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.
In this episode, we dive into how top-performing sales teams are leveraging agentic AI to gain a competitive edge. From automating lead qualification and CRM updates to providing real-time deal insights and personalized outreach, AI agents are becoming indispensable digital teammates. We highlight real-world examples of how sales organizations are closing deals faster, improving accuracy, and scaling without adding headcount. Tune in to learn how agentic AI is reshaping the future of sales success.
In this episode, we explore the surge in AI startup mergers and acquisitions in 2025 and what it means for enterprise innovation. From strategic acquihires to billion-dollar buyouts, we unpack why big tech and enterprises are racing to acquire AI talent and IP. We also dive into how this consolidation wave is reshaping the competitive landscape, accelerating AI adoption, and creating new opportunities—and risks—for CIOs and tech leaders. Tune in to understand the business impact behind the M&A headlines.
In this episode, we explore how forward-thinking CIOs are turning Gen AI hype into hybrid AI strategies that actually deliver business value in 2025. From balancing in-house models with third-party tools to navigating security, compliance, and scalability, we break down the practical blueprint CIOs are using to operationalize AI across their organizations. Tune in to discover how enterprise leaders are aligning Gen AI with real-world outcomes—without getting lost in the noise.
In this episode, we explore the bold question: Can agentic AI eliminate the need for DevOps altogether? As AI agents grow smarter and more autonomous, they're taking over tasks like deployment, monitoring, incident resolution, and infrastructure management. We break down how this shift from DevOps to NoOps could revolutionize software delivery, reduce human intervention, and accelerate innovation—while also raising questions about reliability, control, and governance. Tune in to find out if NoOps is the future or just another buzzword.
In this episode of the Agentic AI Podcast by lowtouch.ai, host Rejith chats with Vinod, a seasoned IT leader with 25+ years in tech transformations at giants like Fidelity and MassMutual. As a fractional CTO, Vinod shares actionable insights on making your data platform AI-ready—from clean data and modern architectures to governance and security. Discover why AI thrives on trusted data, how platforms like Microsoft Fabric, Databricks, and Snowflake stack up, and practical steps to move from AI pilots to enterprise-scale impact.
Whether you're a CIO, CTO, or business leader, learn how to prioritize high-value use cases, avoid common pitfalls, and build responsible AI without disrupting operations.
In this episode, we explore LMCache, a powerful technique that uses caching mechanisms to dramatically improve the efficiency and responsiveness of large language models (LLMs). By storing and reusing previous outputs, LMCache reduces redundant computation, speeds up inference, and cuts operational costs—especially in enterprise-scale deployments. We break down how it works, when to use it, and how it's shaping the next generation of fast, cost-effective AI systems.
In this episode, Rejith Krishnan and Biji Thomas discuss how the UAE is leveraging AI to transform key sectors like oil & gas, tourism, and logistics. From predictive maintenance in energy infrastructure to personalized travel experiences and autonomous supply chains, AI is fueling innovation across the Emirates. We also examine the unique challenges—like data localization, talent gaps, and regulatory frameworks—that shape AI adoption in the region. Tune in for a deep dive into how the UAE is positioning itself as a global AI hub.
In this episode, we uncover the common reasons behind the high failure rate of agentic AI projects—from unclear objectives and poor context design to lack of integration and human oversight. We break down real-world pitfalls, offer practical strategies for success, and share a framework for building scalable, reliable agent-based systems. Whether you're launching your first AI agent or scaling enterprise automation, this episode will help you avoid costly mistakes and unlock the full potential of agentic AI.