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RAKTIM SINGH

Infosys (India), IIT BHU

ORCID iD 0009-0002-6207-602X
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About

Raktim Singh is a technology strategist, enterprise AI thinker, systems architect, and author working at the intersection of artificial intelligence, institutional systems, enterprise architecture, governance, and machine-legible reality.

His work focuses on understanding how AI systems are transforming not only software and automation, but also representation, coordination, legitimacy, decision-making, and institutional participation across enterprises and society. His research explores the idea that the next phase of the AI economy will be shaped not merely by larger models or computational scale, but by the ability of organizations to build trustworthy, governed, and continuously evolving representations of reality.

He is the creator of the Representation Economy framework, a conceptual architecture describing how value creation in the AI era increasingly depends on visibility, representation fidelity, contextual continuity, institutional trust, and governed execution. His work argues that organizations, platforms, governments, and AI systems will increasingly compete based on their ability to represent entities, relationships, states, permissions, workflows, and evolving institutional context more accurately and responsibly.

Raktim is also the creator of the SENSE–CORE–DRIVER framework, a governance and institutional architecture for understanding enterprise AI systems and autonomous operational infrastructure.

The framework consists of three interconnected layers:

SENSE — the machine-legible representation layer responsible for transforming fragmented institutional signals into structured and evolving visibility through Signal, ENtity, State representation, and Evolution.

CORE — the cognition and reasoning layer responsible for contextual understanding, optimization, orchestration, adaptation, and decision-making.

DRIVER — the governance and execution layer responsible for Delegation, Representation, Identity, Verification, Execution, and Recourse within autonomous systems.

His work emphasizes that enterprise AI should not be understood purely as a model or automation problem. Sustainable AI systems require strong representation architecture, institutional continuity, contextual integrity, governance-by-design, and identity-bound execution systems capable of operating responsibly inside complex organizations.

His research and writing explore themes including enterprise AI governance, institutional AI systems, autonomous enterprise architecture, representation infrastructure, AI-native operating models, governed execution systems, representation continuity, AI legitimacy, machine-legible reality, and AI-driven institutional transformation.

Raktim’s work bridges enterprise technology strategy, systems thinking, governance theory, organizational design, and emerging AI infrastructure models. His frameworks are intended not as compliance checklists, but as conceptual architectures for understanding how institutions will operate in environments increasingly shaped by autonomous intelligence systems and AI-mediated coordination.

He actively publishes across open research and scholarly ecosystems including ResearchGate, Zenodo, OSF (Open Science Framework), Figshare, HAL Open Science, Academia.edu, PhilArchive, and GitHub. His public work spans enterprise AI governance, AI infrastructure, institutional systems, representation systems, and emerging organizational architectures.

Raktim Singh has been associated with enterprise technology and digital transformation initiatives for decades and has worked extensively in areas related to enterprise systems, financial technology, governance, and emerging technologies. He is also the author of the book *Driving Digital Transformation*, published internationally.

Website: [www.raktimsingh.com](http://www.raktimsingh.com)
ORCID: 0009-0002-6207-602X
GitHub: github.com/raktims2210-dev/representation-economy
LinkedIn: linkedin.com/in/raktimsingh

Employment

  • Infosys (India) Senior Industry Principal
    1995 - Present

Education

  • IIT BHU B.TECH
    1991 - 1995

Projects & Funding

Projects & funding information is unavailable.

Publications (13)