CS-007 — AI Governance Strategy

Enterprise Service Catalogue Costruire una strategia di AI Governance misurabile.

1. Executive Summary

Il servizio AI Governance Strategy aiuta l’organizzazione a costruire una strategia di AI Governance misurabile.

L’organizzazione dispone di iniziative AI, policy o controlli isolati ma non di una strategia integrata che colleghi obiettivi, rischi, responsabilità, investimenti e risultati misurabili.

Definisce un modello di governance attuabile e misurabile, con priorità, ruoli, controlli, KPI e roadmap coerenti con il contesto organizzativo.

Il risultato è una base concreta per assumere decisioni executive, ridurre il rischio, assegnare responsabilità e definire il passo successivo con evidenze verificabili.

2. Perché questo servizio

L’organizzazione dispone di iniziative AI, policy o controlli isolati ma non di una strategia integrata che colleghi obiettivi, rischi, responsabilità, investimenti e risultati misurabili.

Quando l’Intelligenza Artificiale entra nei processi, nei prodotti o nelle decisioni, il rischio non è soltanto tecnologico. Diventa un rischio organizzativo, operativo, normativo, reputazionale e decisionale.

Senza un intervento strutturato, leadership e funzioni di controllo possono operare con informazioni incomplete, responsabilità non definite e priorità non condivise. Questo rallenta le decisioni, aumenta i costi di correzione e rende difficile dimostrare che l’organizzazione mantiene un controllo effettivo.

3. Quando attivarlo

Il servizio è particolarmente indicato:

dopo assessment o discovery executive
prima di un programma AI enterprise
quando iniziative e responsabilità sono frammentate
in preparazione a requisiti normativi o audit
durante trasformazioni strategiche, digitali o organizzative

Può essere attivato come intervento autonomo oppure come parte di un percorso più ampio di Assessment, Strategy, Validation o trasformazione della governance.

4. Problemi che risolve

Se il servizio non viene svolto, l’organizzazione rischia di:

assumere decisioni senza una base informativa condivisa;
sottovalutare rischi, dipendenze e responsabilità;
introdurre sistemi AI senza controlli adeguati;
affrontare audit e verifiche senza evidenze sufficienti;
investire in iniziative non prioritarie o non sostenibili;
generare conflitti tra direzione, tecnologia, operations, legal e compliance;
non riuscire a spiegare o ricostruire le decisioni;
aumentare costi, ritardi e rischio reputazionale;
compromettere continuità operativa e fiducia degli stakeholder.

5. Destinatari

CEO e direzione generale
CIO e responsabili dei sistemi informativi
COO e responsabili delle operations
Compliance Officer
Risk Manager
Legal e General Counsel
responsabili Innovation e trasformazione digitale
Data Office e responsabili della conoscenza
Pubbliche Amministrazioni
organizzazioni territoriali, consorzi ed enti complessi

Il servizio viene adattato al livello decisionale, al settore, alla complessità organizzativa e al grado di esposizione dell’organizzazione.

6. Come lavoriamo

Il percorso operativo viene definito in funzione della decisione da supportare e del rischio da ridurre.

Inquadramento executive — chiarimento di obiettivi, contesto, decisioni e stakeholder.
Definizione del perimetro — identificazione di sistemi, processi, fonti, responsabilità e obblighi.
Raccolta delle evidenze — analisi di documenti, interviste, dati, policy, processi e controlli esistenti.
Valutazione — identificazione di rischi, gap, dipendenze, priorità e capacità organizzative.
Validazione — verifica delle evidenze e confronto con requisiti, KPI e criteri di governance.
Decisione executive — restituzione di risultati, opzioni, raccomandazioni e priorità.
Piano d’azione — definizione di responsabilità, tempi, indicatori e passi successivi.

Solo dopo aver chiarito il problema organizzativo viene applicato il metodo Cognitive Logic e il QEN Framework.

7. Deliverable

I principali output del servizio includono:

AI Governance Strategy
Executive Decision Brief
Governance Operating Model
Roles and Accountability Matrix
Risk and Control Framework
KPI and Measurement Model
Implementation Roadmap

Il perimetro definitivo dei deliverable viene stabilito in fase di avvio in base agli obiettivi, alla complessità e alle evidenze disponibili.

8. Benefici

riduzione dell’esposizione organizzativa e normativa;
maggiore affidabilità delle decisioni;
responsabilità e priorità più chiare;
conformità dimostrabile attraverso evidenze;
riduzione delle ambiguità tra funzioni;
decisioni spiegabili, verificabili e tracciabili;
maggiore fiducia da parte di board, clienti, autorità e stakeholder;
migliore continuità operativa;
roadmap e investimenti basati su priorità verificabili.

Il beneficio centrale è la capacità di trasformare un problema complesso in una decisione governabile, documentata e attuabile.

9. Evidenze

Il servizio produce evidenze documentate e utilizzabili dalla direzione, dalle funzioni di controllo e dai responsabili operativi.

Le evidenze vengono:

raccolte da fonti organizzative, normative, operative e documentali;
classificate per origine, rilevanza, affidabilità e aggiornamento;
collegate a rischi, obblighi, decisioni, controlli e responsabilità;
mantenute attraverso registri, cataloghi, matrici e KPI;
validate mediante verifiche di coerenza, completezza e tracciabilità;
utilizzate per motivare decisioni, priorità, raccomandazioni e azioni correttive.

L’obiettivo non è produrre documentazione formale fine a sé stessa, ma costruire una base probatoria capace di sostenere audit, governance, controllo e decisioni executive.

10. Collegamenti

11. QEN Framework

Il QEN Framework non costituisce il prodotto acquistato dal cliente. È il metodo proprietario che rende il servizio strutturato, misurabile e verificabile.

Il Framework abilita:

governance di ruoli, responsabilità e controlli;
misurazione mediante KPI e modelli di maturità;
tracciabilità delle fonti e delle decisioni;
raccolta e validazione delle evidenze;
explainability e accountability;
mappatura normativa e supporto alla conformità;
indipendenza da piattaforme e fornitori tecnologici.

Il valore del Framework emerge nei risultati prodotti dal servizio: decisioni più affidabili, rischi più leggibili, evidenze utilizzabili e responsabilità dimostrabili.

12. Documentazione tecnica

La sezione seguente conserva integralmente la specifica tecnica, metodologica e operativa originaria del servizio.

Sono mantenuti senza eliminazioni:

metodologia;
modelli;
algoritmi;
KPI;
tabelle;
tassonomie;
architetture;
dipendenze;
riferimenti normativi;
esempi;
evidenze;
appendici;
note architetturali.

AI Governance Strategy

Service ID

CS-007

Family

Enterprise Advisory Services

Maturity Level

Advanced

Executive Summary

The AI Governance Strategy service supports organizations in defining a structured, measurable and sustainable governance model for the adoption, management and continuous evolution of Artificial Intelligence.

Rather than focusing on isolated compliance activities or individual AI solutions, the service establishes an enterprise-wide governance strategy aligned with business objectives, regulatory requirements and organizational risk appetite.

The engagement translates governance principles into an actionable strategic roadmap that defines decision-making processes, organizational responsibilities, governance policies, accountability mechanisms and measurable objectives for AI initiatives.

The strategy is developed according to the Cognitive Logic Sovereign Intelligence Architecture and exclusively leverages the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence as the foundation for governance decisions.

The resulting governance strategy enables executive leadership to progressively mature AI governance capabilities while ensuring transparency, explainability, traceability and continuous alignment with evolving regulatory and business requirements.

Business Problem

Many organizations adopt Artificial Intelligence through isolated initiatives driven by individual business units, technology teams or external vendors without establishing a coherent governance strategy.

This fragmented approach often produces inconsistent decision-making processes, unclear accountability, duplicated investments, unmanaged regulatory exposure and limited visibility into the organization's overall AI landscape.

As AI adoption expands across multiple business functions, the absence of a unified governance strategy increases operational complexity and reduces the organization's ability to align AI initiatives with corporate objectives, enterprise risk management and long-term business value.

Organizations also face increasing expectations from regulators, customers, investors and governing bodies to demonstrate that AI systems are governed through transparent, explainable and measurable processes supported by documented governance structures.

Without an enterprise AI governance strategy, organizations risk treating governance as a reactive compliance exercise rather than as a strategic management capability capable of supporting sustainable innovation, executive decision-making and organizational resilience.

The AI Governance Strategy service addresses these challenges by providing a structured strategic framework that integrates governance principles, organizational responsibilities, measurable objectives and continuous improvement mechanisms according to the Cognitive Logic Sovereign Intelligence Architecture, relying exclusively on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence.

Customer Value

The AI Governance Strategy service enables organizations to transform AI governance from a collection of isolated compliance activities into a strategic enterprise capability that supports long-term business growth, executive decision-making and organizational resilience.

By defining a clear governance vision, organizations establish a common operating model that aligns business objectives, governance responsibilities, risk management and regulatory expectations across all AI initiatives.

The service provides executive leadership with a structured roadmap for progressively maturing AI governance capabilities while ensuring that governance decisions remain transparent, explainable, measurable and aligned with organizational priorities.

A well-defined governance strategy improves coordination between executive management, business units, technology teams, legal, compliance, risk management and internal control functions, reducing duplication of effort and strengthening organizational accountability.

The strategic framework also facilitates consistent governance policies, standardized decision-making processes and continuous monitoring mechanisms capable of supporting future regulatory evolution without requiring fundamental changes to the governance model.

Developed according to the Cognitive Logic Sovereign Intelligence Architecture, the service exclusively relies on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence, ensuring that governance strategies remain fully aligned with Cognitive Logic's Sovereign Intelligence principles.

Target Customer

The AI Governance Strategy service is designed for medium-sized organizations, large enterprises, public sector institutions and regulated organizations that require a structured governance framework for the strategic adoption and long-term management of Artificial Intelligence.

The service is particularly suited for organizations that have already initiated AI adoption or are planning enterprise-wide AI programs requiring executive oversight, governance coordination and measurable governance objectives.

Typical stakeholders include Boards of Directors, Chief Executive Officers, Chief Information Officers, Chief Digital Officers, Chief Risk Officers, Chief Compliance Officers, Data Protection Officers, AI Governance leaders, Enterprise Architects, Digital Transformation teams, Internal Audit functions and Governance, Risk and Compliance departments.

The service is especially valuable for organizations operating in regulated sectors where governance transparency, decision traceability, accountability and regulatory readiness constitute essential business requirements.

Organizations seeking to establish a long-term AI governance operating model aligned with corporate strategy, enterprise risk management and continuous regulatory evolution represent the primary beneficiaries of this advisory engagement.

The service is technology-independent and focuses exclusively on governance strategy, organizational operating models, decision frameworks and executive governance capabilities according to the Cognitive Logic Sovereign Intelligence Architecture, leveraging only the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence.

Prerequisites

The AI Governance Strategy service does not require the organization to have an existing AI governance framework. However, executive sponsorship and organizational commitment are essential to ensure the successful definition of a sustainable governance strategy.

Prior to the engagement, the organization should identify the primary executive stakeholders responsible for AI adoption, governance, compliance, risk management and business transformation.

Where available, existing governance policies, AI-related documentation, enterprise strategies, digital transformation initiatives, regulatory assessments, organizational charts and risk management documentation should be made available to facilitate the strategic assessment.

The organization should also provide visibility into current and planned AI initiatives, governance responsibilities, decision-making processes and organizational structures in order to establish an accurate governance baseline.

The service does not require the implementation of specific technologies, AI platforms or software solutions, as the engagement remains entirely focused on governance strategy, organizational capabilities and executive decision frameworks.

All strategic assessments are conducted according to the Cognitive Logic Sovereign Intelligence Architecture and exclusively rely on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence throughout the advisory process.

Required Inputs

The AI Governance Strategy service requires the collection and analysis of organizational information necessary to establish an accurate understanding of the current governance landscape and the strategic objectives for Artificial Intelligence adoption.

Typical inputs include the organization's business strategy, digital transformation roadmap, AI strategy (where available), governance policies, enterprise architecture documentation, organizational structure, operating model, risk management framework and regulatory compliance documentation.

Additional inputs may include inventories of AI initiatives, AI use case portfolios, governance committees, internal policies, decision-making processes, project documentation, internal control frameworks, audit reports and previous governance assessments.

Interviews and workshops with executive leadership, business owners, technology teams, governance functions, compliance representatives, risk managers and other relevant stakeholders constitute an essential source of qualitative information supporting the strategic assessment.

Where available, performance indicators, governance metrics, maturity assessments and strategic planning documentation are incorporated to evaluate governance capabilities and identify long-term improvement opportunities.

All collected information is evaluated according to the Cognitive Logic Sovereign Intelligence Architecture and exclusively processed through the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence to ensure a transparent, explainable and evidence-based governance strategy.

Activities

The engagement follows a structured advisory methodology designed to define a comprehensive AI governance strategy that aligns organizational objectives, governance capabilities, regulatory expectations and long-term business priorities.

The service begins with an executive discovery phase aimed at understanding the organization's strategic vision, AI ambitions, governance maturity, decision-making model and enterprise operating context.

A comprehensive assessment of the existing governance landscape is then performed to identify current governance structures, organizational responsibilities, decision authorities, AI initiatives, internal policies, governance processes and strategic dependencies across business functions.

Based on the assessment findings, Cognitive Logic designs a target AI Governance Strategy that defines governance principles, executive accountability, organizational roles, governance committees, operating model, decision-making processes, policy architecture and governance objectives aligned with corporate strategy.

The engagement also defines governance maturity targets, implementation priorities, measurable strategic objectives and a phased governance roadmap supporting progressive organizational adoption and continuous improvement.

Where appropriate, governance capabilities are mapped against applicable regulatory expectations, enterprise risk management objectives, organizational resilience requirements and business transformation initiatives to ensure long-term sustainability.

Throughout the engagement, strategic decisions are validated through documented analysis, executive workshops and evidence-based governance discussions that promote organizational alignment and executive ownership.

All advisory activities are conducted according to the Cognitive Logic Sovereign Intelligence Architecture and exclusively leverage the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence to ensure transparent, explainable and strategically consistent governance outcomes.

Outputs

The AI Governance Strategy service produces a structured set of strategic outputs that enable executive leadership to establish, govern and continuously evolve Artificial Intelligence according to clearly defined governance principles and measurable organizational objectives.

The primary output is an enterprise AI Governance Strategy that defines the target governance vision, strategic priorities, governance operating model, executive responsibilities, organizational accountability and long-term governance objectives.

The engagement also produces a governance maturity assessment, a strategic gap analysis, governance capability recommendations and a prioritized implementation roadmap that supports progressive adoption across the organization.

Additional outputs include governance principles, executive decision frameworks, governance policy recommendations, organizational governance structures, governance committee recommendations and strategic governance responsibilities aligned with enterprise operating models.

Where appropriate, the service identifies governance risks, organizational dependencies, strategic constraints and improvement opportunities that may influence the long-term evolution of AI governance capabilities.

All outputs are fully documented, evidence-based and developed according to the Cognitive Logic Sovereign Intelligence Architecture, exclusively leveraging the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence to ensure transparency, explainability and strategic consistency.

Deliverables

The AI Governance Strategy service delivers a comprehensive set of executive-level governance artifacts designed to support strategic decision-making, governance implementation and long-term organizational maturity.

The primary deliverable is the AI Governance Strategy Report, documenting the target governance vision, strategic objectives, governance operating model, organizational responsibilities, governance principles and executive recommendations.

Supporting deliverables include the Governance Maturity Assessment, Strategic Gap Analysis, Governance Roadmap, Governance Operating Model, Governance Roles and Responsibilities Matrix and Executive Governance Recommendations.

Where appropriate, the engagement also produces governance policy recommendations, governance committee structures, implementation priorities, governance capability improvement plans and executive presentation material supporting stakeholder alignment.

All deliverables are prepared as professional management documentation suitable for executive review, strategic planning and governance decision-making.

Every deliverable is developed according to the Cognitive Logic Sovereign Intelligence Architecture and exclusively based on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence, ensuring complete transparency, explainability and strategic consistency throughout the engagement.

KPI

The effectiveness of the AI Governance Strategy service is evaluated through measurable governance outcomes demonstrating the organization's ability to establish, implement and continuously improve enterprise AI governance.

Typical Key Performance Indicators include:

Executive approval of the AI Governance Strategy.
Definition of a documented enterprise AI governance operating model.
Establishment of governance roles, responsibilities and accountability.
Completion of the governance maturity assessment.
Identification and prioritization of strategic governance initiatives.
Development of an approved AI Governance Roadmap.
Alignment between AI governance objectives and business strategy.
Executive adoption of governance decision-making processes.
Identification of governance capability improvement opportunities.
Stakeholder alignment across governance, business and technology functions.
Readiness for future regulatory evolution.
Establishment of measurable governance objectives and monitoring mechanisms.

All KPI definitions are evaluated according to the Cognitive Logic Sovereign Intelligence Architecture and exclusively rely on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence, ensuring objective, transparent and explainable measurement of governance maturity.

Estimated Duration

The estimated duration of the AI Governance Strategy service depends on the organization's size, governance maturity, organizational complexity, number of business functions involved and the scope of AI initiatives under consideration.

A typical engagement is completed within six to ten weeks, including executive interviews, governance assessment activities, strategic workshops, governance model definition, roadmap development and final executive presentation.

Organizations with highly distributed governance structures, multinational operations or complex regulatory environments may require additional assessment activities to ensure comprehensive strategic alignment.

The engagement follows a phased advisory approach that enables progressive validation of strategic findings with executive stakeholders throughout the project lifecycle, ensuring continuous alignment and governance ownership.

Project timelines are agreed during the engagement planning phase and may be adjusted according to organizational priorities, stakeholder availability and governance scope without compromising the methodological consistency of the service.

Dependencies

The AI Governance Strategy service depends on the active participation of executive leadership and the availability of organizational information required to establish a comprehensive governance baseline.

Successful execution requires collaboration between business leadership, governance functions, technology management, risk management, compliance, legal representatives and other stakeholders responsible for AI adoption and organizational transformation.

The engagement also depends on access to relevant governance documentation, strategic planning material, organizational structures, enterprise policies, AI initiative inventories and governance processes that support the strategic assessment.

Where governance documentation is incomplete or organizational responsibilities are still evolving, the service incorporates executive workshops and structured interviews to develop a shared understanding of governance priorities and future operating models.

The service is independent of specific AI technologies, software vendors or implementation platforms and focuses exclusively on governance strategy, organizational decision-making and enterprise governance capabilities.

All dependencies are evaluated according to the Cognitive Logic Sovereign Intelligence Architecture and exclusively supported by the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence, ensuring methodological consistency throughout the engagement.

Cross-selling Opportunities

The AI Governance Strategy service frequently represents the strategic entry point for broader enterprise AI governance initiatives and may naturally lead to additional advisory engagements.

Organizations defining an enterprise AI governance strategy often benefit from complementary services such as AI Governance Assessment, AI Act Readiness Assessment, Knowledge Governance Assessment and Knowledge Discovery to establish a comprehensive governance baseline and support evidence-based strategic decision-making.

Depending on organizational priorities, the engagement may also identify opportunities to strengthen governance through Knowledge Graph design, Explainability and Traceability frameworks, AI Governance operating procedures and governance maturity improvement initiatives.

These complementary services enable organizations to progressively transform strategic governance objectives into measurable governance capabilities while maintaining methodological consistency across the Cognitive Logic Enterprise Service Catalogue.

All cross-selling opportunities remain fully aligned with the Cognitive Logic Sovereign Intelligence Architecture and continue to rely exclusively on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence.

Up-selling Opportunities

Following the definition of an enterprise AI Governance Strategy, organizations frequently require long-term governance support to operationalize strategic objectives and continuously improve governance maturity.

Typical follow-on engagements include enterprise AI Governance Program implementation, Governance Operating Model development, Knowledge Graph architecture, Explainability and Decision Traceability frameworks, executive governance advisory, governance maturity monitoring and continuous governance improvement programs.

Organizations operating in regulated sectors may also extend the engagement through recurring AI governance reviews, executive governance reporting, regulatory readiness assessments and governance assurance activities designed to support sustainable compliance and executive accountability.

These advanced advisory services progressively transform governance strategy into an operational governance capability supported by measurable indicators, evidence-based decision-making and continuous organizational improvement.

All up-selling opportunities remain fully aligned with the Cognitive Logic Sovereign Intelligence Architecture and continue to rely exclusively on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence.

Future Evolution

The AI Governance Strategy service is designed to evolve alongside organizational governance maturity, regulatory developments and emerging enterprise AI governance practices.

Future evolutions of the service will progressively incorporate new governance methodologies, executive decision support models, governance maturity benchmarks and additional evidence-based governance indicators while preserving methodological consistency across the Cognitive Logic Enterprise Service Catalogue.

As organizations expand the adoption of AI across business functions, the service may also evolve to support enterprise-wide governance operating models, continuous governance measurement, strategic governance observatories and executive governance reporting capabilities.

The service will continue to align with applicable regulatory frameworks, recognized governance standards and enterprise governance best practices, ensuring that governance strategies remain sustainable, measurable and adaptable to future organizational needs.

All future evolutions will remain fully aligned with the Cognitive Logic Sovereign Intelligence Architecture and will continue to rely exclusively on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence.

Evidence Sources

The AI Governance Strategy service is supported by verifiable evidence collected throughout the engagement and by authoritative governance sources that enable transparent and evidence-based strategic decision-making.

Evidence may include organizational governance documentation, executive interviews, governance policies, strategic planning documentation, AI initiative inventories, governance maturity assessments, risk management documentation and other information validated during the advisory process.

The service methodology is further supported by applicable regulatory frameworks, internationally recognized governance standards, Cognitive Logic research, the QEN Framework methodological principles and the Cognitive Logic Enterprise Service Catalogue.

All strategic recommendations are generated according to the Cognitive Logic Sovereign Intelligence Architecture and rely exclusively on the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence, ensuring complete methodological traceability and governance consistency.

No external AI provider constitutes a decision source within the methodology adopted by this service.

Architectural Notes

The AI Governance Strategy service is an integral component of the Cognitive Logic Enterprise Service Catalogue and is designed according to the principles of the Cognitive Logic Sovereign Intelligence Architecture.

The service supports executive decision-making through structured governance methodologies, measurable governance models and evidence-based strategic recommendations, ensuring transparency, explainability and organizational accountability.

The methodology is technology-independent and does not rely on external AI providers as decision sources. Strategic recommendations are generated exclusively through the Cognitive Logic Sovereign Intelligence Architecture by combining the QEN Sovereign Engine, Governance Engine, Knowledge Graph, EVIDE, proprietary algorithms, intelligible data and verifiable evidence.

The service is designed to integrate consistently with other Enterprise Services, enabling organizations to establish a coherent AI Governance ecosystem that supports regulatory readiness, governance maturity and continuous organizational improvement.

This specification represents the authoritative architectural baseline for CS-007 within the Commercial Evolution 1.0 programme and shall be maintained in alignment with future approved architectural decisions, governance methodologies and Enterprise Service Catalogue evolutions.