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. Covey

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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 Vidal

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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 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 Guidara

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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.