Decision Rights Matrix

LPM layer: Decision Architecture Primary use: Define who has the authority to make decisions, who must be consulted, who must approve, what evidence is required, and when escalation is triggered. Website use: Downloadable template, executive guide, onboarding worksheet, JSON object for Lapemo ingestion, and future guided skill. Version: 1.0 Owner: LPM / Lapemo Last reviewed: 2026-06-23

A Decision Rights Matrix makes the hidden decision system visible. It prevents AI from accelerating vague authority, duplicated approvals, shadow governance, and unclear accountability. The matrix is not a meeting artifact. It is an operating object that can be reused, scored, updated, and connected to platform workflows.

This object has four reusable layers:

1. Human guide - plain-language instructions for executives, transformation leaders, product leaders, risk, and operators.
2. Template artifact - a downloadable matrix companies can complete before Lapemo onboarding.
3. Machine-readable schema - fields, scoring logic, validation rules, mappings, and version metadata.
4. Guided skill - an AI-assisted workflow that classifies decisions, drafts the matrix, identifies gaps, and recommends escalation rules.

AI does not remove decision rights. It exposes them. When decision rights are unclear, AI creates faster confusion: more recommendations, more automated work, more exceptions, and more risk without accountable authority. The Decision Rights Matrix defines where judgment lives before AI amplifies execution.

Score each decision area from 0 to 4.

Decision readiness score: average of clarity, authority, evidence, latency, escalation, and AI boundary scores. AI scaling risk: high when decision rights are below 3 and AI involvement is AI-recommended or higher.

A 500+ person company usually has speed, strong relationships, and founder or executive pattern recognition. The risk is that decision authority is still informal. AI will make this worse if employees and agents act on recommendations without clear decision ownership.

500+ design principle: keep the matrix lightweight. The goal is to remove founder bottlenecks without creating bureaucracy.

• Start with the top 20 recurring decisions that slow execution.
• Assign one accountable owner for each decision area.
• Set clear escalation triggers instead of adding standing committees.
• Store decision rationale in one accessible system, usually Confluence, Notion, SharePoint, Jira, or the operating platform.
• Review monthly until decision latency stabilizes.

A 5,000+ employee company has functional maturity, but decisions often break across departments, portfolios, systems, and governance paths. The problem is rarely absence of process. It is unclear authority across functions.

5,000+ design principle: define the minimum viable governance path. The matrix should reduce coordination drag, not create another approval maze.

• Create decision tiers by risk and impact.
• Separate enterprise standards from local execution authority.
• Connect each decision area to a system of record, not a meeting series.
• Add review rules for AI, data, privacy, security, and customer-impacting decisions.
• Track decision latency, reversals, escalations, and unresolved ownership gaps.

A 10,000+ employee company needs federated decision rights. Centralized governance alone becomes too slow. Local autonomy alone becomes too risky. The goal is a control layer that defines enterprise standards, local authority, and escalation rules by risk tier.

10,000+ design principle: centralize standards and decentralize execution within thresholds. The matrix must operate like a control plane, not a policy binder.

• Define global decision standards by domain.
• Delegate authority by business unit, region, product line, and risk tier.
• Require machine-readable decision records for high-impact decisions.
• Connect decision rights to control evidence, audit trails, and AI operating boundaries.
• Review decision rights after reorganizations, M&A, platform migrations, regulatory changes, and AI workflow launches.

1. No AI workflow should be approved without a named business decision owner.
2. No AI recommendation should be used without evidence requirements and escalation rules.
3. No agentic workflow should cross systems unless platform ownership and data ownership are clear.
4. No high-impact decision should be fully automated without governance, monitoring, and human override.
5. Every AI-enabled decision path must have a review cadence and a system of record.

Update the matrix when any of these signals appear:

• Reorganization or new operating model.
• New executive, function owner, product owner, or platform owner.
• Major AI workflow, agent, or automation introduced.
• New system of record, data catalog, workflow platform, or governance platform.
• Repeated escalations or unresolved cross-functional conflicts.
• Policy, regulatory, security, or audit requirement changes.
• M&A integration, divestiture, or major vendor change.

On the LPM website, this should appear as a reusable asset, not a simple static download.

Recommended download block:

The future Lapemo skill should perform five actions:

1. Classify decision areas by domain, risk, AI involvement, and company profile.
2. Draft the matrix from interview notes, org data, system data, policies, and existing artifacts.
3. Score clarity, authority, evidence, latency, escalation, and AI boundary readiness.
4. Validate missing owners, vague approvers, stale reviews, and conflicting authority paths.
5. Render the object into DOCX, PDF, CSV, JSON, website copy, or in-app module.

Do not silently auto-update the published matrix. Use governed updates:

• Systems generate change signals.
• AI proposes updates with rationale and evidence.
• Human owner approves or rejects the update.
• New version is published with date, owner, rationale, and change log.

This protects the artifact from becoming another stale document while keeping accountability intact.

A Decision Rights Matrix is not complete unless it passes these checks:

• AI Use Case Intake Map
• Operating Model Dependency Map
• Governance Escalation Path
• System of Record Control Map
• Role and Accountability Ledger