Title: Leveraging the CIGET Framework for Effective Agentic AI System Governance. A Universal Toolkit for Trustworthy deployment in digitally resilient societies

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Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22881581
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
Controls
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preprint

Title: Leveraging the CIGET Framework for Effective Agentic AI System Governance. A Universal Toolkit for Trustworthy deployment in digitally resilient societies

Anurag Mittal
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Title: Leveraging the CIGET Framework for Effective Agentic AI System Governance. A Universal Toolkit for Trustworthy deployment in digitally resilient societies

Anurag Mittal
preprint en

Abstract

Abstract Title: Leveraging the CIGET Framework for Effective Agentic AI System Governance.A Universal Toolkit for Trustworthy deployment in digitally resilient societies As Agentic AI becomes a primary driver of enterprise innovation, organizations face a critical demand for robust governance to mitigate the risks of deploying opaque or unmonitored autonomous agents. Despite the rapid adoption of AI, research indicates a significant "governance gap": while 82% of organizations currently utilize AI agents, only 44% have established policies to secure them. This lack of oversight contributes to a staggering 95% failure rate for AI projects reaching production, largely due to poor integration, lack of measurable ROI, and misaligned use cases. This paper explores the CIGET framework (Connectivity, Infrastructure, Governance, Environmental impact/Sustainability, and Technologies) as a comprehensive, cost-optimized solution for managing the ethical and compliance challenges of Agentic AI. Specifically, the research dives into the "G" (Governance) pillar, positioning it not as a barrier, but as an "Innovation Accelerator" that streamlines deployment and builds trust. The CIGET framework provides a holistic, life-cycle-based "omnibus" approach to help public and private entities align AI initiatives with strategic objectives while navigating an increasingly complex regulatory landscape, including the EU AI Act, EU Omnibus package (Digital Laws), ISO AI standards, Privacy Laws, Audit, Accounting Standards . Utilizing a desktop literature review supplemented by the "Trunk and Branch" methodology, this study assesses commonalities across existing standards such as COSO, COBIT, World Economic Forum, Institute of Management Accountants, Jurisdiction specific AI Governance frameworks ( Singapore), the Institute of Internal Auditors Al Auditing Framework, IAPP . The findings emphasize that urgent, fit-for-purpose harmonized AI governance is required to facilitate Ethical use of AI tools across domains, sectors, jurisdictions, products and services and to mitigate costs of compliance ( pre-emption of duplication by synergy between overlapping, complementary “As Is” laws like GDPR, DORA, Cyber Resilience Act ). The paper concludes by offering a practical CIGET toolkit (focused on Pillar – G : Governance) providing first ever Universal Applied AI Compliance package comprising Risk Control Matrix, Sample Selection, Controls Testings, Remediations, Re-Testing ) designed to institutionalize AI in a trustworthy manner, ensuring that agentic solutions deliver measurable value and sustainable long-term growth in a transparent, accountable, traceable, auditable governance environment. Keywords: CIGET Framework, Agentic AI Governance, EU AI Act, AI Risk Management, AI Accountability, Digital Transformation, EU Omnibus Package, IFRS , ISO Standards, Audit COSO, COBIT, IMANET, AMA, ISACA, OECD, UNESCO, WEF Frameworks.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Ethics and Social Impacts of AI
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