HoangTrong·5d agoLoop Engineering: Building AI Agents That Improve Over TimeMaking an AI agent work is easy, making it reliable is not. This article explores four loops (Agent, Verification, Event-Driven, and…
InTowards AIbyHadil Salah·Oct 15Lessons Learned from Designing Enterprise AI Enablement Program Across OrganizationsThe more organizations I worked with, the more I realized that effective AI enablement programs sit at the intersection of several thingsA response icon1A response icon1
Gina Shaw·Sep 1Beyond the AI Pilot: What It Takes to Scale Enterprise AIMost enterprises have already proved that AI can work.
Kirk Laughead·Aug 5Why Wouldn’t It Make That Better?On the Directed User Interface, agents and the difference between milk and chocolate milk
The Hackett Group®·Jul 22The agentic enterprise: Why AI agents are becoming the new digital workforceFor the past two years, enterprise AI conversations have largely focused on chatbots and generative AI. Organizations have experimented…
Adnan Masood, PhD.·Apr 24From AI Hype to Enterprise DisciplineA strategic review of Dr. Adnan Masood’s 2025–2026 thought leadership on AI economics, sovereign architectures, agentic systems, and…
Raju Penmatcha·Apr 13Stop Treating AI Agents Like Chatbots: A Practical Blueprint for Enterprise ArchitecturesMost “AI agent” projects start the same way: a slick demo, a promising pilot, and then… trouble.
Mikhail Gorelkin·Jan 15A Complete AI-Driven Architecture for Enterprise Agentic SystemsA Unified Architecture for Cognitively-Augmented and Autonomous Agentic AI Systems
