Intelligence

1 What is organizational intelligence?
2 Intelligence attributes
3 Intelligence source element
4 Intelligence application element
5 Relationships to other domains
6 Enumeration tables
7 Usage guidance
8 Examples
9 Schema Reference

What is organizational intelligence?

The Intelligence domain captures and structures the intelligence-gathering activities of an organisation. It spans routine business reporting through to sophisticated competitive and geopolitical intelligence. This domain enables organisations to maintain an adaptive and informed operating model by gathering and analysing internal and external intelligence.

Organizational intelligence informs strategy, risk management, and operational decisions, encompassing open-source, subscription-based, internal, and covert intelligence sources. It ensures that decisions are evidence-based and responsive to emerging trends, risks, and competitive pressures.

Intelligence attributes

Attribute	Description	Example

Attribute	Description	Example
`title`	Name of the intelligence report or activity	"Quarterly Competitor Market Share Report"
`description`	Description of the intelligence content	"Analysis of competitor market activities and positioning"
`purpose`	Purpose of the intelligence activity	"Guide marketing investments for Product Line A"
`owner`	Team or individual responsible	"Head of Corporate Intelligence"
`orgUnitTitle`	Organisational unit accountable	"Corporate Strategy and Market Intelligence Division"
`sources`	List of intelligence sources used	"Public filings, industry databases, competitor monitoring"
`intelligenceType`	Type of intelligence	"Competitive intelligence"
`frequency`	Update frequency	"Monthly"
`legalAndEthicalConsiderations`	Applicable legal/ethical restrictions	"Follows GDPR and Australian Privacy Law"
`confidentialityLevel`	Classification of the intelligence	"Confidential"
`performanceIndicators`	KPIs measuring intelligence usefulness	"Faster response to competitor pricing changes"
`risks`	Risks in collection or use of intelligence	"Reputational risk if intelligence leaks"
`improvementOpportunities`	Suggestions for improving intelligence processes	"Adopt automated social listening tools"
`strategicAlignment`	Linkage to organisational strategy	"Supports Market Expansion Goal 2025"

Intelligence source element

Attribute	Description	Example

Attribute	Description	Example
`sourceName`	Name of the intelligence source	"Bloomberg Terminal"
`sourceType`	Type of source	"Paid research services"
`reliabilityRating`	Source reliability	"High"
`collectionMethod`	Method of information collection	"Automated scraping"
`cost`	Cost associated with the source	"$24,000/year"
`complianceStatus`	Compliance check outcome	"Compliant"

Intelligence application element

Attribute	Description	Example

Attribute	Description	Example
`applicationArea`	Area where intelligence is applied	"New market entry"
`organisationalDecisionsInfluenced`	Key decisions informed	"Launch decision for Product X"
`intelligenceConsumers`	Roles that use the intelligence	"CEO, Head of Sales, VP Strategy"
`measurableOutcomes`	Outcomes from applying intelligence	"20% increase in speed of market response"

Relationships to other domains

Related Domain	Description

Related Domain	Description
`Strategy`	Enables more informed strategic planning and scenario analysis.
`Market`	Provides tactical competitive and market awareness.
`Risk Management`	Early warning for emerging operational and strategic risks.
`Performance`	Enables dynamic KPI recalibration based on real-world signals.

Enumeration tables

Intelligence type

Enumeration Value	Description

Enumeration Value	Description
Business reporting	Internal reporting and dashboarding activities.
Competitive intelligence	Systematic monitoring of competitor activity.
Market intelligence	External market trends and customer movement insights.
Regulatory surveillance	Monitoring of regulatory developments and changes.
Security intelligence	Physical, cybersecurity, and operational security threats.
Insider threat monitoring	Identifying risks from within the organisation.
Geopolitical analysis	Intelligence on political or geopolitical developments.
Corporate espionage	Covert activities focused on competitor secrets.
Agency intelligence feed	Information provided by national or private agencies.
Social media and OSINT	Open-source intelligence gathered from public channels.
Dark web monitoring	Monitoring unindexed or hidden internet spaces.

Frequency

Enumeration Value	Description

Enumeration Value	Description
Continuous	Real-time, continuous updates.
Daily	Updated every day.
Weekly	Weekly updates.
Monthly	Monthly cycles.
Quarterly	Once every fiscal quarter.
Annually	Annual reporting.
Event-driven	Triggered by events.
Ad-hoc	Irregular, on-demand reporting.

Confidentiality level

Enumeration Value	Description

Enumeration Value	Description
Public	Freely available to anyone.
Internal	Accessible to all employees.
Confidential	Restricted to select personnel.
Restricted	Limited to certain executives or departments.
Secret	High sensitivity, limited circulation.
Top Secret	Highest sensitivity, exceptional access control.

Source type

Enumeration Value	Description

Enumeration Value	Description
Public data	Freely available data sources.
Paid research services	Purchased data and analysis products.
Regulatory filings	Mandatory disclosures from competitors.
Informal networks	Personal or industry insider networks.
Third-party subscription	Licensed access to structured datasets.
Dark web sources	Data from unindexed or illicit sources.
Social media	Monitored public social channels.
Government intelligence	Data from government agencies.
Corporate whistleblowers	Internal sources revealing hidden issues.
Surveillance systems	Technical surveillance like CCTV or IoT monitoring.

Reliability rating

Enumeration Value	Description

Enumeration Value	Description
High	Consistently accurate and verified.
Medium	Generally trustworthy, may require validation.
Low	Suspect reliability or mixed accuracy.
Unverified	Unknown reliability.

Collection method

Enumeration Value	Description

Enumeration Value	Description
Manual research	Human-led research and analysis.
Automated scraping	Automated bots collecting data.
Sensor-based collection	Internet of Things or physical monitoring.
Third-party acquisition	Commercial data purchases.
Human intelligence	Intelligence gathered from interpersonal sources.
Signals intelligence	Technical intercepts or monitoring.
AI-generated summarisation	Artificial intelligence generated summaries and insights.

Compliance status

Enumeration Value	Description

Enumeration Value	Description
Compliant	Fully legally and ethically compliant.
Not applicable	No applicable compliance obligations.
Non-compliant	Currently breaching regulations.
Under review	Pending compliance clarification.

Application area

Enumeration Value	Description

Enumeration Value	Description
Strategic decision-making	Supports corporate strategy refinement.
Tactical operations	Informs frontline operational decisions.
Mergers and acquisitions	Insight into acquisition targets or threats.
New market entry	Aids geographic or segment expansion planning.
Product development	Input to product roadmap decisions.
Risk management	Early warning system for business risks.
Competitive response	Enables counter-actions to competitor activity.
Brand reputation management	Manages corporate reputation risks.
Fraud prevention	Detects or prevents fraudulent activity.

Usage guidance

The Organizational Intelligence schema supports structured representation of intelligence-related activities across an organisation. It is designed to capture routine business reporting, proactive competitive intelligence, regulatory surveillance, and high-sensitivity intelligence operations (including agency feeds and, where applicable, covert intelligence gathering).

This domain allows organisations to model both the intelligence inputs (sources and collection methods) and the outcomes (decisions influenced and measurable impacts), enabling a more deliberate and traceable application of intelligence within strategic and operational processes.

Organizational Intelligence is often under-represented in traditional business architecture, yet it is crucial for resilience, competitiveness, and risk mitigation. Its structured inclusion enhances transparency in decision-making and enables more accountable and adaptive corporate governance.

Typical uses

Strategic decision support: Embedding intelligence into board-level decisions on market entry, M&A, and risk posture.
Competitive positioning: Providing evidence-based insights to anticipate competitor movements and market shifts.
Regulatory compliance assurance: Tracking regulatory developments and reducing the risk of non-compliance incidents.
Operational risk mitigation: Using intelligence inputs to prevent disruptions from geopolitical, cyber, or supply chain risks.
Internal security: Monitoring insider risks and safeguarding sensitive assets through structured intelligence programs.

Recommended practices

Classify intelligence appropriately: Use the confidentialityLevel attribute rigorously to manage access and legal compliance.
Document source provenance: The sources array ensures clarity on where intelligence is derived, supporting both transparency and auditability.
Link to business decisions: The applications section clarifies how intelligence directly supports business outcomes and avoids the trap of ‘intelligence for its own sake.’
Embed performance indicators: By integrating measurable outcomes, organisations can track the value generated by intelligence functions and justify continued investment.
Balance ethics and effectiveness: The schema allows for full-spectrum intelligence modelling—from compliant public reporting to covert intelligence activities—while explicitly capturing legalAndEthicalConsiderations for internal accountability.

Typical misapplications

Overuse in low-risk environments: Organisations operating in low-competition or heavily regulated markets should balance effort invested in intelligence activities with actual business need.
Confusing intelligence with information: Organizational Intelligence focuses on actionable insights and forward-looking analysis, not on static documentation or archival records, which are more appropriately captured under the Information domain.
Neglecting governance: Intelligence activities—particularly those involving external surveillance or internal monitoring—should be subject to clear internal governance, which can be supported through proper use of owner and legalAndEthicalConsiderations fields.

Complementary relationships

The Organizational Intelligence domain is most effective when linked to:

Domain	Contribution

Domain	Contribution
Strategy	Enables evidence-based strategic foresight and responsive planning.
Market	Supplements structured market data with dynamic intelligence inputs.
Risk Management	Strengthens proactive risk identification and mitigation.
Performance	Enhances performance feedback loops with forward-looking risk or opportunity indicators.

Examples

Example: AI-Augmented Market Pulse Daily Digest

{
  "intelligenceID": "ORGINT-005",
  "title": "AI-Augmented Market Pulse Daily Digest",
  "description": "Daily summarisation of real-time market movements, key competitor product mentions, and public sentiment towards flagship products, using AI-based social media and news stream analysis.",
  "purpose": "Enable agile tactical adjustments in marketing, pricing, and public relations based on current market signals.",
  "owner": "Head of Tactical Market Intelligence",
  "orgUnitTitle": "Marketing Intelligence Team",
  "sources": [
    {
      "sourceName": "Social Media Listening Platform",
      "sourceType": "Social media",
      "reliabilityRating": "Medium",
      "collectionMethod": "AI-generated summarisation",
      "cost": "$9,000/year",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Real-Time Financial News Aggregator",
      "sourceType": "Paid research services",
      "reliabilityRating": "High",
      "collectionMethod": "Automated scraping",
      "cost": "$15,000/year",
      "complianceStatus": "Compliant"
    }
  ],
  "intelligenceType": "Market intelligence",
  "frequency": "Daily",
  "legalAndEthicalConsiderations": "Only public information sources monitored, strictly avoiding personal data harvesting.",
  "confidentialityLevel": "Internal",
  "performanceIndicators": [
    "Reduction in campaign adjustment lead time by 40%",
    "Improved accuracy of market reaction predictions to promotional events by 20%"
  ],
  "risks": [
    "High volume of noise in public sentiment signals",
    "Potential bias in algorithmic content selection"
  ],
  "improvementOpportunities": [
    "Expand regional language models for greater market coverage",
    "Introduce explainable AI summaries to improve marketing trust in insights"
  ],
  "strategicAlignment": "Supports real-time marketing agility objective under Commercial Effectiveness Program.",
  "applications": [
    {
      "applicationArea": "Tactical operations",
      "organisationalDecisionsInfluenced": "Real-time bid adjustments, campaign pivoting, competitor counter-offers.",
      "intelligenceConsumers": [
        "VP Marketing",
        "Head of Brand Strategy",
        "Campaign Managers"
      ],
      "measurableOutcomes": [
        "15% uplift in digital conversion rates",
        "20% reduction in ineffective ad spend within six months"
      ]
    }
  ]
}

Example: Monthly Regulatory Change Digest

{
  "intelligenceID": "ORGINT-003",
  "title": "Monthly Regulatory Change Digest: Financial Services Sector",
  "description": "A structured summary of regulatory updates impacting financial service providers across Australia, the UK, and the EU, including enacted and proposed legislation.",
  "purpose": "Ensure ongoing compliance and proactive adaptation of operational processes to new regulatory requirements.",
  "owner": "Regulatory Compliance Intelligence Lead",
  "orgUnitTitle": "Regulatory Affairs and Compliance Department",
  "sources": [
    {
      "sourceName": "Official Government Gazettes",
      "sourceType": "Public data",
      "reliabilityRating": "High",
      "collectionMethod": "Manual research",
      "cost": "No cost",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Thomson Reuters Regulatory Feed",
      "sourceType": "Paid research services",
      "reliabilityRating": "High",
      "collectionMethod": "Third-party acquisition",
      "cost": "$12,000/year",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Industry Association Updates",
      "sourceType": "Informal networks",
      "reliabilityRating": "Medium",
      "collectionMethod": "Manual research",
      "cost": "Included in membership fees",
      "complianceStatus": "Compliant"
    }
  ],
  "intelligenceType": "Regulatory surveillance",
  "frequency": "Monthly",
  "legalAndEthicalConsiderations": "Sourced exclusively from publicly available and licensed data channels. Strict compliance with intellectual property rights.",
  "confidentialityLevel": "Internal",
  "performanceIndicators": [
    "Reduction in non-compliance incidents by 30% YoY",
    "Zero regulatory fines post-implementation of digest system"
  ],
  "risks": [
    "Delayed reporting of regulatory changes with immediate effect",
    "Inaccuracies arising from secondary data interpretation"
  ],
  "improvementOpportunities": [
    "Integrate direct API feeds from regulators",
    "Automate mapping of regulatory changes to internal policies"
  ],
  "strategicAlignment": "Supports Compliance Excellence Program and reduces operational risk exposure.",
  "applications": [
    {
      "applicationArea": "Risk management",
      "organisationalDecisionsInfluenced": "Product compliance checks, internal policy updates, operational workflow adjustments.",
      "intelligenceConsumers": [
        "Chief Risk Officer",
        "Head of Legal",
        "Operational Compliance Managers"
      ],
      "measurableOutcomes": [
        "100% policy updates within 10 days of regulatory publication",
        "Reduction of manual compliance audits by 40%"
      ]
    }
  ]
}

Example: M&A Strategic Target Watchlist Quarterly Summary

{
  "intelligenceID": "ORGINT-006",
  "title": "M&A Strategic Target Watchlist Quarterly Summary",
  "description": "Assessment of strategic fit, market positioning, and risk profile of top 10 potential acquisition targets in the SaaS sector, based on financial disclosures, insider signals, and market reputation.",
  "purpose": "Enable the executive committee to maintain a proactive acquisition pipeline aligned to the growth strategy.",
  "owner": "Director of M&A Strategy",
  "orgUnitTitle": "Corporate Development Office",
  "sources": [
    {
      "sourceName": "Company Financial Filings",
      "sourceType": "Regulatory filings",
      "reliabilityRating": "High",
      "collectionMethod": "Manual research",
      "cost": "No additional cost",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Venture Capital Portfolio Tracker",
      "sourceType": "Third-party subscription",
      "reliabilityRating": "High",
      "collectionMethod": "Third-party acquisition",
      "cost": "$22,000/year",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Industry Insider Forums",
      "sourceType": "Informal networks",
      "reliabilityRating": "Medium",
      "collectionMethod": "Manual research",
      "cost": "Low, <$5,000/year",
      "complianceStatus": "Compliant"
    }
  ],
  "intelligenceType": "Business reporting",
  "frequency": "Quarterly",
  "legalAndEthicalConsiderations": "Complies with anti-trust pre-merger review processes and fair competition standards.",
  "confidentialityLevel": "Restricted",
  "performanceIndicators": [
    "Improved pre-diligence pipeline coverage to 95% of relevant targets",
    "Reduction in acquisition timeline by two quarters"
  ],
  "risks": [
    "Potential loss of confidentiality in target tracking",
    "Shifts in market dynamics making quarterly summaries obsolete quickly"
  ],
  "improvementOpportunities": [
    "Incorporate AI valuation modelling into watchlist ranking",
    "Expand non-financial risk screening (e.g., ESG controversies)"
  ],
  "strategicAlignment": "Directly supports non-organic growth objectives under Strategic Expansion Agenda 2030.",
  "applications": [
    {
      "applicationArea": "Mergers and acquisitions",
      "organisationalDecisionsInfluenced": "Prioritisation of acquisition targets, deal timing, early-stage engagement strategies.",
      "intelligenceConsumers": [
        "CEO",
        "Chief Strategy Officer",
        "M&A Committee Members"
      ],
      "measurableOutcomes": [
        "Two successful acquisitions from proactive pipeline per annum",
        "40% higher post-acquisition strategic alignment scores"
      ]
    }
  ]
}

Example: Insider Threat Behavioural Monitoring Weekly Report

{
  "intelligenceID": "ORGINT-004",
  "title": "Insider Threat Behavioural Monitoring: Weekly Report",
  "description": "Early detection report on anomalous behavioural indicators within high-risk departments, focused on preventing data leakage and fraud incidents.",
  "purpose": "Support the protection of sensitive intellectual property and reduce internal fraud risks.",
  "owner": "Chief Security Intelligence Analyst",
  "orgUnitTitle": "Enterprise Security Operations Centre (ESOC)",
  "sources": [
    {
      "sourceName": "Endpoint User Activity Monitoring System",
      "sourceType": "Surveillance systems",
      "reliabilityRating": "High",
      "collectionMethod": "Sensor-based collection",
      "cost": "$35,000/year licensing fee",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "HR Access Control Logs",
      "sourceType": "Internal monitoring",
      "reliabilityRating": "High",
      "collectionMethod": "Sensor-based collection",
      "cost": "Internal resource cost only",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Anonymous Whistleblower Hotline Reports",
      "sourceType": "Corporate whistleblowers",
      "reliabilityRating": "Variable",
      "collectionMethod": "Manual investigation",
      "cost": "Internal case management resource",
      "complianceStatus": "Compliant"
    }
  ],
  "intelligenceType": "Insider threat monitoring",
  "frequency": "Weekly",
  "legalAndEthicalConsiderations": "Strict alignment to employee monitoring policies, privacy by design, and regulatory employment protections.",
  "confidentialityLevel": "Restricted",
  "performanceIndicators": [
    "Time-to-intervention reduced from 15 to 5 working days",
    "Incident containment effectiveness rate increased by 60%"
  ],
  "risks": [
    "False positives leading to reputational harm or employee dissatisfaction",
    "Regulatory scrutiny around employee privacy rights"
  ],
  "improvementOpportunities": [
    "Introduce AI behavioural baselining to reduce false positives",
    "Expand early-warning signals with passive sentiment analysis"
  ],
  "strategicAlignment": "Supports zero internal data breach objective under Corporate Security Strategy 2025.",
  "applications": [
    {
      "applicationArea": "Fraud prevention",
      "organisationalDecisionsInfluenced": "Suspicious activity investigations, internal access rights management, training and cultural interventions.",
      "intelligenceConsumers": [
        "Chief Information Security Officer",
        "Head of Corporate Ethics",
        "Head of Human Resources"
      ],
      "measurableOutcomes": [
        "Reduction in unreported incidents by 50%",
        "Decrease in fraudulent account access events to zero per quarter"
      ]
    }
  ]
}

Example: Covert Competitor Product Testing Operation

{
  "intelligenceID": "ORGINT-007",
  "title": "Covert Product Testing and Reverse Engineering Summary",
  "description": "Technical analysis of competitor flagship product performance and supply chain components, obtained through covert market purchases and reverse engineering activities.",
  "purpose": "Provide early visibility into proprietary product features, material sourcing strategies, and cost structures of a primary market rival.",
  "owner": "Head of Special Competitive Operations",
  "orgUnitTitle": "Strategic Intelligence Unit",
  "sources": [
    {
      "sourceName": "Anonymous Product Acquisition Network",
      "sourceType": "Informal networks",
      "reliabilityRating": "High",
      "collectionMethod": "Manual research",
      "cost": "$45,000 per quarter",
      "complianceStatus": "Under review"
    },
    {
      "sourceName": "In-house Engineering Teardown Reports",
      "sourceType": "Internal monitoring",
      "reliabilityRating": "High",
      "collectionMethod": "Manual research",
      "cost": "Internal resource cost",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Secondary Component Supply Chain Disclosures",
      "sourceType": "Public data",
      "reliabilityRating": "Medium",
      "collectionMethod": "Manual research",
      "cost": "No additional cost",
      "complianceStatus": "Compliant"
    }
  ],
  "intelligenceType": "Corporate espionage",
  "frequency": "Ad-hoc",
  "legalAndEthicalConsiderations": "Strict legal review conducted prior to engagement; internal ethical risk logged due to aggressive market tactics.",
  "confidentialityLevel": "Top Secret",
  "performanceIndicators": [
    "6-month competitive feature advantage maintained in key product lines",
    "Reduction in cost estimation errors by 25%"
  ],
  "risks": [
    "High reputational risk if operation exposed",
    "Legal exposure depending on jurisdictional interpretations"
  ],
  "improvementOpportunities": [
    "Transition from physical acquisition to cyber-focused competitive monitoring",
    "Engage legal counsel earlier in operational planning"
  ],
  "strategicAlignment": "Supports Product Leadership Strategy by securing proprietary product roadmap insights.",
  "applications": [
    {
      "applicationArea": "Competitive response",
      "organisationalDecisionsInfluenced": "Next-generation product timing, component supplier renegotiations, targeted IP strategy.",
      "intelligenceConsumers": [
        "Chief Product Officer",
        "Chief Technology Officer",
        "IP Counsel"
      ],
      "measurableOutcomes": [
        "Acceleration of internal product innovation by two release cycles",
        "Increased gross margin by 8% via early supplier targeting"
      ]
    }
  ]
}

Example: External Threat Environment Advisory from Intelligence Agency

{
  "intelligenceID": "ORGINT-008",
  "title": "Government Advisory: High-Risk Cyber Threat Environment Notification",
  "description": "Confidential advisory bulletin from national intelligence agency highlighting increased threat activity from specific hostile nation-state actors targeting critical infrastructure sectors.",
  "purpose": "Inform board-level cyber security posture adjustments and operational contingency planning in response to rising external cyber threats.",
  "owner": "Chief Security Officer",
  "orgUnitTitle": "Corporate Cybersecurity and Risk Office",
  "sources": [
    {
      "sourceName": "Australian Signals Directorate Cyber Bulletin",
      "sourceType": "Government intelligence",
      "reliabilityRating": "High",
      "collectionMethod": "Third-party acquisition",
      "cost": "No direct cost",
      "complianceStatus": "Compliant"
    },
    {
      "sourceName": "Joint Industry-Government Threat Sharing Program",
      "sourceType": "Public data",
      "reliabilityRating": "High",
      "collectionMethod": "Manual research",
      "cost": "Included in membership fees",
      "complianceStatus": "Compliant"
    }
  ],
  "intelligenceType": "Agency intelligence feed",
  "frequency": "Event-driven",
  "legalAndEthicalConsiderations": "Restricted internal dissemination per agency guidelines; no redistribution permitted.",
  "confidentialityLevel": "Restricted",
  "performanceIndicators": [
    "Zero successful external cybersecurity breaches during elevated alert periods",
    "Mean time to threat response reduced by 50%"
  ],
  "risks": [
    "Potential for over-response to non-specific advisories",
    "Risk of internal leaks of restricted advisory content"
  ],
  "improvementOpportunities": [
    "Enhance internal cross-functional threat escalation workflows",
    "Develop pre-approved operational responses aligned to threat escalation levels"
  ],
  "strategicAlignment": "Supports business continuity and cyber resilience targets under Enterprise Risk Framework 2025.",
  "applications": [
    {
      "applicationArea": "Risk management",
      "organisationalDecisionsInfluenced": "Crisis simulation drills, temporary service isolation protocols, executive briefings on external threat levels.",
      "intelligenceConsumers": [
        "Board Risk Committee",
        "Chief Information Security Officer",
        "Regional Operations Managers"
      ],
      "measurableOutcomes": [
        "Enhanced operational uptime during external threat campaigns",
        "50% reduction in threat response cycle times"
      ]
    }
  ]
}

Schema Reference

Schema file available on GitHub: https://github.com/Orthogramic/Orthogramic_Metamodel/blob/main/schemas/intelligence.schema.json

Suggested Strategic Empathy Updates

Given that strategic empathy relies on "emotional insight" and "stakeholder awareness," the Intelligence domain (which likely handles data, analytics, and insights) would play a crucial supporting role.

Attribute	Type	Description	Example
`sentimentAnalysisCapability`	Boolean	Ability to analyze stakeholder sentiment from various data sources (e.g., social media, internal communications).	True
`stakeholderNetworkMapping`	Boolean	Identification and mapping of key internal and external stakeholders and their relationships.	True
`culturalIntelligenceIntegration`	Boolean	Capability to incorporate cultural nuances and contexts into intelligence analysis.	True
`unstructuredDataAnalysisForEmpathy`	Boolean	Ability to extract emotional and unspoken insights from qualitative data.	True

Relationships:

Intelligence to Strategy: Provides inputs for stakeholderEmotionalInsight, politicalAcuity, and unspokenDynamicsAwareness within the Strategy domain.
Intelligence to People/Customer: Supplies data for employeeEmpathyIndex and customerEmpathyScore.