Gil Makleff is the CEO and Co-founder of Sembly AI, a platform that helps teams turn meetings and conversations into actionable insights and work-ready outcomes. Under his leadership, Sembly AI has advanced tools for AI-assisted collaboration, workflow automation, and human-AI interaction. Before founding Sembly AI, Gil achieved two successful exits to Microsoft and Ernst & Young, where he later served as a Partner. With decades of experience building and scaling technology companies, he is known for championing human-centered AI that empowers people rather than replaces them.

Technology is advancing rapidly, but as AI becomes more capable, how can businesses embrace automation without losing the human judgment that drives meaningful work? What does it take to keep people at the center of innovation?

In Gil Makleff's view, successful AI is not about removing humans from work but helping them create better outcomes. He highlights the importance of designing AI systems that collaborate with humans, allowing professionals to maintain control while automating repetitive tasks. By transforming conversations into actionable business deliverables, AI can improve productivity without sacrificing critical thinking or decision-making. Gil also shares how his entrepreneurial journey shaped his approach to leadership, from navigating company acquisitions to building empowered, high-performing teams. He explains why values-driven decisions and a culture of trust are essential for long-term success in both business and technology.

In this episode of the Inspired Insider Podcast, host Dr. Jeremy Weisz sits down with Gil Makleff, CEO and Co-founder of Sembly AI, to discuss building human-centered AI that empowers professionals instead of replacing them. They explore the vision behind Sembly AI, the role of AI agents in transforming workplace productivity, and lessons from scaling and exiting technology companies. Gil also shares his leadership philosophy for building loyal, high-performing teams.

Shriram Sridharan is the Co-founder and CTO of Rox, an AI-first revenue operating system that helps enterprise sales teams research accounts, automate workflows, and act on timely customer insights. He helps lead the company's product and technical strategy, building AI agents that make sales processes more focused, efficient, and repeatable. Before Rox, Shriram held engineering leadership roles at Confluent and Amazon Web Services, where he worked on scalable data and cloud infrastructure. His work focuses on using AI to turn complex revenue operations into practical systems that help teams win.

Enterprise sales can do more than track leads and manage deals — it can surface the right signals, automate repetitive work, and give teams more time to build customer relationships. But what separates a sales team using AI as another tool from one using AI agents to actually move revenue forward?

Shriram Sridharan, a technical leader who has built large-scale systems at AWS and Confluent, says the key is using revenue agents to automate or augment the entire revenue lifecycle. He highlights the importance of connecting customer data, public signals, and internal workflows so AI can handle account research, meeting preparation, outbound personalization, and RFP detection. Instead of forcing account executives to switch between tools or spend hours on manual research, Shriram explains how agents can deliver the work behind the scenes with a human in the loop. The result is a more focused sales organization where teams spend less time on grunt work and more time generating pipeline, preventing churn, and growing revenue.

In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Shriram Sridharan, Co-founder and CTO of Rox, to discuss how revenue agents are reshaping enterprise sales. Shriram breaks down AI agent orchestration, sales signals, data warehouses, outbound automation, and RFP detection. He also shares his founder journey and key influences.

Ben Edmond is the Founder and CEO of Connectbase, a company that helps telecom, cable, and managed service providers buy and sell network services more efficiently through a digital platform. Under his leadership, Connectbase powers over 4 million quotes each month and serves nearly every major operator across North America and Europe. Prior to Connectbase, Ben served as CRO at Global Capacity, where he led the company's customer go-to-market strategy and execution. With over 25 years in telecom, fiber, and networking, he is known for modernizing connectivity commerce and reducing transaction friction.

The connectivity industry depends on thousands of providers, yet transactions are still slowed by manual processes, disconnected systems, and limited visibility. As demand for faster connectivity grows, how can businesses better match supply and demand in real time?

Ben Edmond, a telecom industry veteran and entrepreneur, shares that the key to reducing friction is digitizing how connectivity services are bought and sold. He explains that bringing real-time data, automation, and visibility into the process enables providers to make faster, more accurate decisions. By aggregating information across thousands of network operators, his platform removes long-standing inefficiencies in how connectivity is sourced and delivered. The result is a more connected ecosystem where buyers and sellers can transact with greater speed, confidence, and efficiency. Drawing from decades in the telecom industry, he also emphasizes the importance of solving deep operational pain points to drive meaningful innovation.

In this episode of the Inspired Insider Podcast, host Dr. Jeremy Weisz sits down with Ben Edmond, Founder and CEO of Connectbase, to discuss how digital innovation is transforming the connectivity industry. They explore building a platform that streamlines network transactions, lessons from bootstrapping and scaling a tech company, and how AI is improving operational efficiency. Ben also shares insights on industry relationships, conferences, and ecosystem collaboration.