use-case requests by workflow value, feasibility, proof burden, duplicate overlap, ownership, and controls.

Shows which AI ideas deserve prototype, build, buy, wait, process-first, or stop routes.

Artifact control GitHub source

AI Artifact Lifecycle Governance System

Create an AI governance evidence and lifecycle registry for tools, agents, dashboards, scripts, decisions, and reliance boundaries.

Shows what exists, who owns it, who relies on it, and what evidence is needed to promote, hold, demote, or retire it.

Pattern library GitHub source

Operating Patterns

Apply generalized governance patterns and source artifacts across operating scenarios.

Provides reusable governance patterns that sit underneath several modules.

Authorization and initiation

Stop weak ideas from becoming authorized work. Challenge the investment logic first, then turn approved intent into clear scope, ownership, governance, and delivery handoff.

Investment case GitHub source

Business Case System

Challenge problem framing, options, Do Nothing, benefits, assumptions, risks, and value evidence before a sponsor decides.

Shows whether a case is ready for sponsor review, finance review, chartering, scoring, or more evidence.

Initiation GitHub source

Project Charter Initiation Agent

Translate approved intent into authorized scope, decision rights, success measures, risks, dependencies, and change control.

Frames authorization without inventing business-case logic or pretending the project is approved by the module.

Delivery readiness, controls, and outcomes

Track build and test evidence, blockers, evidence gaps, controls, signoffs, benefits, confidence, and follow-through.

Operating log GitHub source

PMO Governance Operations Log

Preserve decision memory: rationale, owners, evidence, exceptions, escalations, carry-forward items, and follow-up.

Turns operating noise into accountability between review forums.

Readiness gate GitHub source

Release Readiness UAT Governance Pack

Prove delivery and UAT readiness with evidence, signoffs, launch criteria, and blockers.

Focuses the delivery checkpoint on proof, ownership, and launch criteria.

Control exposure GitHub source

Controls Exposure Governance Toolkit

Review control exposure, exceptions, evidence gaps, risk posture, and governance cadence.

Looks at exception risk and evidence gaps after work is moving.

Benefits follow-up GitHub source

Value Realization Governance Ledger

Track value claims, realization confidence, benefits, evidence quality, and follow-through.

Closes the loop on whether approved value actually became observable.

Next sections

Use modules when you want the working patterns.

For leadership review, the modules show reusable workflow structures. The walkthroughs and experience proof show where those patterns came from and how they operate in context.

Continue the evaluation

Walkthroughs Cases Evidence Executive portfolio