In this episode, we explore the transformative upgrades to Microsoft Copilot, highlighting the introduction of autonomous AI agents, enhanced personalization features, and their profound impact on enterprise operations.

In this episode, we explore Graphite, an event-driven AI agent framework designed to help enterprises build responsive, real-time automation systems. Unlike traditional AI tools that rely on fixed triggers or manual inputs, Graphite enables agents to respond dynamically to events across systems—from user actions and system logs to API changes and business KPIs. We discuss how this approach unlocks a new level of context-aware, autonomous behavior, empowering businesses to streamline operations, detect issues early, and respond at machine speed. Whether you’re a CTO, platform engineer, or enterprise architect, this episode will show you how event-driven agentic AI is reshaping the automation landscape.

In this episode, we shine a light on the often-overlooked technical debt created by AI-generated code in agentic AI systems. While autonomous agents can rapidly write and execute code to automate workflows, the speed and scale come with hidden costs—such as inconsistent logic, poor documentation, and long-term maintainability risks. We explore how organizations can manage this debt, implement guardrails, and ensure code quality without sacrificing the agility that agentic AI brings. With insights on versioning, observability, and human-in-the-loop governance, this episode is essential listening for engineering leaders and architects deploying AI at scale.

In this episode, we explore Agentforce, Salesforce’s leap into the world of agentic AI, and what it means for the future of enterprise automation. We break down how Salesforce is integrating intelligent agents across its ecosystem to handle everything from lead qualification and pipeline management to customer support and campaign execution — autonomously. Learn how this shift is redefining CRM, streamlining workflows, and unlocking new levels of productivity for sales and marketing teams. We also discuss what this means for other enterprises: how to build or integrate agentic systems that adapt, learn, and act — with or without Salesforce. If you're in sales ops, RevOps, or enterprise tech, this episode is your roadmap to the AI-powered future of CRM.

In this episode, we explore how Saudi Arabia is rapidly emerging as a global tech hub through major investments in AI and strategic partnerships with U.S. companies like Nvidia and AWS. As part of its Vision 2030 goals, the kingdom is shifting from oil to innovation—building AI infrastructure, launching sovereign AI projects, and strengthening ties with U.S. tech leaders to reshape its economic future.

In this thought-provoking episode, we dive into the evolving philosophy behind building agentic AI—moving away from rigid scaffolding and handcrafted logic, and toward systems that learn, adapt, and scale on their own. Inspired by Richard Sutton’s Bitter Lesson, we explore why the most powerful AI systems rely less on human-designed shortcuts and more on general-purpose learning and computation. We discuss how this mindset shift impacts the design of AI agents, the trade-offs between control and autonomy, and what enterprises need to consider when scaling automation in real-world environments. If you're building or deploying AI at scale, this episode offers deep insight into the why behind the how.

In this episode, we unpack how agentic AI is revolutionizing the shipping and logistics industry—from real-time route optimization and predictive maintenance to autonomous warehouse operations and intelligent inventory control. We explore how AI agents can make split-second decisions, adapt to dynamic conditions like traffic or weather, and coordinate complex supply chains without human intervention. Whether you're managing fleet logistics, third-party fulfillment, or last-mile delivery, this episode highlights how agentic AI is making operations faster, leaner, and far more intelligent. Perfect for logistics leaders and innovators ready to automate beyond spreadsheets and static systems.

In this episode, we explore CodeAct, a powerful evolution in agentic AI where agents don’t just suggest solutions—they write and execute code to implement them. This shift transforms AI from an advisor into an autonomous executor, capable of handling everything from API integrations and data processing to DevOps tasks and internal tool creation. We discuss the implications of AI agents that can perform real-world actions in enterprise environments, the security measures needed, and how businesses can harness this capability to boost productivity, reduce bottlenecks, and accelerate innovation. If you’re excited by the idea of AI agents that can actually do the work, this episode is for you.