Skills
About
I am a technology executive and Founder of Thriven Advisory, where I serve as CTO and Chief AI Officer. I help organizations turn complex technology landscapes into scalable, AI-enabled operating models that improve efficiency, resilience, and business performance. My background spans enterprise technology strategy, enterprise applications, ERP and platform modernization, M&A IT integration, and executive-level transformation leadership across regulated, PE-backed, and growth-oriented environments. I am especially focused on AI enablement, workflow intelligence, and helping leaders move from fragmented systems to clearer, more scalable operating models. I enjoy bridging strategy and execution, translating complexity into practical solutions, and working with leadership teams that want to use technology to create measurable value.
Geetha Kumari Kommepalli
Published content
expert panel
AI observability is quickly becoming one of the most consequential shifts in enterprise AI—not because it adds more dashboards, but because it exposes how AI systems actually behave inside real business workflows. For executives, that visibility is both a breakthrough and a burden. It reveals model performance, data quality, user interaction patterns and system drift in real time, yet it often arrives in a form that is fragmented, technical and difficult to translate into decisions that matter at the board level.Organizations are rapidly scaling generative AI and machine learning systems across core operations, but many are struggling to operationalize oversight in a way that connects technical signals to measurable business outcomes. The result is a widening gap between AI capability and executive clarity—where systems are increasingly powerful, but not always understandable in business terms.Members of the Senior Executive AI Think Tank—a curated group of leaders in machine learning, generative AI and enterprise transformation—argue that the issue is not a lack of data. It is a lack of translation. AI observability, they note, only becomes strategically meaningful when organizations move beyond monitoring and toward decision-making frameworks that connect model behavior, risk signals and user impact directly to business KPIs.In the sections that follow, Think Tank members break down how organizations can close this gap in practice—from building operating models that turn observability into action, to identifying behavioral drift before it becomes business risk, to redefining governance so insights don’t remain trapped in technical teams. They also surface the most persistent obstacles executives face today—including signal overload, fragmented ownership and the absence of shared language between business and technical stakeholders—and offer concrete ways leaders can turn visibility into decisions that drive measurable value.
Company details
Triven Advisory
Company bio
Thriven was built from 24 years inside some of the most complex enterprise transformation programs - ERP implementations, M&A integrations, digital transformations, and AI automation rollouts. Across industries, the same failures kept repeating - undocumented processes, unclear ownership of master data, and governance that looked good on slides but failed in execution. The issue was rarely the technology itself. It was the gap between strategy and operational reality. That led to a simple question: if these problems repeat everywhere, why not build something designed to solve them differently? Thriven is the answer: an independent advisory practice and governance platform focused on helping organizations bring structure to complexity, improve accountability, and turn transformation into measurable business value.