The voices behind Intelligent Systems Press.
V. Quan Lee and J. Kay bring nearly six decades of combined experience in QA, business analysis, requirements discovery, process improvement, enterprise transformation, Agile, DevOps, governance, and full lifecycle software delivery.
Systems perform best when clearly understood, intentionally designed, and continuously improved.
V. Quan Lee and J. Kay are the authors and enterprise process thinkers behind Intelligent Systems Press. Together, they bring nearly six decades of combined experience across software quality assurance, business analysis, requirements discovery, process improvement, enterprise transformation, Agile delivery, DevOps modernization, testing strategy, governance, and full lifecycle software development. Their work spans government, defense, intelligence, healthcare information systems, banking, e-commerce, airline, lottery, and enterprise technology environments.
GUIDING PRINCIPLE
Clearly understood.
Intentionally designed.
Continuously improved.
Senior QA • Process Improvement • Enterprise Delivery
A software quality assurance and process improvement professional with 23+ years of testing, QA leadership, SDLC process implementation, test strategy, Agile delivery, CI/CD support, traceability, defect management, and enterprise system modernization experience. His work includes federal, defense, intelligence, and large-scale enterprise environments, including modernization initiatives, go-live support, test strategy, UAT, automation support, API testing, AWS, Azure DevOps, Jenkins, Jira, Confluence, TFS, Tosca, Telerik, Postman, and full lifecycle QA governance. His earlier IPI books helped shape the Process Intelligence philosophy from real delivery trenches.
Business Analysis • Instruction • Process Improvement
A public speaker, technical author, instructor, business analysis professional, and process improvement practitioner with more than two decades of experience helping organizations improve requirements clarity, analysis, communication, and full lifecycle delivery. A Computer Science graduate of Bowling Green State University of Ohio, she has worked across hospital information systems, banking, e-commerce, lottery, airline, and government environments. Her background includes Agile, Scrum, RAD, waterfall, UML, workflow automation, CMMI, business analysis, data analysis, project/program management, testing, and training through B2TTraining.com with professional ties to IIBA, PMI, and SPIN.
The Intelligent Systems Press philosophy was born from practical experience across years of software projects, transformation efforts, testing events, process improvement initiatives, and requirements conversations. The authors saw the same pattern repeat: teams worked hard, tools improved, frameworks changed, and delivery methods evolved, but the underlying enterprise system often remained misaligned. Agile helped teams move faster. DevOps improved delivery pipelines. AI introduced new speed and automation. Yet organizations still struggled when requirements were unclear, handoffs were broken, ownership was fragmented, and metrics became decorative. Their core message is simple: transformation fails when organizations improve parts without understanding the whole.
PROCESS INTELLIGENCE CONNECTS PEOPLE, PROCESSES, TECHNOLOGY, AND OUTCOMES.
Built from lived delivery experience for readers who want clarity, alignment, accountability, and practical transformation.