Researchers
VETPOC Labs is Virtual Enterprise Trust, Policy, Oversight & Conscience, the research program Arun V. Kadambi leads on institutions for AI-generated software change.
Research lead
Research lead of VETPOC Labs, and a PhD student in Information Science at the University of North Texas.
He studies how an enterprise can govern software changes that AI agents propose: which acts may be allowed, who has authority to make an exception, and which decisions should bind the next case. The two instruments in the program are Enterprise Conscience, a policy gate, and Digital Judiciary, a framework for contested decisions.
The dissertation named in the program materials is The Digital Judiciary: A Framework for Governing AI-Produced Code Changes and AI-Made Decisions. A related preprint with Venkat Kuppuswamy is The Digital Judiciary: Binding Precedent for Automated Compliance Decisions.
Experience
A global technology and R&D leader, he has scaled enterprise infrastructure and built high-performing, multidisciplinary teams. The through-line is AI-driven automation used to modernize complex, mission-critical environments.
Broadcom · current
He sets the technical strategy for the AIOps and Workload Automation business and leads a multidisciplinary organization of global teams. The aim is to move enterprise customers onto predictive intelligence and agentic automation. His public LinkedIn headline also places observability in this portfolio.
Division CIO
He drove a large-scale modernization of mainframe software ecosystems, moving them off traditional manual intervention and onto automated self-service architectures. The biography does not name the employer for this role.
CA Technologies
He led the development and launch of an autonomous anomaly-detection platform for mainframe environments.
Oxygen Finance
Executive lead for product incubation.
E2open
Executive lead for product incubation. He conceptualized a data-driven Supply Chain Control Tower cloud solution, and he directed a global cloud collaboration center that supported subscription revenue growth.
From the biography he supplied. Observability is also named in his LinkedIn headline. That profile is not the source for the other roles or the degrees below.
Education
Degrees and honors below are from the biography he supplied. The doctoral enrollment is the affiliation already stated in the program materials, and it is separate from VETPOC Labs.
University of North Texas · doctoral study
Doctoral study, separate from VETPOC Labs.
The University of Texas at Austin
The University of Texas at Dallas
College of Engineering, Guindy
Collaborators
These are the collaborators already named on the program site. This page does not add biographies, offices, or contact addresses for them, and it does not add other researchers.
Roles are as stated in the November 2026 program site.
The program
Which agent actions may an enterprise ever allow, and for what reasons? Who has authority to grant exceptions? Which decisions should bind the next case, and what does that choice do to the record?
Formal models of precedent and permission, working software, preregistered simulations with computed ground truth, analysis of legal corpora, and practitioner surveys. Several of those pieces are still manuscripts. The evidence page separates what is calibration from what is pending.
The program site says the questions, frameworks, designs, and decisions are the authors’, and that AI tools assist with drafting, literature search, and code under the authors’ direction, with that use declared in each paper.
Contact
Practitioners who govern AI-assisted software delivery, legal scholars working on precedent and contestability, and researchers interested in replication or extension can write. There is no form on this site, no mailing list, and no analytics. The research address is the one already published in the program materials.
A conversation is not a deployment. The prototypes are not offered as a control for a production pipeline.