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Discover how agentic AI is transforming businesses! Hosted by lowtouch.ai, the Agentic AI Podcast dives into real-world applications, success stories, and expert insights on no-code automation, enterprise AI adoption, and the future of intelligent agents. Perfect for CXOs, innovators, and tech enthusiasts looking to stay ahead in the AI era.
63 Episodes
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In this episode, we tackle the growing AI trust gap—the widening disconnect between rapid AI adoption and enterprise readiness for security, governance, and control. As organizations move toward agentic AI systems that can act autonomously, traditional security models fall short. We explore what’s driving this trust gap, the risks of unchecked AI agents, and how enterprises can redesign AI security with private infrastructure, guardrails, and policy-driven oversight. Tune in to learn how leaders can build trust before agentic AI becomes deeply embedded in mission-critical workflows.
In this episode, we explore how AI-powered self-service platforms are eliminating common DevOps bottlenecks that slow down modern engineering teams. From automated provisioning and intelligent incident resolution to self-healing infrastructure and on-demand access to tools, we break down how agentic AI enables developers to move faster without overloading DevOps teams. Tune in to learn how enterprises are scaling engineering productivity while maintaining reliability, security, and control.
In this episode, we walk through a practical, enterprise-ready approach to implementing AI agents—from strategy to deployment. We cover how to identify the right use cases, design agentic workflows, integrate with existing systems, and put the right security and governance in place. Whether you’re just starting with AI or looking to scale beyond pilots, this episode serves as a clear roadmap for turning AI agents into reliable, production-grade capabilities that deliver real business impact.
In this episode, we unpack Satya Nadella’s Frontier Framework, a strategic roadmap that helps enterprises move from isolated AI experiments to organization-wide AI transformation. We explore its four core pillars—employee productivity, customer experience, business process reinvention, and product innovation—and why proprietary data and intelligent agents, not just models, are the real sources of competitive advantage.
In this episode, we explore the critical shift from fragmented AI experimentation in 2025 to full-scale enterprise transformation by 2026. While AI adoption is already widespread, many organizations remain stuck with siloed data and disconnected tools. We discuss why the next phase centers on agentic AI systems, private infrastructure, and deep workflow integration, where intelligence becomes embedded into the core of the business.
In this episode, we trace the evolution of operations roles—from SysAdmins managing servers, to DevOps accelerating delivery, to SREs ensuring reliability, and now to the rise of the AI Ops Engineer. We explore how agentic AI, automation, and AIOps are reshaping responsibilities—shifting humans from manual firefighting to overseeing autonomous systems. Tune in to understand the skills, mindset, and tools needed to thrive in the next phase of enterprise operations.
In this episode, we dive into the escalating rivalry between Google Gemini and OpenAI, as the AI race hits a critical “code red” moment. We compare their models, ecosystems, and strategic moves—from multimodal capabilities and developer platforms to enterprise adoption and agentic workflows. More importantly, we unpack what this high-stakes competition means for businesses, builders, and the future of AI innovation. Tune in to understand who’s leading, where the real differentiation lies, and how enterprises should position themselves amid the fast-moving AI landscape.
In this episode, we unpack how AWS re:Invent has evolved into a major launchpad for agentic AI. From new foundation model offerings and AI-native cloud services to tools that enable autonomous agents at scale, AWS is positioning the cloud as the backbone for the next wave of enterprise AI. We explore the key announcements, architectural shifts, and what they mean for builders, CIOs, and enterprises preparing to deploy agentic AI in production.
In this episode, we clearly demystify the differences between LLMs, AI workflows, and AI agents—three terms often used interchangeably but fundamentally different in enterprise impact. We explain where LLMs fit as intelligence engines, how AI workflows automate predefined processes, and why agentic AI represents the next leap with autonomous decision-making and action. Designed for CIOs, CTOs, and business leaders, this episode helps you choose the right approach based on scale, complexity, and business outcomes—without getting lost in technical jargon.
In this episode, we break down the Agentic AI architectural blueprint for centralized log management—a new approach to handling the growing complexity of modern DevOps environments. Traditional monitoring tools struggle with fragmented data across multi-cloud and microservices, leading to delayed responses and compliance challenges. We explore how AI-driven log management and AIOps enable real-time anomaly detection, predictive maintenance, and automated root-cause analysis. Powered by autonomous AI agents, this system can even trigger self-healing workflows, drastically reducing MTTR and alert fatigue. Tune in to discover how enterprises can achieve operational autonomy and smarter observability with Agentic AI.
In this episode, we explore the idea of AI as the new enterprise utility—an invisible yet indispensable force powering everything from automation and analytics to decision-making and innovation. Just like electricity or the internet, AI is becoming a background enabler that quietly transforms how businesses operate. We discuss how forward-thinking organizations are embedding AI into everyday workflows, turning it from a flashy trend into a core operational layer that drives scale, efficiency, and adaptability.
In this episode, we explore how enterprises can now build conversational intelligence systems in just weeks using advanced AI and no-code frameworks. From customer support and sales enablement to internal knowledge assistants, we break down how agentic AI enables rapid deployment, contextual understanding, and seamless integration with existing enterprise data. Tune in to learn how companies are accelerating transformation, enhancing customer experience, and unlocking new insights—without lengthy development cycles.
In this episode, we explore how enterprises can now build conversational intelligence systems in just weeks using advanced AI and no-code frameworks. From customer support and sales enablement to internal knowledge assistants, we break down how agentic AI enables rapid deployment, contextual understanding, and seamless integration with existing enterprise data. Tune in to learn how companies are accelerating transformation, enhancing customer experience, and unlocking new insights—without lengthy development cycles.
Discover how Salesforce’s leap to AI-powered workflows has unlocked roughly $100 million in annual savings—and what that means for the future of enterprise automation. From automating routine tasks to surfacing new revenue opportunities, we unpack the transformation of customer service into a strategic engine.
On October 20, 2025, a DNS mis-configuration at Amazon Web Services triggered a global outage—revealing how fragile modern cloud stacks really are. This episode breaks down what happened, the ripple effects across sectors, and how enterprises can protect themselves against single-region, DNS-driven failure.
Traditional RPA has reached its limits in handling complex, variable invoices. In this episode, we explore how agentic AI takes automation further—using reasoning, perception, and autonomous action to cut exceptions, boost accuracy, and free finance teams from manual work. Discover how invoice processing is evolving from rigid bots to intelligent agents.
In this episode, we uncover the rising wave of AI-driven scams and fraud tactics shaping 2025. From deepfake impersonations and synthetic identity fraud to automated phishing, AI-powered social engineering, and fake investment schemes, we break down the five biggest threats enterprises and consumers need to watch. More importantly, we explore how agentic AI and cybersecurity tools can help detect, prevent, and respond to these evolving risks. Tune in to stay one step ahead of bad actors in the AI era.
In this episode, we unpack the infrastructure demands of agentic AI and what enterprises must do to prepare their networks and cloud environments. From high-throughput, low-latency requirements to edge computing, bandwidth optimization, and GPU-powered cloud clusters, we break down the technical backbone that makes scalable AI possible. We also explore cost, security, and compliance considerations as organizations adapt their IT stacks for the next wave of AI. Tune in to discover how to future-proof your enterprise infrastructure for agentic AI.
In this episode, we unpack the infrastructure demands of agentic AI and what enterprises must do to prepare their networks and cloud environments. From high-throughput, low-latency requirements to edge computing, bandwidth optimization, and GPU-powered cloud clusters, we break down the technical backbone that makes scalable AI possible. We also explore cost, security, and compliance considerations as organizations adapt their IT stacks for the next wave of AI. Tune in to discover how to future-proof your enterprise infrastructure for agentic AI.
In this episode, we explore how AI is revolutionizing Ideal Customer Profile (ICP) building by moving beyond static spreadsheets and outdated assumptions. With real-time data analysis, adaptive learning, and predictive insights, AI creates living ICPs that evolve with market shifts and buyer behavior. We discuss how this transformation boosts conversion rates, sharpens targeting, and helps sales and marketing teams align more effectively. Tune in to discover how agentic AI is turning ICP building into a dynamic growth engine for enterprises.
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