{ "schemaVersion": "1.0.0", "releaseVersion": "1.0.0", "releasedAt": "2026-08-04", "publisher": { "name": "Lapemo Systems LLC", "brand": "Large People Model", "url": "https://largepeoplemodel.com" }, "canonicalUrl": "https://largepeoplemodel.com/use-cases.json", "canon": { "package": "@lpm/canon", "version": "0.5.0", "sourceRepository": "https://github.com/LayerZero69/lpm-canon.git", "sourceCommit": "d4d36e2fe1d1b0cebf06bbcebfff5806299e21e2" }, "objects": [ { "id": "lpm:use-case:ai-adoption-readiness", "type": "use-case", "slug": "ai-adoption-readiness", "title": "AI Adoption Readiness", "canonicalUrl": "https://largepeoplemodel.com/use-cases/ai-adoption-readiness", "version": "1.0.0", "status": "published", "source": "large-people-model-website", "publisher": "Lapemo Systems LLC", "lastUpdated": "2026-08-04", "relationships": [ { "type": "applies_to", "targetId": "lpm:layer:identity-and-incentives" }, { "type": "applies_to", "targetId": "lpm:layer:decision-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:information-ecology" }, { "type": "applies_to", "targetId": "lpm:layer:platform-structure" }, { "type": "applies_to", "targetId": "lpm:layer:governance-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:ai-amplification" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:decision-rights-matrix" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:source-of-truth-map" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:ai-governance-checklist" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:human-in-the-loop-model" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:agent-accountability-checklist" } ], "content": { "audience": [ "cio", "cto", "coo", "ai-transformation-leader" ], "audienceLabel": "CIO, CTO, COO, AI transformation leader", "summary": "Diagnose whether the operating model has enough ownership, decision clarity, information trust, governance, and platform structure to safely scale AI.", "problem": { "heading": "AI adoption fails when the operating model underneath it is unclear.", "body": [ "Most enterprises do not fail at AI because they lack interest, pilots, or tools. They fail because the work AI is supposed to improve is not owned, governed, measured, or connected clearly enough.", "AI pilots can look promising in isolation, but scaling them across the enterprise exposes gaps in ownership, decision rights, information quality, platform boundaries, and risk controls." ], "bullets": [ "AI use cases launch without accountable business owners.", "AI recommendations outpace decision governance.", "Copilots summarize fragmented information.", "Agents automate workflows without clear operating boundaries.", "Governance is added after adoption has already spread." ] }, "whyTraditionalApproachesMissIt": { "heading": "Traditional AI readiness focuses too narrowly on technology.", "body": [ "Many readiness efforts evaluate data, tooling, model access, security, and technical architecture. Those matter, but they do not fully answer whether the enterprise can absorb AI into how work actually gets done." ], "bullets": [ "Technical readiness does not prove ownership readiness.", "Data availability does not prove information trust.", "Governance policies do not prove workflow-level control.", "AI pilots do not prove enterprise adoption capacity." ] }, "lpmDiagnosis": { "heading": "LPM diagnoses AI readiness across all seven layers.", "body": [ "The Large People Model evaluates whether the foundation layers are mature enough for AI to amplify the organization safely. AI readiness is not treated as a standalone technology question. It is treated as an operating model question." ], "bullets": [ "Who owns each AI-supported outcome?", "Which decisions can AI support, recommend, or automate?", "What information can AI safely use?", "Which platforms will AI touch?", "What governance must exist before scale?", "Where could AI amplify ambiguity, noise, or risk?" ] }, "metricsToInspect": [ { "name": "AI adoption readiness score", "whyItMatters": "Shows whether the foundation layers can support AI at scale.", "href": "/metrics/ai-adoption-readiness-score" }, { "name": "AI use case owner coverage", "whyItMatters": "Reveals whether every AI use case has a named accountable owner.", "href": "/metrics/ai-use-case-owner-coverage" }, { "name": "Ownership clarity score", "whyItMatters": "Identifies accountability gaps before AI amplifies work.", "href": "/metrics/ownership-clarity-score" }, { "name": "Human-in-the-loop clarity", "whyItMatters": "Shows whether human oversight is explicit for AI-supported work.", "href": "/metrics/human-in-the-loop-clarity" }, { "name": "Information trust score", "whyItMatters": "Tests whether AI is using reliable, governed information.", "href": "/metrics/information-trust-score" }, { "name": "Control coverage", "whyItMatters": "Checks whether risk controls exist before adoption spreads.", "href": "/metrics/control-coverage" }, { "name": "Agent action auditability", "whyItMatters": "Shows whether automated actions can be traced and reviewed.", "href": "/metrics/agent-action-auditability" }, { "name": "AI amplification risk", "whyItMatters": "Surfaces where AI may scale ambiguity, noise, or governance gaps.", "href": "/metrics/ai-amplification-risk" } ], "recommendedArtifacts": [ { "name": "AI readiness assessment", "purpose": "Score readiness across the layers before scaling adoption." }, { "name": "AI use case owner register", "purpose": "Assign accountable owners to AI outcomes, risks, and workflows." }, { "name": "Decision rights matrix", "purpose": "Define what AI can support, recommend, or automate.", "href": "/library/knowledge-objects/decision-rights-matrix" }, { "name": "Source-of-truth map", "purpose": "Identify information sources safe enough for AI use.", "href": "/library/knowledge-objects/source-of-truth-map" }, { "name": "AI governance checklist", "purpose": "Clarify controls, reviews, escalation, and risk boundaries.", "href": "/library/knowledge-objects/ai-governance-checklist" }, { "name": "Human-in-the-loop model", "purpose": "Document where human judgment remains required.", "href": "/library/knowledge-objects/human-in-the-loop-model" }, { "name": "Agent accountability checklist", "purpose": "Define ownership and auditability for agentic work.", "href": "/library/knowledge-objects/agent-accountability-checklist" } ], "whatGoodLooksLike": { "heading": "AI is scaled into an operating model that can govern it.", "body": [ "Every AI use case has a named accountable owner, clear decision boundaries, trusted information sources, defined platform access, and governance controls that are visible before adoption scales." ], "bullets": [ "AI-supported outcomes are owned.", "AI decision boundaries are documented.", "Human oversight is explicit.", "Information sources are trusted and governed.", "Agents are auditable.", "Leaders can see whether AI is improving the system or amplifying dysfunction." ] }, "lapemoSupport": { "heading": "Lapemo turns AI readiness into operating intelligence.", "body": [ "Lapemo can capture AI use cases, owners, decision types, governance controls, information sources, platform boundaries, and agent records so leaders can monitor readiness and amplification risk over time." ], "bullets": [ "Tracks AI use case ownership.", "Scores readiness across the seven layers.", "Surfaces governance and accountability gaps.", "Connects AI activity to decisions, platforms, and controls.", "Monitors whether AI is scaling faster than the foundation layers can support." ] } } }, { "id": "lpm:use-case:transformation-operating-model", "type": "use-case", "slug": "transformation-operating-model", "title": "Transformation Operating Model", "canonicalUrl": "https://largepeoplemodel.com/use-cases/transformation-operating-model", "version": "1.0.0", "status": "published", "source": "large-people-model-website", "publisher": "Lapemo Systems LLC", "lastUpdated": "2026-08-04", "relationships": [ { "type": "applies_to", "targetId": "lpm:layer:identity-and-incentives" }, { "type": "applies_to", "targetId": "lpm:layer:decision-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:communication-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:governance-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:information-ecology" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:decision-rights-matrix" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:source-of-truth-map" } ], "content": { "audience": [ "coo", "transformation-leader", "strategy-leader" ], "audienceLabel": "COO, transformation leader, strategy leader", "summary": "Connect strategy, ownership, decisions, communication, and delivery so transformation work does not drift from intent.", "problem": { "heading": "Transformation breaks when strategy cannot travel through the operating model.", "body": [ "Most transformation programs start with a clear strategic intent. The breakdown happens as that intent moves through ownership, decisions, communication, platforms, governance, and delivery teams." ], "bullets": [ "Strategic priorities become disconnected initiatives.", "Teams interpret the transformation differently.", "Decisions stall in steering committees.", "Communication volume increases without improving clarity.", "Progress reports hide operating model bottlenecks." ] }, "whyTraditionalApproachesMissIt": { "heading": "Traditional transformation tracking often measures activity instead of coordination.", "body": [ "Roadmaps, milestones, status reports, and PMO dashboards show whether work is moving. They do not always show whether the operating model is aligned enough for the work to create the intended change." ], "bullets": [ "Green status can hide unclear ownership.", "Milestones can move while decisions remain unresolved.", "Communication plans can increase updates without creating shared understanding.", "Governance forums can approve work without removing bottlenecks." ] }, "lpmDiagnosis": { "heading": "LPM identifies where transformation drift originates.", "body": [ "LPM connects strategy to ownership, ownership to decisions, decisions to communication, communication to information, and governance to execution risk." ], "bullets": [ "Which outcomes are not clearly owned?", "Which decisions are aging or repeatedly escalated?", "Where is communication creating noise?", "Which information sources define progress?", "Which governance controls are helping or blocking execution?" ] }, "metricsToInspect": [ { "name": "Ownership clarity score", "whyItMatters": "Shows whether strategic outcomes have accountable owners.", "href": "/metrics/ownership-clarity-score" }, { "name": "Outcome owner coverage", "whyItMatters": "Identifies transformation work without clear ownership.", "href": "/metrics/outcome-owner-coverage" }, { "name": "Decision latency", "whyItMatters": "Reveals where key choices are slowing execution.", "href": "/metrics/decision-latency" }, { "name": "Decision aging", "whyItMatters": "Surfaces unresolved decisions that create drift.", "href": "/metrics/decision-aging" }, { "name": "Communication channel fragmentation", "whyItMatters": "Shows whether updates are creating noise.", "href": "/metrics/communication-channel-fragmentation" }, { "name": "Information freshness", "whyItMatters": "Checks whether progress signals are current.", "href": "/metrics/information-freshness" }, { "name": "Governance bottleneck count", "whyItMatters": "Identifies controls or forums slowing execution.", "href": "/metrics/governance-bottleneck-count" }, { "name": "Approval cycle time", "whyItMatters": "Shows how governance timing affects transformation flow.", "href": "/metrics/approval-cycle-time" } ], "recommendedArtifacts": [ { "name": "Transformation ownership map", "purpose": "Tie strategic outcomes to accountable owners." }, { "name": "Decision rights matrix", "purpose": "Clarify who can decide, approve, pause, or redirect work.", "href": "/library/knowledge-objects/decision-rights-matrix" }, { "name": "Transformation decision log", "purpose": "Track critical decisions and unresolved tradeoffs." }, { "name": "Communication architecture map", "purpose": "Define how transformation decisions travel." }, { "name": "Source-of-truth map", "purpose": "Anchor reporting to trusted information sources.", "href": "/library/knowledge-objects/source-of-truth-map" }, { "name": "Governance decision tree", "purpose": "Clarify which issues need review or escalation." }, { "name": "Operating model review artifact", "purpose": "Review progress through the LPM layers." } ], "whatGoodLooksLike": { "heading": "Transformation becomes a governed operating system, not a status exercise.", "body": [ "Strategic outcomes are owned, decisions are traceable, communication is intentional, information is trusted, and governance forums remove friction instead of adding it." ], "bullets": [ "Each transformation outcome has an accountable owner.", "Critical decisions have clear rights and timelines.", "Progress reporting is tied to trusted sources.", "Governance focuses on risk, tradeoffs, and bottlenecks.", "Leaders can see where the operating model is drifting." ] }, "lapemoSupport": { "heading": "Lapemo gives transformation leaders an operating model command layer.", "body": [ "Lapemo can connect outcomes, owners, decisions, communication channels, information sources, governance controls, and risk signals so transformation leaders can see where execution is drifting." ], "bullets": [ "Captures ownership and decision lineage.", "Scores maturity across affected layers.", "Surfaces bottlenecks and accountability gaps.", "Tracks governance drift.", "Helps leaders prioritize operating model improvements." ] } } }, { "id": "lpm:use-case:product-operating-model", "type": "use-case", "slug": "product-operating-model", "title": "Product Operating Model", "canonicalUrl": "https://largepeoplemodel.com/use-cases/product-operating-model", "version": "1.0.0", "status": "published", "source": "large-people-model-website", "publisher": "Lapemo Systems LLC", "lastUpdated": "2026-08-04", "relationships": [ { "type": "applies_to", "targetId": "lpm:layer:identity-and-incentives" }, { "type": "applies_to", "targetId": "lpm:layer:decision-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:communication-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:platform-structure" }, { "type": "applies_to", "targetId": "lpm:layer:governance-architecture" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:decision-rights-matrix" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:platform-map" } ], "content": { "audience": [ "cpo", "product-operations", "technology-leader" ], "audienceLabel": "CPO, product operations, technology leaders", "summary": "Improve product clarity at scale by connecting roadmaps, decision rights, platform structure, ownership, architecture, and delivery.", "problem": { "heading": "Product teams lose clarity as the operating model scales.", "body": [ "Product organizations often start with strong team-level practices, but clarity breaks down across portfolios, platforms, dependencies, architecture, funding, and governance." ], "bullets": [ "Roadmaps are not tied to decision rights.", "Product ownership is unclear across platforms.", "Architecture and product decisions move separately.", "Teams wait on dependency decisions.", "Delivery metrics improve while strategic alignment weakens." ] }, "whyTraditionalApproachesMissIt": { "heading": "Team-level agile practices do not solve enterprise product coordination.", "body": [ "Agile rituals, backlogs, roadmaps, and planning cadences help teams execute. They do not automatically resolve cross-product ownership, platform boundaries, decision authority, or governance constraints." ], "bullets": [ "Product teams can be agile while enterprise decisions remain slow.", "Roadmaps can hide unresolved dependencies.", "Platform ownership can be unclear beneath product delivery.", "Governance can approve work without clarifying decision rights." ] }, "lpmDiagnosis": { "heading": "LPM diagnoses the operating system around product delivery.", "body": [ "LPM looks beyond delivery activity to assess whether product ownership, decision architecture, communication, platform structure, and governance support the outcomes the product organization is trying to create." ], "bullets": [ "Who owns the product outcome?", "Which decisions slow product flow?", "Where do dependencies cross platform boundaries?", "Which communication channels carry product decisions?", "How does governance affect velocity and risk?" ] }, "metricsToInspect": [ { "name": "Ownership clarity score", "whyItMatters": "Shows whether product outcomes have accountable owners.", "href": "/metrics/ownership-clarity-score" }, { "name": "Decision latency", "whyItMatters": "Reveals decisions slowing product flow.", "href": "/metrics/decision-latency" }, { "name": "Decision dependency count", "whyItMatters": "Surfaces dependency chains across products and platforms.", "href": "/metrics/decision-dependency-count" }, { "name": "Channel fragmentation", "whyItMatters": "Shows whether product communication creates noise.", "href": "/metrics/channel-fragmentation" }, { "name": "Platform ownership clarity", "whyItMatters": "Identifies unclear ownership across platform boundaries.", "href": "/metrics/platform-ownership-clarity" }, { "name": "Manual handoff rate", "whyItMatters": "Shows where workflow friction remains hidden.", "href": "/metrics/manual-handoff-rate" }, { "name": "Workflow fragmentation score", "whyItMatters": "Measures whether platforms support or fragment flow.", "href": "/metrics/workflow-fragmentation-score" }, { "name": "Approval cycle time", "whyItMatters": "Shows whether governance is helping or slowing delivery.", "href": "/metrics/approval-cycle-time" } ], "recommendedArtifacts": [ { "name": "Product ownership map", "purpose": "Clarify ownership across product outcomes and platforms." }, { "name": "Decision rights matrix", "purpose": "Define product, platform, and architecture decision rights.", "href": "/library/knowledge-objects/decision-rights-matrix" }, { "name": "Product decision log", "purpose": "Trace roadmap and architecture choices." }, { "name": "Platform map", "purpose": "Show platform boundaries and dependencies.", "href": "/library/knowledge-objects/platform-map" }, { "name": "Dependency map", "purpose": "Identify cross-team and cross-platform dependencies." }, { "name": "Architecture decision record", "purpose": "Keep architectural choices visible and reusable." }, { "name": "Governance review model", "purpose": "Clarify how risk and tradeoffs are reviewed." } ], "whatGoodLooksLike": { "heading": "Product delivery is connected to ownership, architecture, platforms, and decisions.", "body": [ "Product teams can move quickly because ownership is clear, decision rights are known, platform boundaries are understood, and governance supports the work instead of slowing it without purpose." ], "bullets": [ "Product outcomes have clear owners.", "Roadmaps reflect real dependencies and decision rights.", "Platform ownership is visible.", "Architecture decisions are traceable.", "Governance creates clarity around risk and tradeoffs." ] }, "lapemoSupport": { "heading": "Lapemo connects product execution to the operating model behind it.", "body": [ "Lapemo can map product outcomes, owners, decisions, platforms, dependencies, and governance controls so product leaders can see the system shaping velocity and clarity." ], "bullets": [ "Tracks ownership across product and platform boundaries.", "Connects product decisions to downstream impacts.", "Identifies platform fragmentation and manual handoffs.", "Surfaces dependency and governance bottlenecks.", "Helps product operations manage operating model health." ] } } }, { "id": "lpm:use-case:ma-integration", "type": "use-case", "slug": "ma-integration", "title": "M&A Integration", "canonicalUrl": "https://largepeoplemodel.com/use-cases/ma-integration", "version": "1.0.0", "status": "published", "source": "large-people-model-website", "publisher": "Lapemo Systems LLC", "lastUpdated": "2026-08-04", "relationships": [ { "type": "applies_to", "targetId": "lpm:layer:identity-and-incentives" }, { "type": "applies_to", "targetId": "lpm:layer:decision-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:communication-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:information-ecology" }, { "type": "applies_to", "targetId": "lpm:layer:platform-structure" }, { "type": "applies_to", "targetId": "lpm:layer:governance-architecture" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:source-of-truth-map" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:risk-acceptance-register" } ], "content": { "audience": [ "private-equity", "corporate-strategy", "transformation-office" ], "audienceLabel": "Private equity, corporate strategy, transformation office", "summary": "Diagnose duplicate platforms, conflicting decision rights, mismatched governance, and operating model friction after acquisition.", "problem": { "heading": "M&A integration fails when companies merge structures but not operating models.", "body": [ "After an acquisition, leaders often focus on org design, systems consolidation, synergy targets, and integration workstreams. The harder problem is creating one coordination model across two inherited ways of working." ], "bullets": [ "Duplicate platforms support similar workflows.", "Decision rights conflict across legacy organizations.", "Information sources disagree.", "Governance expectations differ.", "Teams interpret accountability differently.", "Cultural norms create communication friction." ] }, "whyTraditionalApproachesMissIt": { "heading": "Traditional integration plans often underdiagnose coordination mismatch.", "body": [ "Integration plans track milestones, cost synergies, systems migration, and org changes. Those are necessary, but they may not expose how ownership, decisions, communication, information, and governance actually need to change after close." ], "bullets": [ "Systems are consolidated without ownership clarity.", "Governance models are copied rather than redesigned.", "Reporting structures change before decision rights do.", "Culture is discussed broadly instead of diagnosed operationally.", "Duplicate platforms are treated as technology issues only." ] }, "lpmDiagnosis": { "heading": "LPM maps the operating model mismatch between organizations.", "body": [ "LPM helps integration leaders compare how each organization assigns ownership, makes decisions, communicates, manages information, structures platforms, and governs risk." ], "bullets": [ "Where do ownership models conflict?", "Which decision rights must be redesigned?", "Which communication patterns are incompatible?", "Which information sources disagree?", "Which platforms overlap or fragment work?", "What governance model should become standard?" ] }, "metricsToInspect": [ { "name": "Ownership clarity score", "whyItMatters": "Shows whether the combined operating model has clear owners.", "href": "/metrics/ownership-clarity-score" }, { "name": "Decision owner coverage", "whyItMatters": "Identifies decisions without accountable owners.", "href": "/metrics/decision-owner-coverage" }, { "name": "Decision reversal rate", "whyItMatters": "Surfaces instability from unresolved authority.", "href": "/metrics/decision-reversal-rate" }, { "name": "Information conflict rate", "whyItMatters": "Shows where inherited sources disagree.", "href": "/metrics/information-conflict-rate" }, { "name": "Source-of-truth coverage", "whyItMatters": "Identifies authoritative information domains.", "href": "/metrics/source-of-truth-coverage" }, { "name": "Tool duplication count", "whyItMatters": "Measures overlapping platforms and systems.", "href": "/metrics/tool-duplication-count" }, { "name": "Platform ownership clarity", "whyItMatters": "Clarifies who owns inherited platforms.", "href": "/metrics/platform-ownership-clarity" }, { "name": "Control coverage", "whyItMatters": "Shows where governance controls are missing or inconsistent.", "href": "/metrics/control-coverage" } ], "recommendedArtifacts": [ { "name": "Integration ownership map", "purpose": "Compare ownership across legacy organizations." }, { "name": "Decision rights comparison", "purpose": "Identify authority conflicts and redesign needs." }, { "name": "Platform overlap inventory", "purpose": "Map duplicate systems and workflows." }, { "name": "Source-of-truth map", "purpose": "Define authoritative information domains.", "href": "/library/knowledge-objects/source-of-truth-map" }, { "name": "Governance model comparison", "purpose": "Compare controls and escalation paths." }, { "name": "Integration operating model canvas", "purpose": "Document the target coordination model." }, { "name": "Risk acceptance register", "purpose": "Track risks accepted during integration.", "href": "/library/knowledge-objects/risk-acceptance-register" } ], "whatGoodLooksLike": { "heading": "The combined company has one visible coordination model.", "body": [ "Leadership can see who owns what, how decisions are made, which platforms are authoritative, what information is trusted, and how governance works across the integrated enterprise." ], "bullets": [ "Conflicting decision rights are resolved.", "Duplicate platforms have a rationalization path.", "Critical information domains have authoritative sources.", "Governance is standardized where needed.", "Teams understand the new operating model." ] }, "lapemoSupport": { "heading": "Lapemo helps integration leaders see operating model convergence.", "body": [ "Lapemo can map ownership, decisions, platforms, information domains, and governance controls across legacy organizations so leaders can identify conflicts, overlaps, and integration priorities." ], "bullets": [ "Captures duplicate platform and ownership patterns.", "Traces decision rights across organizations.", "Identifies broken accountability chains.", "Tracks information and governance convergence.", "Helps monitor integration drift after close." ] } } }, { "id": "lpm:use-case:platform-governance", "type": "use-case", "slug": "platform-governance", "title": "Platform Governance", "canonicalUrl": "https://largepeoplemodel.com/use-cases/platform-governance", "version": "1.0.0", "status": "published", "source": "large-people-model-website", "publisher": "Lapemo Systems LLC", "lastUpdated": "2026-08-04", "relationships": [ { "type": "applies_to", "targetId": "lpm:layer:platform-structure" }, { "type": "applies_to", "targetId": "lpm:layer:governance-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:information-ecology" }, { "type": "applies_to", "targetId": "lpm:layer:decision-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:identity-and-incentives" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:platform-map" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:integration-map" } ], "content": { "audience": [ "cio", "enterprise-architect", "platform-owner" ], "audienceLabel": "CIO, enterprise architects, platform owners", "summary": "Reduce tool sprawl and define platform ownership, governance, lifecycle, and integration rules.", "problem": { "heading": "Tool sprawl creates coordination debt.", "body": [ "Enterprises rarely suffer from a lack of tools. They suffer from too many systems with unclear ownership, overlapping purpose, fragmented workflows, and inconsistent governance." ], "bullets": [ "Teams use different tools for similar work.", "Manual handoffs connect critical workflows.", "Platform owners are unclear.", "Governance is inconsistent across tools.", "Information moves without clear lineage.", "AI and agents increase risk by operating across fragmented systems." ] }, "whyTraditionalApproachesMissIt": { "heading": "Traditional platform governance often focuses on inventory, not operating behavior.", "body": [ "Application inventories, architecture reviews, and rationalization efforts are useful, but they often miss how platforms shape day-to-day ownership, decisions, communication, information flow, and governance." ], "bullets": [ "Tool inventories do not show workflow fragmentation.", "Architecture diagrams do not always show decision ownership.", "Rationalization efforts can miss operating model dependencies.", "Governance may focus on approval rather than lifecycle and accountability." ] }, "lpmDiagnosis": { "heading": "LPM diagnoses how platforms shape the operating model.", "body": [ "LPM connects platforms to the work, owners, decisions, information, integrations, and governance rules they support or distort." ], "bullets": [ "Which tools support critical workflows?", "Who owns each platform and boundary?", "Where are manual handoffs creating risk?", "Which tools duplicate purpose?", "Which information sources are authoritative?", "What governance applies across the platform lifecycle?" ] }, "metricsToInspect": [ { "name": "Platform ownership clarity", "whyItMatters": "Shows whether every platform has an accountable owner.", "href": "/metrics/platform-ownership-clarity" }, { "name": "Integration coverage", "whyItMatters": "Measures whether key workflows are connected.", "href": "/metrics/integration-coverage" }, { "name": "Manual handoff rate", "whyItMatters": "Surfaces workflow risk from manual movement.", "href": "/metrics/manual-handoff-rate" }, { "name": "Workflow fragmentation score", "whyItMatters": "Measures fragmentation across tools and systems.", "href": "/metrics/workflow-fragmentation-score" }, { "name": "Tool duplication count", "whyItMatters": "Identifies duplicate systems with overlapping purpose.", "href": "/metrics/tool-duplication-count" }, { "name": "Source-of-truth coverage", "whyItMatters": "Shows where authoritative information is defined.", "href": "/metrics/source-of-truth-coverage" }, { "name": "Control coverage", "whyItMatters": "Checks whether platform controls match risk.", "href": "/metrics/control-coverage" }, { "name": "Governance bottleneck count", "whyItMatters": "Shows where review or approval slows execution.", "href": "/metrics/governance-bottleneck-count" } ], "recommendedArtifacts": [ { "name": "Platform map", "purpose": "Show systems, boundaries, owners, and workflows.", "href": "/library/knowledge-objects/platform-map" }, { "name": "Tool sprawl inventory", "purpose": "Identify duplicate tools and overlapping purpose." }, { "name": "Workflow inventory", "purpose": "Map critical workflows across systems." }, { "name": "Integration map", "purpose": "Document system connections and gaps.", "href": "/library/knowledge-objects/integration-map" }, { "name": "Platform ownership register", "purpose": "Assign owners for lifecycle and boundaries." }, { "name": "Governance decision tree", "purpose": "Clarify review and approval paths." }, { "name": "Lifecycle policy map", "purpose": "Define governance across platform lifecycle stages." } ], "whatGoodLooksLike": { "heading": "Platforms have clear purpose, ownership, lifecycle, and governance.", "body": [ "The enterprise can see which platforms support which workflows, who owns them, how they integrate, what information they carry, and how they are governed across their lifecycle." ], "bullets": [ "Platform ownership is explicit.", "Duplicate tools are identified and rationalized.", "Manual handoffs are reduced or governed.", "Workflows are mapped across platform boundaries.", "Governance is proportional to risk and usage." ] }, "lapemoSupport": { "heading": "Lapemo turns platform governance into operating intelligence.", "body": [ "Lapemo can map platforms, owners, boundaries, integrations, controls, and workflow fragmentation so technology leaders can govern the platform estate as part of the operating model." ], "bullets": [ "Captures platform ownership and boundaries.", "Scores integration and fragmentation signals.", "Identifies manual handoff risk.", "Links platforms to decisions, information, and controls.", "Supports platform rationalization and governance reviews." ] } } }, { "id": "lpm:use-case:agent-workforce-governance", "type": "use-case", "slug": "agent-workforce-governance", "title": "Agent Workforce Governance", "canonicalUrl": "https://largepeoplemodel.com/use-cases/agent-workforce-governance", "version": "1.0.0", "status": "published", "source": "large-people-model-website", "publisher": "Lapemo Systems LLC", "lastUpdated": "2026-08-04", "relationships": [ { "type": "applies_to", "targetId": "lpm:layer:ai-amplification" }, { "type": "applies_to", "targetId": "lpm:layer:governance-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:identity-and-incentives" }, { "type": "applies_to", "targetId": "lpm:layer:decision-architecture" }, { "type": "applies_to", "targetId": "lpm:layer:platform-structure" }, { "type": "applies_to", "targetId": "lpm:layer:information-ecology" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:agent-accountability-checklist" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:human-in-the-loop-model" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:ai-governance-checklist" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:decision-rights-matrix" }, { "type": "evidenced_by", "targetId": "lpm:knowledge-object:risk-acceptance-register" } ], "content": { "audience": [ "ai-leader", "risk-leader", "technology-executive" ], "audienceLabel": "AI leaders, risk leaders, technology executives", "summary": "Bring governed agents under clear ownership, action boundaries, auditability, approvals, exceptions, and human accountability.", "problem": { "heading": "Governed agents create a new operating model risk.", "body": [ "Agents do not only generate content or recommendations. They can take action, move across systems, trigger workflows, and affect decisions. That makes them part of the operating model." ], "bullets": [ "Agent actions may not have clear human owners.", "Approval rules can be inconsistent.", "Audit trails may be incomplete.", "Agents may operate across fragmented platforms.", "Exceptions may not be traceable.", "Leaders may not know what agents are allowed to do." ] }, "whyTraditionalApproachesMissIt": { "heading": "Traditional AI governance often stops at policy and model risk.", "body": [ "Policies, risk reviews, model evaluations, and security controls matter. But agent governance also requires operating model clarity: who owns agent actions, what decisions agents can support, where approvals occur, and how actions are traced." ], "bullets": [ "Model governance does not define workflow ownership.", "Security review does not define decision accountability.", "Policy does not always translate to action boundaries.", "Auditability must connect agent actions to human oversight." ] }, "lpmDiagnosis": { "heading": "LPM treats agents as participants in the operating model.", "body": [ "LPM diagnoses whether the enterprise has enough ownership, decision architecture, platform structure, governance, and information trust to safely operate agents." ], "bullets": [ "Who supervises each agent?", "What actions can the agent take?", "Which decisions require human approval?", "What systems can the agent access?", "How are actions logged and reviewed?", "What happens when an agent violates a boundary?" ] }, "metricsToInspect": [ { "name": "AI use case owner coverage", "whyItMatters": "Shows whether agentic work has accountable supervision.", "href": "/metrics/ai-use-case-owner-coverage" }, { "name": "Human-in-the-loop clarity", "whyItMatters": "Clarifies which decisions require human review.", "href": "/metrics/human-in-the-loop-clarity" }, { "name": "Agent action auditability", "whyItMatters": "Measures whether actions can be traced and reviewed.", "href": "/metrics/agent-action-auditability" }, { "name": "Control coverage", "whyItMatters": "Checks whether controls exist for agent actions.", "href": "/metrics/control-coverage" }, { "name": "Risk acceptance lineage", "whyItMatters": "Shows whether exceptions and accepted risks are traceable.", "href": "/metrics/risk-acceptance-lineage" }, { "name": "Platform ownership clarity", "whyItMatters": "Identifies ownership across systems agents access.", "href": "/metrics/platform-ownership-clarity" }, { "name": "Information trust score", "whyItMatters": "Tests whether agents use trusted information.", "href": "/metrics/information-trust-score" }, { "name": "AI amplification risk", "whyItMatters": "Surfaces where agents may scale operating model weakness.", "href": "/metrics/ai-amplification-risk" } ], "recommendedArtifacts": [ { "name": "Agent accountability checklist", "purpose": "Define owners, supervisors, and responsibility boundaries.", "href": "/library/knowledge-objects/agent-accountability-checklist" }, { "name": "Agent action register", "purpose": "Track agents, allowed actions, and workflow scope." }, { "name": "Human-in-the-loop model", "purpose": "Clarify approval and escalation requirements.", "href": "/library/knowledge-objects/human-in-the-loop-model" }, { "name": "AI governance checklist", "purpose": "Map controls, reviews, and exceptions.", "href": "/library/knowledge-objects/ai-governance-checklist" }, { "name": "Decision rights matrix", "purpose": "Define decisions agents may support or trigger.", "href": "/library/knowledge-objects/decision-rights-matrix" }, { "name": "Platform access map", "purpose": "Show systems agents can access." }, { "name": "Risk acceptance register", "purpose": "Document accepted risks and accountable approvers.", "href": "/library/knowledge-objects/risk-acceptance-register" }, { "name": "Audit review protocol", "purpose": "Define how agent actions are reviewed over time." } ], "whatGoodLooksLike": { "heading": "Agents operate inside clear human accountability and governance boundaries.", "body": [ "Every agent has a supervisor, defined autonomy level, approved action boundaries, trusted information sources, governed platform access, and audit records that connect actions back to accountable humans." ], "bullets": [ "Agent ownership is explicit.", "Autonomy levels are defined.", "Human approval rules are clear.", "Actions are auditable.", "Exceptions are traceable.", "Governance can detect drift before harm occurs." ] }, "lapemoSupport": { "heading": "Lapemo helps govern agents as part of the operating model.", "body": [ "Lapemo can register agents, map supervisors, classify autonomy levels, connect agent activity to decisions and platforms, and monitor governance coverage and auditability." ], "bullets": [ "Tracks agent ownership and supervision.", "Maps autonomy and decision boundaries.", "Captures agent action lineage.", "Connects controls, approvals, and exceptions.", "Surfaces AI amplification risk across the operating model." ] } } } ] }