#techdogs

In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief at TechDogs, sits down with Varun Srinivas, Founder & CEO of Therix.ai and Co-Founder at Coditas, to explore what it truly takes to turn AI prototypes into scalable, real-world solutions.

Over the past decade, Varun has been at the forefront of transforming solid engineering principles into practical AI deployments. In this candid conversation, he breaks away from buzzwords and highlights how AI must be built with people, not just algorithms, at the center.

The discussion kicks off with an eye-opening statement: “AI isn’t coming for your job—but someone using AI might.” Varun quickly dismantles the fear-driven narratives surrounding AI and instead urges leaders to focus on empowering teams, fostering experimentation, and applying disciplined engineering practices.

One standout topic is the rise of “vibe coding”—the fast, intuitive, generative AI-driven approach to development. While this style is excellent for prototyping, Varun stresses that it cannot replace structured engineering. Without robust testing, constant evaluation, and system observability, vibe coding can crumble under real-world production demands.

Top Takeaways from the Episode:

Prototypes ≠ Production: AI isn’t magic; it needs the same rigor as any software product.

Adoption is Cultural: Break the myths around AI and celebrate small, iterative successes.

Clean Code Still Matters: Generative AI doesn’t excuse poor design—clarity, simplicity, and structure still rule.

Empower, Don’t Control: Great leaders guide with curiosity, not heavy-handed oversight.

Agility is Essential: AI strategies must evolve rapidly, sometimes week to week—not annually.

Varun also highlights a crucial but often overlooked point—the difference between good data and usable data. It’s not just about neat rows in a database but providing AI models with timely, relevant context. He advocates for strong feedback loops, collaborative team efforts, and making AI deployment an inclusive, organization-wide journey rather than an isolated technical project.

This episode is essential for anyone navigating:

AI-powered product development

Engineering teams experimenting with GenAI

Enterprises driving AI transformation

Startups scaling MVPs into production-ready systems

Tune in for a refreshing, real-world perspective on what it takes to move AI beyond the prototype—and how culture, code, and collaboration need to align for true success.

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In this episode of Discover Dialogues, host Vikramsinh Ghatge, Senior Marketing Director and Editor in Chief, sits down with Keith McFarlane, Chief Technology Officer at Globality, to explore how enterprise platforms are evolving in an era defined by AI-native transformation. With a wealth of experience from leadership roles at Oracle, LiveOps, and now Globality, Keith offers invaluable insights into the frameworks driving the next generation of sourcing platforms.

The discussion unpacks Globality’s approach to platform design, where agentic AI systems are at the core—capable of autonomous decision-making, strategic planning, and context-aware execution. Keith highlights the complexity of engineering trust—arguably a more difficult challenge than building intelligence itself—and shares how Globality’s bespoke internal tools enabled greater speed, control, and adaptability than any off-the-shelf solution could provide.

Key topics covered in the Episode include:

What agentic AI truly entails—and how to implement it with precision and control

Strategies for embedding reasoning and contextual awareness into enterprise workflows

Why building trust in AI systems is a greater hurdle than model accuracy

The imperative for CTOs to prioritize scalability, autonomy, and governance in unison

Insights from rapidly developing Globality’s internal systems with an AI-first mindset

Whether you're driving AI strategy at scale, navigating platform architecture, or reimagining procurement systems, this conversation offers a practical roadmap for building AI-first enterprise solutions with meaningful impact.

Keith also reflects on navigating enterprise adoption challenges, infosec requirements, and what engineering leaders need to cultivate teams that thrive in the era of autonomous systems. He delves into the decision to build in-house rather than rely on third-party tools, striking a balance between solving current business needs and laying the groundwork for the future.