As generative and agentic AI move from experimentation to everyday use, enterprises are rethinking where intelligence should live—and how it should scale. In this episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from Wipro and Intel explore how AI PCs are emerging as a critical control tower for productivity, security, and workforce transformation.

Ankur Sachdeva, senior director of Digital Workplace Services at Wipro, explains why the endpoint is taking on a more strategic role. “AI PCs represent distributed intelligence in the hands of employees,” he says. “They enable personalization, resilience, and compliance in ways that cloud-only models can’t support at scale.”

From Intel’s perspective, the shift is driven by both technology and economics. Sanjay Aghara, system software architect at Intel, highlights how AI PCs powered by Intel Core Ultra processors bring CPU, GPU, and NPU together to run AI workloads locally. “This is a fundamental move toward hybrid AI,” he notes, “delivering stronger privacy, lower costs, and measurable productivity gains.”

Together, Wipro and Intel also discuss persona-based computing, agentic AI at the endpoint, and how enterprises can adopt AI PCs safely and at scale without creating IT chaos.

Listen to the full episode to learn how AI PCs are redefining what’s possible when intelligence moves closer to the work itself.

As AI evolves from hype to reality, many enterprises remain cautious, especially in highly regulated industries where trust, transparency, and compliance are non-negotiable. In this episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from Intel, Dell Technologies, and Tata Consultancy Services (TCS) discuss how organizations can embrace AI responsibly while laying the groundwork for long-term innovation.

“The journey to AI adoption isn’t just about technology,” says Manav Sadana, head of cloud and infrastructure at TATA Consultancy Services. “It’s about reimagining how humans and machines work together. Enterprises are still building the governance, structures, and ethical frameworks needed to scale AI responsibly.”

Sangeeta Roy, senior director of global partner business at Intel, agrees that success starts with a solid foundation. “AI should be an extension of your overall IT infrastructure,” she says. “It needs to be embedded into workflows, governed like any other enterprise system, and supported by secure, flexible compute environments.”

For Dell’s Lance Mitchell, global executive director, GSI & advisories, the differentiator is partnership. “AI innovation moves too fast for any one company to do it alone,” he says. “Our ecosystem approach — built on trust, flexibility, and transparency — helps customers move forward confidently.”

As generative and agentic AI become table stakes, enterprises are facing a new question: not if to deploy AI, but where it should run. In this episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from HCLTech and Intel discuss the rise of the AI PC and why on-device intelligence is becoming a cornerstone of enterprise AI strategies.

“Hybrid AI is reality,” says Sarah Wieskus, general manager for commercial client and data center sales at Intel. “There will be workloads that make sense in the cloud, and there will be workloads that make sense on the edge or on device. Running AI where it makes the most sense delivers lower latency, better privacy, and even offline intelligence.”

Zuber Khan, who leads the Intel ecosystem business unit at HCLTech, notes that the shift is being driven as much by users as by IT. “AI consumption is no longer centralized,” he explains. “Developers, engineers, analysts, and frontline workers want intelligence embedded directly where they work. AI PCs mark the transition from asking can we do AI to how fast can we enable thousands of users with it.”

For regulated industries, that proximity to the user can be transformative. “In life sciences and healthcare, we deal with highly sensitive data,” says Joelien Jose, global leader for Digital Foundation Services at HCLTech. “The ability to do local inference, where data never leaves the device, makes it easier for organizations to innovate while maintaining compliance and trust.”

Throughout the conversation, all three guests emphasized that success with AI PCs requires more than deployment. Leaders must align use cases to real workflows, invest in change management, and measure outcomes that matter.

Listen to the full episode to hear how AI PCs are helping enterprises move AI from experimentation to everyday impact—and why intelligence closer to the user is shaping the future of work.

Generative and agentic AI are reshaping enterprise strategy. However, many organizations remain stuck in the proof-of-concept phase, struggling to scale pilots into production. In this first episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from Intel and Wipro share how forward-thinking CIOs are turning experimentation into enterprise-wide transformation.

“We’re clearly seeing a shift from POC fatigue to platform-first thinking,” says Mayur Shah, general manager and global practice head for platform engineering and innovation at Wipro. “The focus now is on embedding agentic AI into core business workflows — like contract optimization or decision automation — to deliver measurable outcomes. It’s not about experiments anymore; it’s about operational impact.”

Lynn Comp, head of sales for Intel’s AI Center of Excellence, emphasizes that the real differentiator isn’t just the technology but the data strategy behind it. “The magic of AI comes from being able to connect with the data unique to each business,” she says. “That requires disciplined data practices, built-in security and governance, and keeping humans in the loop to ensure trust and accountability.”

As enterprises seek to scale responsibly, both experts point to modular architectures and pragmatic roadmaps as the key to sustainable success. “Start small, move fast, and build for flexibility,” Shah advises. “That’s how organizations future-proof their AI investments.”

As AI shifts from concept to practical capability, enterprises are exploring how AI PCs can elevate productivity, strengthen security, and prepare the workforce for the next wave of intelligent applications. In this episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from HCLTech and Intel discuss how organizations can activate value from AI PCs while building a roadmap for long-term transformation.

“The rise of AI PCs is changing how work gets done,” says Nikhil Singh, who leads product management, strategy, and go-to-market for HCLTech’s Digital Workplace practice. “Enterprises need clear use cases and the right governance so employees can benefit from AI every day, not just in isolated moments.”

Rajita Kaundin, global director of commercial client strategy at Intel, explains that the foundation is already in place. “AI PCs introduce a three-engine architecture of CPU, GPU, and NPU that enables faster, more secure, more efficient AI experiences,” she says. “Organizations can start seeing ROI immediately, even as they plan for more advanced workloads.”

For both leaders, the real differentiator is readiness. “You don’t need a perfect AI strategy to begin,” Singh notes. “You just need to start.”