Tech-Driven Business

Dive into what’s next for enterprise AI in the latest episode of Tech-Driven Business. Mustansir Saifuddin welcomes SAP expert Andrea Haupfear for an in-depth conversation on how SAP is helping organizations turn AI from hype into measurable business value. If you’re navigating transformation across finance, supply chain, or operations, this episode is a must-listen. Andrea breaks down what makes enterprise AI different—why trusted data, business context, and governance are non-negotiable—and how SAP is embedding AI directly into business processes to improve speed, accuracy, and ROI. Tune in for a real-world example and practical guidance on how organizations can start small, prioritize high-impact use cases, and prepare for what’s coming next with Agentic AI. Andrea Haupfear is a Business Process Architect with over a decade of experience driving digital transformation through artificial intelligence and advanced analytics. She specializes in designing and implementing AI-powered solutions that enhance operational efficiency, decision-making, and adaptability across diverse business environments. Andrea is recognized for her strategic leadership in translating complex technologies into scalable, real-world applications, making her a trusted advisor in navigating change and unlocking value through innovation. Connect with Us: LinkedIn: Andrea Haupfear Mustansir Saifuddin Innovative Solution Partners X:  @Mmsaifuddin YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript [00:00:00] Mustansir Saifuddin: Welcome to Tech Driven Business, brought to you by Innovative Solution Partners. I'm honored to have Andrea Haupfear of SAP. Join me today to break down how SAP is helping organizations leverage AI to drive efficiency, reduce risk and deliver measurable ROI. We'll also look ahead at what's next and how you and your team can prepare as AI moves from experimental to essential for enterprises to thrive. [00:00:35] Hello Andrea. How are you? [00:00:37] Andrea Haupfear: I'm good. How are you? [00:00:40] Mustansir Saifuddin: Doing well, doing well. I'm so excited to have you on our show. So thank you for coming on. Today we would like to talk about the latest SAP's AI journey and the business transformation. And what it really means for SAP customers. How does it sound? [00:00:57] Andrea Haupfear: Sure. No, it sounds great. This is one of my passions that I love to talk about, and so you know, happy and excited to actually share a little bit about what we're doing with AI at SAP and what we've seen in the field with our customers. So, super excited and it's a pleasure being here. [00:01:14] So thank you again for inviting me here. [00:01:17] Mustansir Saifuddin: Awesome. Awesome. Let's get into it, we know we are at an inflection point, right? AI is moving so fast and it's actually turning from experimental to essential, right? For in a lot of different cases. So let's focus in how is SAP's AI strategy fundamentally different from consumer AI? And why does it really matter for enterprises? [00:01:39] Andrea Haupfear: Yeah, absolutely. So a couple of things that I wanna kind of touch on here. So oftentimes, and you mentioned this, right, we, we've used, we've used AI in our personal and daily lives for, you know, the last decade plus, right? I mean, when you think about AI, a lot of people think about Siri or Alexa or ChatGPT, right? [00:02:01] And you know, when I personally think about AI you've got your broad and creative tasks. What we've done in our personal lives, you know, everything from creating a grocery list to, editing a, a photo, right? A family photo. But from a business perspective you know, an enterprise AI, it really has to change those business outcomes. [00:02:26] And really when you think about this, think about, you know, everything from could be closing the books faster or. A faster on time delivery rate or reducing risk in my supply chain. And how do we ultimately do it with the highest level of governance, auditability, cost control. And so SAP's approach is really built around that flywheel of applications, data and that additional layer of artificial intelligence on top of it. [00:02:58] So there's, there's that aspect to it, but then also thinking about it in a couple of other ways of how we're doing this. Is, you know, yes, we're embedding it where your business or where the work happens. So making it easier for our end users to be able to leverage artificial intelligent capabilities and even machine learning capabilities, not just [00:03:23] from a digital assistant or a chat perspective, but how do we integrate it and infuse it within their specific business, day-to-day business processes to make their lives that much easier? But then also thinking about it from a strategic perspective, how can I obtain that high level of ROI by leveraging artificial intelligence. [00:03:47] So we're seeing it in a couple of different flavors from our customers. And then also what we're developing from a, from a product perspective as well. So we're thinking about it from a couple of different angles. [00:04:00] Additionally, thinking about it from a AI operating system for our developers and for our consultants, leveraging the AI foundation on the business technology platform. [00:04:13] So think about what used to be our developers would have to generate thousands upon thousands of lines of code. Now that's no longer the case, right? It can take them you know, a, a minute or so now to develop the, these applications and these lines of code to where it's, it's easier for them to go about their day-to-day jobs and their, their tasks where now they don't have to spend days upon days trying to develop these different applications and agents. [00:04:45] It also lets you and I just mentioned around agents, it also lets you create and govern custom agents to read and write back to SAP and non SAP systems. Thinking about this automation and accountability, not just getting those pointed answers, right? And then last but not least, kind of how I think about this is, yes, you've got your trust. [00:05:09] Think about trust not only in the data from looking at it in your SAP systems, but also think about non SAP systems. Think about your third party applications that you're going in and looking at the data, whether it's geographic information customer sentiment information, or it could even be, asset related sensor information, right? So bringing in that data as well as looking at it from your SAP business data context but then also looking at it with responsibility. So SAP has that responsible AI program in place really aligned to the UN UNESCO principles and the ISO 4 2 0 0 1 certification to really prioritize [00:05:57] those ethics and compliance and human oversight within our, our AI applications such as, you know, AI core and our digital assistant juul. So really taking it from a full spectrum approach and looking at it at the holistic level and how we can bring in artificial intelligence within these, these areas. [00:06:20] Mustansir Saifuddin: I love the way you kind of package it all together, from an overall perspective, especially, you know, the two things that really stuck out to me was. Again, coming from a business side, what is in it for a customer, right? What is the real value? [00:06:35] And you touched upon two things, embedding it. So a person who is currently doing a job and they're used to doing it manually. Now you can. Embed these ai component to their daily work streams, right? And how they can, you know, utilize that. And the second part I really loved it is you talked about ROI really what is the return I'm getting on this investment, right? And then lastly, you talked about data. So let's, let's talk about that. You know, here's the uncomfortable truth. AI is only as good as the data it learns from. We all know that. We all talk about it. And we have always heard this term garbage and garbage out, but what that sort really mean when we are talking SAP AI, making recommendations to customers and we are talking the effect in terms of millions in revenues or supply chain decisions. How would you like to address that? What is, what is SAP's approach on that? [00:07:33] Andrea Haupfear: Yeah, so a couple of things and you know, I've heard that term many times and coming and being an ex consultant. It's, it's definitely right. You're only as good as, as I've heard, you know, as the data that you have. So my thought on this is really when you have an AI agent that recommends, say for example, expediting a shipment or reclassifying a receivable, the truth that it relies on, [00:08:00] is your master data. [00:08:01] It is your transactional history and any sort of process constraints that lie in between. So ultimately, when I think about this, it's not just your, your master data. It's a, it's a multitude of things that ultimately will help the AI model in the end. In the end game to take those three pillars and turn garbage in into good decisions out. [00:08:27] The other piece that, how I think about this are semantics and not necessarily just schemas. So think about when we have some of our solutions such as Business Data Cloud, which carries those semantics and lineage into your AI workloads. So say for example, the customer, the plants, or an open po, it means the same thing everywhere. [00:08:51] And that's really critical for explainability and audit purposes. That's another way how I think about this. And then also just looking at this from a context perspective. So I also think about, you have to train a model when at first go, right? And be able to provide it some context, some instruction, some understanding that says, this is where this particular business process lies. [00:09:17] This is how the process should look and feel. What does good look like? And that's ult