In this inaugural episode of Agentic AI Deep Dive, we take you beneath the surface of buzzwords and marketing slides—and straight into the engineering trenches where real Agentic AI is designed. If you’ve ever wondered how to go from "just a chatbot" to building an intelligent, autonomous AI system that can reason, act, and integrate seamlessly across enterprise workflows—this is your blueprint. From customer service agents to multi-agent orchestration frameworks, we unpack the foundational architecture, tooling, and design principles powering the new era of AI systems.
Evaluating Agentic AI: Turning Autonomous Decisions Into Measurable Business Impact How do you measure the performance of Agentic AI when it's not just automating clicks — it's making autonomous decisions across complex business processes? In this Auxiliobits podcast episode, we deep-dive into a practical blueprint — inspired by our VP of Delivery — on how to evaluate, benchmark, and build trust in AI agents operating in real-world enterprise environments.
What happens when AI stops being just a tool and starts acting like a teammate? In this episode, we dive into the concept of the augmented employee and the rise of agentic AI—intelligent systems that don’t just follow instructions but perceive, reason, act, and learn on their own. We explore how this shift is reshaping roles in the workplace, turning humans from task-doers into strategic overseers and collaborators.
Traditional automation has hit its limits—especially in complex, high-stakes industries like insurance. In this episode, we explore how Agentic AI is transforming core back-office functions, bringing reasoning, autonomy, and intelligence to workflows once buried in manual validation. From claims intake and adjudication to document processing and billing, discover how intelligent agents are accelerating cycle times by up to 70%, improving accuracy, and reshaping how humans and AI collaborate.
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