

14 Oct 2026 · 25m · 12 chapters

Transalta’s early exploration of agentic AI in procurement—making high-volume workflows “boring enough and safe enough” via automation, while keeping humans for high-risk decisions.
Lisa Simbol, Director of Supply Chain Management at Transalta (Canada-based power generator with 90+ facilities across Canada, Australia, and the U.S.). Leads a centralized but geographically distributed supply chain team (~30 people) supporting procurement for outages, projects, IT, and corporate needs.
Pilot selection should be tied to measurable business outcomes and controlled risk. Full automation fits low-risk, high-volume, rules-based, reversible tasks; strategic/critical decisions must remain human-led. Avoid “AI FOMO”; start from business outcomes, not existing processes.
Requisition-to-purchase-order automation; contract and purchase-order leakage detection/comparison. A “random Tuesday” OEM document search showed how hard-to-retrieve information can erase negotiation leverage.
Written by AI. May contain mistakes.
Philip introduces Lisa Simbol and her role at Transalta.
“These are conversations about the journey told by the people taking it.”
Lisa explains her role and the significance of the supply chain at Transalta.
“And then supply chain in Transelva is not a back office function.”
Lisa discusses her organization's early journey with Agentic AI technologies.
“Yeah, the outputs, like their experience of working with procurements as a whole.”
Discussion on selecting use cases for AI in procurement at Transalta.
“So initially, we were thinking, what are the cases where we have a workflow that is high volume, that has defined rules, and that no one really likes doing?”
Lisa shares insights on the resistance and concerns around AI in procurement.
“And how do you kind of figure out where the efficiencies are to do that?”
Discussion on the role of humans in partnership with AI in procurement tasks.
“How do you think about the role of the human in partnership with the AI?”
Explore how AI should enhance human roles in procurement without replacing them.
Understand the importance of reversible decisions in AI-driven procurement processes.
“once we make those transactions boring enough and safe enough, I think the human can only remain as an oversight and not in the loop.”
Learn about the potential of AI to free up time for strategic tasks in procurement.
“in a year, 90 years, and three years from now.”
Discuss the need for developing senior judgment and commercial acumen in procurement roles.
“or maybe even hiring for a different mix of capabilities.”
Explore trends that could reshape the procurement landscape in the coming years.
“And the third one, in my view, procurement will move more upstream and become more connected to their operating system of the business.”
Understand the importance of starting fresh and adapting procurement processes to business goals.
“Can I just ask a follow-up, which I think kind of ties some of these together?”

Get the gist, explore an idea or ask about something said.
On Art of Procurement, what are the key points of this episode?
Automatic transcript. May contain errors.
0:00Liza Tsimbal: Hi there, my name is Philip Eidson and welcome to the Agentic Procurement Diaries. It's a show where we explore what procurement could become in an age of Agentic AI. The Agentic Procurement Diaries is presented in partnership with Zycus, a leader in Agentic AI for autonomous procurement. If you are a CPO navigating this shift, this show is for you. The truth is that nobody has all the answers yet, not even the most forward-thinking leaders. We're all learning, experimenting, and figuring out what this technology could mean for our teams and our function. In each episode, you'll hear from CPOs about what they're experimenting with, what they're learning, the challenges they're encountering, and how they're preparing their organizations for what comes next.
0:42Liza Tsimbal: These are conversations about the journey told by the people taking it.
0:50Liza Tsimbal: And today on the show, I'm delighted to welcome Lisa Simbol. Lisa is the Director of Supply Chain Management for Transalta, a publicly traded power generator based in Canada, has customers across Canada, in the United States and in Western Australia. Well, first of all, Lisa, thank you so much for joining me on the show today. Hi, Phil, and hi, everyone. I'm happy to be here. Well, it's our pleasure. And let's kick things off just by understanding a little bit about your role. If you could give us a quick picture of what your role is and what you're responsible for and then how procurement fits into the broader organization at Transalta.
1:24Liza Tsimbal: That would be really helpful. For sure. So first of all, and I'll quickly touch on something that you already mentioned, but just to give a better context. So Transalta, I lead the supply chain function at Transalta. And Transalta is one of Canada's biggest power generators. And we've been generating electricity for more than 115 years. So we have a very diversified portfolio of more than 90 generating facilities in Canada, in Australia, in the States. And the assets they spend, hydro, solar, gas, and battery energy storage. So that's a lot. And then supply chain in Transelva is not a back office function.
2:02So we are an operational one. So we support the full spectrum of everything that the company needs. It's from the day-to-day procurement to outages to projects, IT, corporate, you name it. So we purchase all the equipment that will require for the growth of the company. We do complex negotiations with OEMs. We do everything. And the way I look at supply chain and what my team does, and I do it from three lenses. It is reliability because we're a power generator. It is speed and it's cost. and those can really pull you in different directions so my job is finding the right
2:41Liza Tsimbal: balance for the asset and for the risk and and how is your team structured so when you think about your team specifically what does that look like so i have roughly 30 people across buying and strategic sourcing and we support the entire company as i said so our supply chain is centralized, but the entire team is not sitting together. We have some people in the corporate office here, but also at sites across Canada and Australia. So the buyers, they're the closest to the business. They keep the company moving. They're doing the purchase orders, the outages, the expediting, and then sourcing specialists.
3:20They're more on the complex side. So they're doing the category strategies. They work with major suppliers. They're doing supplier performance management. But that said, I don't believe in high walls between strategic and operational procurement. Because strategic work, we have to understand the operational consequences. And then the operational work needs to understand commercial context. And then for the last probably three and a half years, we've been moving away from being somewhat of a purchase order factory into more of a strategic function. So we're doubling down on category management, supply relationships, and early engagement in business decisions.
4:05Liza Tsimbal: How do you manage those handoffs? Because I think it's really important what you said is that you can get into these silos where somebody who might be in a category management lead, for example, thinks, well, I'm responsible for category. So I'm responsible for the strategy. I'm not too concerned about downstream. But of course, the decisions that they make impact downstream and and if you're not careful you can create this world where they're not connected so how do you think about ensuring that everybody's connected so that everybody kind of does understand is it one role that does multiple facets or do you have other ways of making sure that there's connections between you know folks who are local in the facilities and those that are in head office this is an excellent question because i've seen that before what you've described salad approach my turf staying in my lane so what we do we do the cradle to grave and we also flex people across the portfolio because when you think about it business doesn't really come in neat operational boxes or in the when the business looks at the orchard they don't really care as much they just want things to be delivered on time on budget and this day is even ahead of time.
5:19So my role is to make sure I understand the full picture, explain the why to the team, and then give them the opportunity to deliver what's required for the business, regardless of their title. So it's not about the title, it's about that work needs to be done.
5:35Liza Tsimbal: Yeah, the outputs, like their experience of working with procurements as a whole. Now this podcast series is, we called it the Agentec Procurement Diaries to really focus on Agendic AI. And I'd love if you could kind of share a little bit about where you are on your journey with Agendic AI. Phil, we're early. Yeah. We're really early, but we're seriously exploring. And the assistive AI through co-pilot and other applications, it's been around for us for the last several years. So we're using co-pilot and other applications for contract reviews, for the first drafts, like scenario planning. maybe even getting to the better question sooner but a jntki is a different ballgame altogether yeah and this is where the value comes so we are now at the point when we're focusing on practical use cases so we are for this year we're identified two areas and the first one is requisition to purchase order automation.
6:39And the second one is contract and purchase order leakage. So the pilots, in my view, they have to be small enough that we can control them, but also meaningful enough that we can measure the input on the work. So for us, once we identify those areas where we want to pilot, we will also want to be cognizant of the impact of the company, because Transalta, we've come through a major ERP transformation just last year. And that's been quite a journey for the last three and a half years. And also the business, we're in a very active growth phase. So we're growing through acquisitions and through development.
7:24So the internal capacity is at the premium. And personally, just to share something with you, I'm trying to avoid this whole AI FOMO. Yeah. Because everyone and their dog is talking about AI, but AI is everywhere, but the skilled results are not. So I wanted to start with the business case where I would define the business outcome that is clear, well structured, and then decide where the answer belongs in the platform. Let's say SAP and Juul, or if we want to consider a point solution. So this is where we're at right now. Okay.
8:04Liza Tsimbal: As you were looking at the different ways that you could deploy all the different use cases for Agenda KI, what were some of the considerations that went into selecting, you know, Rector PO and the contract and PO leakages being kind of your two test cases? So initially, we were thinking, what are the cases where we have a workflow that is high volume, that has defined rules, and that no one really likes doing? And those are two cases where they fit the profile exactly. We have high volume. We have high volume of transactions. We have rules-based. We know exactly what constitutes a good requisition, what needs to go on the purchase order.
8:55Let's say we have defined terms and conditions so the agent can compare the invoice for the leakage against the invoice. So we were using those criteria. high volume people don't like the workflow uh it is potentially reversible if the agent makes a mistake uh and it's rules-based so those four criteria um and was there a specific moment
9:26Liza Tsimbal: where you felt that um agentic ai is something that um that can really help us with in these areas you know when you're kind of looking for because these have obviously been pain points that you've had for a long time um and uh and i can certainly attest to in my career even the rector po process you know lots of pains lots of pains for us as procurement organization lots of pains for the rest of the business um you know at what moment did you think you know what i think that agentic ai can be the solution to that problem it wasn't necessarily the driver for those two pilots and it wasn't really a lightning bolt it was just a random tuesday and we had a technical issue with one of our oems and we needed to find a specific technical piece of information and we knew that it existed somewhere it could have been on an old drawing in the contract in the email chain but the problem was finding that piece and i was watching a lot of smart people So days in and days out, looking across documents, opening folders.
10:34And this is what crystallized that to me. So the information that you cannot retrieve fast enough might not as well exist. And in negotiation, when I reflect back on what my team does, sometimes the value of information is partly about speed. And if you find an answer a week later, you might have already lost leverage or time. So that's why I started thinking about how can AI support us on that joining? So this was one angle. And the other one is as we're getting bigger as the company, we cannot continue extending and expanding the support structure to fit the growth of the company. So we need to find a way to create capacity in my team because supply chain talent is scarce.
11:27So we can remove and strip out all this transactional and repetitive work so people can actually focus on things that move the needle that are truly value add. So that was the moment.
11:40Liza Tsimbal: Yeah, we're all under this pressure of doing more with less. And how do you kind of figure out where the efficiencies are to do that? Now, as you started to explore Agenda KI, did you find there was any pushback or unexpected pushback to plans? Or was this something that, you know, it's like, why have we been waiting so long? I'd love to know kind of the resistance or the encouragement that you may have come across as you start to put these plans in process. The pushback was definitely there. And for the most part, it was reasonable. And the answer, sorry, the questions that were being asked, can we trust the answer?
12:19What data is it using? What about confidentiality, cybersecurity, the data access? Are we even automating a bad process? And then on the people side, of course, does it eventually mean fewer jobs? But when you think about it, there is also a business case and a business case question when it comes to AI. because AI demo might sound very compelling, but every leader wants to know what would be the impact on their P &L, on the productivity, on the risk, and it is all fair. So the way I think about it, if I cannot connect the use case to a measurable business outcome, then it's probably not ready for investment.
13:04Liza Tsimbal: How do you think about the role of the human in partnership with the AI? You know, kind of, do you feel as though there's a world where for certain tasks, it can entirely be done by an agent, an AI agent, and there's not really be a human in the loop? Or there always needs to be a human because of that trust factor? So the test that I would typically use is if this is low risk, high volume, rules-based and reversible. And I want all four. So this could include routing of the request, checking completeness, exactly the requisition to purchasers, the leakage, and so on. So monitoring this tailspin transactions that seemingly will never end.
13:53So this is where I think we can have the full AI automation. but then where i would not even think about at this point handing anything over uh to ai if this if those activities fall into this other box is when we have an activity that can create a new material obligation yeah if this is a major negotiation if this is a critical supplier or if it is a decision with a safety implication because when you think about it at the strategic end, AI should make the human better, but not remove the human. But at the transactional, once we make those transactions boring enough and safe enough, I think the human can only remain as an oversight and not in the loop.
14:47Liza Tsimbal: Yeah. When you say a process or an action or a task being reversible could you just expand a little bit on on what you mean by reversible okay the reversible decision is if i cannot unwind the decision made by the ai yeah then a human needs to be the one approving it because i could never go to an auditor or an executive and say the system did it yeah so it needs to be easily reversible yeah so for you you know you're as accountable for the actions taken by an AI agent as much as you're accountable for the actions that might be taken by a member of your team. And so therefore, you know, that's kind of your level of, you want oversight accordingly.
15:38Liza Tsimbal: You know, where do you feel comfortable with an agent doing something? Whereas where do you not necessarily feel comfortable with an agent doing something based on that accountability? 100%.
15:49Liza Tsimbal: How do you feel that your team are embracing the use of Argentic AI. You know, I think you mentioned the fact that we should be using these technologies to empower our teams, to give them the ability to be able to do more with the time that they have, you know, to work on activities that are more strategic. And of course, there's always fear about what it means and some of the tasks because the role might look very different in the future. Is this something that you've found when you've, you know, socialized the kind of direction of travel? Or I'd love to kind of hear what you've found from the team themselves.
16:28And again, we're still very early. The pilots, the team haven't seen the results of those pilots yet. And I'm thinking that there is definitely an element of fear. Because to your point, what will their role and their job look like in a year, 90 years, and three years from now. But the way I'm thinking about it, the strategic end of supply chain, it will become more human because we will automate a lot of the transactional. So people will have time and capacity to focus on things that, first of all, they probably enjoy doing more than the transactional and the repetitive, can also learn more and will be more meaningful for their own career development.
17:14So this is on their team side. But then the way I'm thinking about the whole, the job profile of the future supply chain person, I think we need to be very cognizant of what are the changes that we're making. Because if we're going to automate much of the junior work, how do we build senior judgment? Because we cannot automate the so-called apprenticeship out of procurement and then wonder where is the next generation of commercial capability comes from. And that means that we really need to be more deliberate about building this kind of commercial acumen. the site, the supplier exposure, the decision skills, like the AI literacy, or maybe even hiring for a different mix of capabilities.
18:02Liza Tsimbal: So do you feel that that could also mean not necessarily selecting every single use case that could lean itself to being used by AI agents because you actually want to create a pipeline of talent who has that experience of doing the same thing? So not just because you could automate it or because you could use an agent's theory, it doesn't necessarily mean that you should do as you're thinking about kind of the talent pipeline and the exposure and experiences you want to give people. I really like how you summarize that because in my view, the goal should not be to have the most of AI. The goal needs to be making better business decisions faster and with the right controls.
18:46But it cannot be one size fits all. Right.
18:50Liza Tsimbal: So I want to just leave with, I think, a final question to ask you to look into your crystal ball a little bit. And, you know, I think this is probably the hardest question because we don't really know where things are going to be in 12 months time, never mind, you know, three years or five years. But is this something that you believe that would be true about procurement in, let's say, three years time that may not be obvious to us all today? This is an excellent question and something that I've been thinking about a lot. Because even to your point, everything in procurement changes on a weekly basis.
19:29Tariffs, counter tariffs, you name it. So when I'm looking at my crystal ball of the three things that I'm thinking about, first of all, as I said, I think AI will make the strategic end of procurement more human, not less. Because we will be automating the mechanics. So the premium will go up on commercial documents, on judgment, on influence, and on strategic supply relationships. Because that part is not going anywhere. And then the second part, I think that the scary skill that will be in demand would be the ability to define what good should look like. Because you cannot automate something that you haven't articulated yet.
20:12It could be the rule, threshold, the specification, you name it. So in my view, people who can articulate their judgment will become much more in demand than people that use their intuition and just their intuition alone. This is the second. And the third one, in my view, procurement will move more upstream and become more connected to their operating system of the business. Because when I look at my own industry, we're seeing an unprecedented supply chain disruptions. We're seeing lead times that are measured in years. So you cannot really expect and wait for the project to be fully backed in and then come to supply chain to source it.
21:01So the teams, and this is their use case that I'm really looking for, the teams that can connect, for example, the maintenance planning, the inventory, the supplier intelligence, the project demand, and connect it all together. so they can shape decisions earlier, so they will be ahead of the curve. And they will be, yeah, they will be ahead of the curve. And this will be the exact competitive advantage they will be bringing to the company. So these three things.
21:38Liza Tsimbal: Can I just ask a follow-up, which I think kind of ties some of these together?
21:44Liza Tsimbal: We've often been, you know, as we've grown up in procurement, grown up in supply chain, I think that it's easy for our mindset to be constrained around what we believe that procurement is and what we've been brought up to believe the role of procurement and what we've been brought up to believe the role of supply chain. How important is it to be for that talent, you know, when you think about who's in demand, to be able to see past those, like break down those walls and to like start with a blank piece of paper and think, okay, now we actually have the ability to do far more than we used to. Where does procurement start?
22:15Liza Tsimbal: Where does supply chain start? Where does it stop? and how is that different from perhaps what we've all been used to in the past? That's extremely important, Phil, and I think you nailed it. The ability not to apply our preconceived notion and automate potentially a bad process, but start from scratch from their clean slate and then build something that is fit for business where the process is not dictating the activities, but you just look at where the company is going and how you can accomplish or help the company accomplish their goals using whatever tools that you have in your toolbox. And it could be AI.
22:58It could be clean data. And sometimes clean data will be AI. We just don't know because do you really need AI when you can search? Yeah, it's difficult to tell right now, but I think we can anticipate a lot of changes in our industry and just as a whole in procurement.
23:20Liza Tsimbal: I think we become architects. We now have all these tools at our disposal, and the question is how do we fit together the right tools for the right moment, for the right stakeholder, for the right project? And the answer is not what it used to be, which was, okay, I'm going to throw a sourcing process and run an RFP at that. it's um you know how can i build something that feels like it's really custom for this moment in time but obviously in a way that is still scalable um that's going to be hard and that requires a different mindset i think a different mindset but the mindset should be start with an outcome in mind and then build everything else based on that as opposed to start with a process and try to fit in the outcome somehow well lisa i want to thank you so much for joining me uh today on the podcast it's been a pleasure.
24:07Liza Tsimbal: What I'll do is we'll link up to your LinkedIn profile in the show notes. So anyone who would like to reach out can find a way to get in touch. The show notes will be out of procurement.com slash podcast. One last time. It's been a pleasure to speak to you today. Thank you, Phil. It's been a pleasure as well.
24:30Liza Tsimbal: If this episode struck a chord with you, please do send it to somebody. we grow here at art of procurement through word of mouth and that would be really appreciated you can also support us by giving us a thumbs up a star rating or a review wherever you listen to your podcasts since 2015 we've built the world's largest free resource for procurement professionals looking to elevate their impact our resources span podcasts like this videos blog posts papers and events to join us on the inside and to ensure you never miss an episode a webinar event or a post, please do subscribe to our weekly newsletter this week in procurement.
25:07Liza Tsimbal: You can do that at artofprocurement.com slash subscribe. That's artofprocurement.com slash subscribe. Thank you for joining us today and I look forward to seeing you again soon.
Dear Diary… "I was watching a lot of smart people, day in and day out, looking across documents, opening folders."
Most procurement teams pick AI use cases by asking what the technology can do. Liza Tsimbal started somewhere else. On a random Tuesday, an OEM technical issue had a room full of smart people hunting through old drawings, contracts, and email chains for one piece of information. Her conclusion: information you cannot retrieve fast enough might as well not exist.
Liza is the Director of Supply Chain Management at TransAlta, one of Canada's biggest power generators. She leads a team of roughly 30 people across buying and strategic sourcing that supports more than 90 generating facilities in Canada, the United States, and Australia.
In this episode of The Agentic Procurement Diaries podcast, Philip Ideson and Liza discuss:
- Why TransAlta chose requisition-to-purchase-order automation and contract and PO leakage as its first agentic pilots, based on four criteria: high volume, rules-based, disliked by the team, and reversible
- Liza's test for taking the human out of the loop, and the decisions she won't hand to an agent, such as new material obligations or anything with a safety implication
- How she avoids AI FOMO by tying every use case to a measurable business outcome
- The risk of automating procurement's apprenticeship, and why the ability to define what good looks like becomes the scarce skill
Links:
Liza Tsimbal on LinkedIn: https://www.linkedin.com/in/liza-tsimbal-mba-59433242/
Zycus on LinkedIn: https://www.linkedin.com/company/zycus/
AOP Provider Directory | Zycus: https://artofprocurement.com/provider-directory/zycusinc
Subscribe to the AOP Newsletter: https://resources.artofprocurement.com/art-of-procurement-podcast-subscribe
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