Enterprise AI Innovators

In the 73rd episode of Enterprise AI Innovators, host Evan Reiser (CEO and co-founder, Abnormal AI) talks with Sean Perry (Chief Information Officer, Kelly). Founded in 1946, Kelly pioneered temporary staffing and today places talent across professional, industrial, science, engineering, technology, and education. Sean explains why Kelly mapped depth of AI use by job level before deciding where to invest, how Kelly built Grace, an internal assistant that brings AI to every employee and guides them to the right prompts and models, and why he expects on-device models to reshape the economics of enterprise AI.Quick Hits from Sean:On reducing friction for recruiters: "By injecting that right there on the page, we've given them one-click actions that have been really well received."On moving from seats to usage-based pricing: "When we made the transition from seat-based to usage-based licensing, we saw the volume of usage drop by 30% from Friday to Monday."On reading consumption reports: "Not so that I can go audit them, but because I want to figure out who's got new use cases."Book Recommendation: The Reverse Centaur's Guide to Life After AI by Cory DoctorowLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 72nd episode of Enterprise AI Innovators, host Evan Reiser (CEO and co-founder, Abnormal AI) speaks with Alexandra Guenther, Senior Vice President and Chief Information Officer at Leidos. Leidos is a Fortune 500 science and technology company that operates globally with roughly 50,000 employees across defense, intelligence, homeland, health, and digital sectors. Alexandra explains how Leidos rebuilt IT support into a "service desk of the future," how she drives AI adoption by asking teams which task they never want to do again, and why she treats AI as an enablement layer rather than an outcome.Quick Hits from Alexandra:On measuring the modern CIO: "It's no longer about ROI, and it's no longer about, 'I'm going to deploy this technology in 24 months.'"On leading through change: "You cannot build resilience into an exhausted organization."On AI's real role: "AI is an enablement and it is not the outcome in and of itself."Book Recommendation: Good to Great by Jim CollinsLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 71st episode of Enterprise AI Innovators, host Evan Reiser (CEO and co-founder, Abnormal AI) speaks with Ogi Redzic, SVP & Chief Digital Officer at Caterpillar. Caterpillar is a century-old industrial manufacturer operating across construction, mining, and power and energy, collecting data from 1.6 million connected assets into a single platform called Helios. Ogi explains how building that data foundation first let Caterpillar ship its Cat AI Assistant in ten months, coach operators on safety in the cab, and give field technicians instant answers drawn from 50,000 service documents.Quick Hits from Ogi:On disciplined AI adoption: "Just because we can do something doesn't mean we should."On shipping speed: "The product itself, the AI assistant, we put it out there in ten months, which before was unheard of."On measuring digital leaders: "I will not measure you just on the quality of your code or the uptime of the services that you build."Book Recommendation: The Art of Action by Stephen BungayLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 70th episode of Enterprise AI Innovators, hosts Evan Reiser (CEO and co-founder, Abnormal AI) and Saam Motamedi (General Partner, Greylock Partners) are joined by Vijay Sankaran, Chief Digital and Information Officer at Johnson Controls. Johnson Controls is a 140-year-old building technology company that provides HVAC, controls, fire, and security systems for facilities ranging from hospitals and manufacturing plants to landmark towers and data centers worldwide. Vijay shares how his team is rebuilding the commercial, service, and customer support workflows with agentic AI, why he insourced the digital organization to move faster, and how the CIO role is shifting from operator to chief coach for AI adoption.Quick Hits from Vijay:On the CIO's job now: "that's the role CIOs and CTOs need to play now: really being that chief coach on how to adopt AI."On building agents for sellers: "it's not serial, it's parallel. I can run ten different reps at once."On agentic AI in the field: "we're already seeing 8 to 10 hours of improvement just with AI. And we're not even, I would say, 25% of the way there."Book Recommendation: AI Valley by Gary Rivlin. Like what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 69th episode of Enterprise AI Innovators, hosts Evan Reiser (CEO and co-founder, Abnormal AI) and Saam Motamedi (General Partner, Greylock Partners) are joined by Greg Meyers, Chief Digital and Technology Officer at Bristol Myers Squibb. Bristol Myers Squibb is one of the top ten pharmaceutical companies, with about 30,000 employees and roughly 45 billion dollars in annual revenue, making specialty medicines in oncology, immunology, and neurology. Greg shares how BMS puts commercially scalable AI products in front of doctors, why a science company had to start thinking like a data company, and how a small-team accelerator de-risks ambitious AI bets in a highly regulated industry.Quick Hits from Greg:On thinking like a data company: "to models, negative results matter as much as positive results."On running small experimental teams: "making them too small to fail in a public or embarrassing way was really important."On what really gates AI adoption: "psychology and sociology trump technology every time."Like what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 68th episode of Enterprise AI Innovators, host Saam Motamedi (General Partner, Greylock Partners) talks with Paul Beswick, SVP & Chief Information and Operations Officer at Marsh, about building production-grade AI tooling in days, why a portfolio of twenty small sequential projects beats three big flagship ones, and what the scaffolding around the firm's internal LenAI tool taught Marsh about agent harnesses and operational AI.Quick Hits from Paul:On staying current as a CIOO: "I code probably weekly if not more."On building scrappy versus buying commercial: "We only lag by a few months, and it costs a lot less to do it this way."On a new CIO's first three AI projects: "Break those three into 20 each and do them sequentially, one at a time."Book Recommendation: Titus Groan by Mervyn PeakeLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 67th episode of Enterprise AI Innovators, host Evan Reiser (CEO and co-founder, Abnormal AI) talks with Joel Hron, Chief Technology Officer at Thomson Reuters. Joel shares how Thomson Reuters is rebuilding 150-year-old knowledge-work franchises in legal, tax, and compliance around agentic AI, what changed when more than half of his engineers' code started being written by AI, and why the right mental model for working with AI is "colleague," not "copilot."Quick Hits from Joel:On the engineer-to-controller reframe: "Your job as an engineer shifted from being the contributor and owner of the code base to being more the controller and governor of the code base."On the trust gaps blocking enterprise agents: "The control system around the agent is something that I think really needs to be built out further for enterprises to get comfortable with allowing agents to just do work in a more independent way."On doing technical review at 5,000-engineer scale: "You can literally go clone the repo and spend an hour with Claude or with Codex talking about the code."Book Recommendation: Thinking, Fast and Slow by Daniel KahnemanLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 66th episode of Enterprise AI Innovators, host Evan Reiser (CEO and co-founder, Abnormal AI) talks with Aldo Noseda, Chief Information Officer at Eastman Chemical Company. Eastman is applying AI in two directions at once: productizing data science for customers (e.g., Fluid Genius for predicting thermal-fluid degradation) and deploying “AI for the masses” internally via a secure, customized layer on top of tools like ChatGPT and Microsoft Copilot, with clear guardrails based on situational risk.Quick Hits from Aldo:On customer-facing AI as a product: “We at Eastman, in the last year or so started to do something fairly unique for the chemical industry is that we started to offer to our customers digital solutions in the form of services. And we have four products in the market right now that we are that we are offering. One of those is the product is called Fluid Genius.”On “AI for the masses” with security and customization: “What we had to do is create an engine utilizing, obviously, the base of the existing products in the market, but wrap it up with a solution that was not only secure, but customized to the needs of that company. And we deploy that very quickly. Right now, we have approximately 6000 recurring users utilizing that engine for individual consumption. That is where I call AI for the masses.”On fast operational wins: “We loaded the script, we put it on top of the helpdesk, and in two weeks we have the engine up and running for our users to consume… we were in from 5000 lines of code per month for a programmer to like 40,000 lines of code using AI agent.Recent Book Recommendation: The 7 Habits of Highly Effective People by Stephen R. CoveyLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 65th episode of Enterprise AI Innovators, hosts Evan Reiser (CEO and co-founder, Abnormal AI) and Saam Motamedi (General Partner, Greylock Partners) talk with Steve Chase, KPMG International Global Head of AI & Digital Innovation and KPMG US Vice Chair, AI & Digital Innovation.KPMG’s AI push is not “tools on the side.” Steve outlines an operating model that starts with trusted AI principles and embedded training, then scales through firmwide enterprise search and targeted agent-driven products. The throughline is simple: unlock people at the edge while keeping control structures, observability, and accountability in view.Quick Hits from Steve:On AI forcing org redesign (not just tool adoption): “We're going to rewrite the org charts, we are going to rewrite how work gets done.” On embedding AI training into the job: “If I train you how to do something in the course of training you how to do your job, you're going to be way better at using the AI when it's contextualized for you, right?”On the first foundational use case: “One of our number one early objectives with our AI program was to solve for enterprise search. I should be able to find out the answer to what we’re up to, what we think about something.”Recent Book Recommendation: Creation by Gore VidalLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.

On the 64th episode of Enterprise AI Innovators, host Saam Motamedi (Greylock Partners) talks with Bill Briggs, Chief Technology Officer at Deloitte. Bill argues that most organizations stall because they try to graft new models onto old workflows, and because their data and system foundations were never built for agentic execution. He shares a practical “start at the outcome” framing, why modernization still matters (even in the GenAI era), and how trust, security, and privacy have to be engineered in, not audited after the fact.Quick Hits from Bill:On AI-native starting at the top: “I actually start with the CEO and the chair and sit them down and say, if this isn't coming from you and this not this isn't about here in a year, it's about here. And what that means. We should stop the conversation…”On why agent pilots stall without foundations: “[Leaders hoped GenAI meant] we didn’t have to do… hard work in data foundations… [but enterprises lack] orchestration backbone… microservice enablement… without that, the bounds of what agents can do [are] limited.”On redesigning outcomes, not steps: “The point is, you want to have folded clean laundry when you need it. Not [a] step by step replacement of the steps you learned as a child to complete that task.”Recent Book Recommendation: Unreasonable Hospitality by Will GuidaraLike what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube.Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise.Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/Enterprise AI Innovators is produced by Abnormal Studios.