Kim Launches Enterprise AI Execution Layer
Kim, the company created by legal tech and ALSP pioneer Karl Chapman, has launched an execution layer for enterprises that ‘translates AI-generated requests into deterministic …
Enterprise AI
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Ravi Teja Alchuri — Engineering Trustworthy AI for Production-Scale Fleet Systems
Executive Summary. Ravi Teja Alchuri explains why deploying AI in fleet telematics platforms requires architectural discipline, governance guardrails, and systems trust to operate reliably at production scale. Fleet telematics platforms represent one of the most demanding environments for operational AI. Systems must ingest high-frequency telemetry from tens of thousands of moving assets, maintain reliability across
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Jeff Fettes — Why Most CX AI Pilots Fail at Scale
Executive Summary. Jeff Fettes argues that the real challenge in customer experience AI is not building smarter models but defining clear operational boundaries for what AI agents are allowed to do. Customer experience operations are emerging as a proving ground for enterprise AI. Yet many initiatives stall when pilot projects meet the complexity of real-world
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Glen Tullman — Consumer-Directed Care and the Rise of AI-Powered WayFinding in Healthcare
Executive Summary. As healthcare grows more fragmented and costly, Transcarent CEO Glen Tullman explains why consumer-directed platforms powered by generative AI are emerging as the next structural shift. He outlines how WayFinding moves from search to agentic action, why aligned incentives matter more than added features, and how responsible automation must keep clinicians firmly in
Casey Hite — Engineering Predictable Access in AI-Driven Healthcare Operations
Executive Summary. Casey Hite explains how fragmented insurance workflows are becoming the proving ground for AI in healthcare operations, and why real-time validation, disciplined automation, and governance-first design are essential to improving patient access without eroding trust. As healthcare organizations scale, administrative complexity around insurance verification, approvals, and documentation continues to act as a hidden
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Planning for AI Induced Economic Volatility
Enterprise deployments of large language models and agentic workflows are shifting from experimental pilots to core infrastructure. In 2025, enterprises piloted AI. In 2026, they are going to production and, in 2027, they will scale. As organizations go to production, the company focus is on operational efficiency and infrastructure cost optimization. However, enterprise leaders must
Nithin Mohan — Why AI Breakthroughs Depend on Supercomputing Discipline
Executive Summary. As enterprises race to adopt AI, HPE leader Nithin Mohan explains why infrastructure, not algorithms, is becoming the real constraint. He outlines how exascale computing, agentic system reliability, and distributed AI operations are redefining what it takes to move from impressive demos to economically viable production systems. As generative AI captures boardroom attention,
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Ethan Gustav — Building Always-On Fan Engagement Through Conversational AI
Executive Summary. As sports organizations shift toward year-round digital engagement, Infobip North America President Ethan Gustav explains how conversational AI, mobile messaging, and unified fan data are transforming teams from event-driven brands into always-on fan platforms. As fan expectations move toward continuous, personalized digital experiences, sports organizations are rethinking how they engage audiences beyond game
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Jim Wetekamp — Connected Risk Intelligence for the AI Enterprise
Executive Summary. As risk becomes faster and more interconnected, traditional periodic review models are breaking down. In this conversation, Riskonnect CEO Jim Wetekamp explains why enterprise risk management is emerging as a key proving ground for AI, and how integrated data, agent-based workflows, and governance-first design are shifting organizations from retrospective reporting to continuous risk
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Baran Ozkan — Building the Operating System for Financial Crime Compliance
Executive Summary. Baran Ozkan explains how AI-native systems, false-positive reduction, and workflow clarity are redefining how institutions scale regulated operations without losing audit defensibility. Financial crime compliance is moving from rule-heavy oversight to operational infrastructure. As fintech and banking systems scale in complexity, institutions are being forced to rethink how monitoring, investigations, and audit readiness
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