For more than a decade, enterprise architect Abhijeet Mukkawar has built his reputation on solving one of the toughest challenges large organizations face: modernizing heavily customized legacy systems without disrupting the business, and preparing those systems to benefit from artificial intelligence in ways that keep people at the center. Today, Mr. Mukkawar is widely recognized as a dynamic IT/OT leader whose work spans Information Systems and ERP landscapes, industrial operations, low-code platforms, Information Security and AI-driven decision-making for complex global enterprises.
Abhijeet’s modernization story began in the SAP ecosystem, working in the SAP NetWeaver space at Infosys in Pune and sharing technical know-how with the SAP Community. In a “Blog It Forward” feature on SAP.com, he described how his role enabled him to “resolve lots of business complexities using IT enablement,” a theme that has defined his career as he translated intricate integration and process issues into workable architectures. SAP’s May 2013 Spotlight on SAP NetWeaver Process Orchestration and BPM highlighted content authored by him among material from other recognized experts, signaling early peer-level recognition of his contribution to process-orchestration-driven modernization.
Mr. Mukkawar now applies that foundation to full-scale transformation programs. In “Embrace Mendix Low-Code for Your S/4 HANA Transformations,” he outlines a disciplined “core and extension” model that keeps the SAP ERP core clean while moving custom logic to a low-code extension layer, allowing organizations to modernize without recreating the same tangle of customizations that slowed them down in the past. He extends this thinking across platforms in his AWS contribution for transforming cold-chain logistics process with Environmental and Economic Goals,” co-authoring a reference architecture that combines Mendix low-code, AWS IoT and AI/ML services to monitor temperature-sensitive goods in real time, reduce waste and improve safety in cold-chain logistics.
As Abhijeet’s responsibilities have expanded into broader IT/OT and enterprise architecture roles, his public commentary has shifted from purely technical patterns to the human impact of AI-enabled change. In CIO’s article as a contributor “The AI revolution isn’t about technology – it’s about people,” he is presented as a leader with more than two decades of experience across ERP modernization, industrial operations and cloud architectures, and he uses that platform to argue that AI creates real value only when organizations redesign work, governance and culture, rather than simply layering new tools onto old processes.
Mr. Mukkawar has deepened this human-centric perspective through contributions to the Forbes Technology Council, where he has written about both the promise and systemic risks of enterprise AI. In his Forbes article “AI: Cybersecurity’s Greatest Asset and Its Most Dangerous Threat,” he explains how the same AI techniques that help security teams sift through massive telemetry and reduce false positives can be weaponized to industrialize phishing, accelerate vulnerability discovery and tailor attacks at machine speed, creating a dual obligation for leaders to design adaptive, people-aware security programs. In a later Forbes piece on Agentic AI, Abhijeet warns that much of today’s work in this area assumes idealized enterprises with clean data and simple processes; drawing on his experience with SAP, OT and legacy environments, he argues that robust AI agents must be built for messy, heterogeneous systems and must support, not sideline, the people who keep those systems running.
In parallel with his industry work, Abhijeet has also contributed to academic conversation through peer-reviewed publications and formal review roles. Recognizing his expertise, he has been invited to serve on technical and judging committees for various IEEE and Springer conferences, as well as a dedicated reviewer for the IEEE Access journal, underscoring that peers in both academia and industry rely on his judgment to evaluate cutting-edge work in the field.
Across these contributions, Mr. Mukkawar returns to a consistent idea: modernization should reduce, not merely shift, complexity. Whether advising on Legacy modernization, designing low-code extensions around ERP cores or architecting AI-augmented cold-chain solutions on AWS, Abhijeet emphasizes disciplined platform choices and clear separation of concerns so that enterprises can standardize technology layers, expose stable interfaces and then safely layer AI on top. His published work makes clear that, in his view, success is measured less by the number of new technologies deployed and more by whether business users, engineers and operators experience simpler, safer and more empowering ways of working.
About Abhijeet Mukkawar:
Abhijeet Mukkawar is a dynamic IT/OT leader with more than two decades of experience guiding complex enterprise transformations across multiple industries. An eCornell-certified digital transformation professional and PerplexityAI business fellow, he works at the convergence of information and operational technology, helping organizations unlock the value of ERP, cloud, cybersecurity, AI/ML, IoT and emerging Web3 capabilities. A senior IEEE member and active contributor, he has authored research articles, widely read technical pieces on transformation and modernization, and regularly shares practical insights with the broader engineering community.
