Art of Procurement

AI is already changing procurement, but, for many, the bigger and more difficult question is what will happen to people in the process. Procurement has long been constrained by capacity: too much data, too many transactions, and not enough time to step back and think strategically. Now, with AI accelerating analysis, automating tasks, and reshaping workflows, that constraint is starting to loosen. But more capacity doesn't automatically create more value. In this episode of Buy: The Way…To Purposeful Procurement, Friddy Hoegener, co-founder of Scope Recruiting and a former procurement practitioner, joins co-hosts Philip Ideson and Rich Ham to explore what AI really means for procurement talent, hiring, and the future of the function. Friddy sits at a unique intersection. He has lived procurement from the inside and now evaluates it from the outside, helping companies hire the people who will define its future. What he sees is both promising… and unsettling. On the one hand, AI is making work more efficient. Recruiters no longer spend hours taking notes or writing candidate summaries, and procurement can analyze data faster and make decisions more quickly. Entry-level roles that once focused on repetitive tasks are beginning to evolve into something more strategic. However, AI is also distorting how talent is evaluated, and not always to the benefit of the candidate or the employer. It has never been easier for candidates to look polished, tailored, and highly qualified on paper. Resumes, outreach messages, and even interview preparation can be AI-assisted, making it harder than ever to distinguish between genuine capability and well-generated output. As a result, the traditional filters procurement relies on are breaking down, forcing hiring teams back to something more fundamental: actual human conversation. Links: Friddy Hoegener on LinkedIn Rich Ham on LinkedIn Learn more at FineTuneUs.com

In a world defined by volatility, procurement leaders need more than gut instinct to navigate supply chain risks. From regulatory pressure to sudden trade disruptions, organizations can't afford blind spots. This is why risk intelligence and AI-powered efficiency are climbing the CPO agenda. This week, Harald Nitschinger, co-founder and CEO of Prewave, joins the ProcureTech Insider podcast to discuss how their platform helps organizations move beyond basic supplier visibility to real-time, actionable risk insights. Built with both ESG compliance and resilience in mind, Prewave's approach helps procurement teams anticipate – not just react to – new threats and opportunities. Harald shares how deep supply chain mapping, scenario planning, and seamless integration with procurement tools have set Prewave apart with over 250 global brands. Listen to the full episode to hear Harald's insights on: Uncovering ways to map and monitor risk across all supplier tiers in real time How Prewave's approach balances compliance, sustainability, and operational resilience How leading procurement teams are automating risk identification and avoiding survey overload What's next for AI-driven supply chain intelligence and how CPOs can get ahead Links: Harald Nitschinger on LinkedIn Subscribe to the AOP Newsletter Subscribe to Art of Procurement on YouTube Learn More About Prewave in AOP's Provider Directory

"What you think of as the data isn't the right data." This observation from FineTune COO Brian Gamble shines an (uncomfortable) spotlight on one of procurement's biggest challenges: AI has the potential to completely transform the function (in a good way) and drive a significant amount of value for the business, but only if organizations first acknowledge how inadequate their current data actually is. In the twenty-ninth episode of "Buy: The Way...To Purposeful Procurement," Philip Ideson, Rich Ham, and Kelly Barner reflect on recent conversations with procurement tech pioneer Jason Busch and category expert Brian Gamble. They explore the troubling reality that procurement's future with AI depends almost completely on having the right data, while most organizations don't even know what the right data looks like. This conversation exposes the gap between what practitioners call "the data" and what actually constitutes useful information for decision-making. Invoice details, contracts housed in various systems, and perhaps some quarterly business review reports make up most of what the average procurement professional considers their data foundation. Suppliers have systematically reduced invoice transparency over the years, removing fields that enabled auditing, all under the guise of creating "easier to read" formats, and procurement is left to deal with the fallout. The episode also connects back to Buylaws 5 and 6, prioritizing comprehensive high-quality data and developing expense-specific systems of measurement, while simultaneously setting up the next conversation about how compensation models and hiring practices must evolve for procurement's uncertain future. Links: Rich Ham on LinkedInLearn more at FineTuneUs.com

"The world as we know it in procurement and tech will change beyond recognition over the next couple of years." - Adam Brown Procurement teams are grappling with a wave of new digital solutions and AI-powered tools, making it harder than ever to stay ahead. The role of the CPO is shifting, as leaders must balance business risk, speed-to-value, and a tech landscape that doesn't wait for anyone. In this ProcureTech Insider episode, Adam Brown joins host Jyothi Hartley to demystify how procurement organizations can innovate faster while remaining practical. Adam, a founding voice in the ProcureTech100 and veteran of large-scale digital pilots, shares hard-earned lessons on running a "digital garage," partnering with startups, and testing next-gen tech without getting burned. If you're looking to compress your innovation cycle and get smarter about where to place your bets, Adam's candid stories and actionable tips offer a blueprint you can use. Listen in for the mindset, models, and steps to get your team "garage ready." In this episode, Adam covers: How the digital procurement landscape is evolving faster than ever Where digital garages fit in an innovation strategy for CPOs Practical steps to manage risk and reward with startup partners Realistic ways to pilot AI without putting business continuity at risk Links: Adam Brown on LinkedIn Subscribe to the AOP Newsletter Subscribe to Art of Procurement on YouTube

Procurement talks about "the data" as if it's neutral. It rarely is. For years, we have talked about "the data" as if it were a single, uniform thing… a stack of invoices, a dashboard of KPIs, a quarterly business review deck handed over by a supplier. Here's the problem: invoices are curated. Reports are crafted. And, most of the time, suppliers decide what you see… unless you know what to ask for. In this episode of Buy: The Way…To Purposeful Procurement, Brian Gamble, COO at FineTune and a 30-year veteran of indirect services, joins podcast co-hosts Philip Ideson and Rich Ham to unpack BuyLaw #6: "develop expense-specific systems." The directive is fairly simple on its surface, but it's also disruptive: no single data set or measurement system works across diverse categories. Uniforms are not utilities. Security is not pest control. Waste is not janitorial supplies. And trying to manage them all with the same playbook guarantees procurement will create blind spots. Brian has seen those blind spots from both sides up close, first as a regional VP for a national uniform provider, now as an advisor helping clients defend their P&L against quiet leakage. He doesn't mince words: if your definition of "the data" is whatever appears on an invoice PDF, you are operating inside a commercial narrative written by your supplier. The episode walks through examples that sound almost unbelievable until you realize how common they are. Security "dark hours" where posts go unfilled but still get billed. Pest control programs charging for weekly service where there's been no activity in months. Uniform inventory definitions that vary between suppliers, creating a scenario where 17 cents can be far more expensive than 21 cents, depending on what number you're multiplying. None of that shows up cleanly on a summary invoice. Which brings us to AI… As procurement leans more heavily on AI for benchmarking and research, the technology can generate polished, authoritative answers, even when the underlying data is thin or incomplete. But, the quality of the output rises or falls with the quality of the inputs. For example, Brian shares a live demonstration his team conducted internally: a generalist asking AI for "a good price" in a complex service category gets laughable, contradictory answers. Garbage in, garbage out, so to speak. A more informed user does slightly better. When a true category expert feeds AI high-quality, relevant, structured data does the output become meaningfully useful, and even then, it still requires human judgment to separate signal from noise. This episode also challenges another sacred cow in procurement: not all dollars are created equal. A $100 million utilities category might require minimal management. A $1 million uniform program might require 50 times the oversight. Yet procurement teams are often sized and measured purely by spend under management, not complexity, risk, or management intensity. If procurement is going to be measured by what actually hits the P&L (as the earlier BuyLaws argue) then they must design contracts, data rights, and reporting structures that allow real validation. The future of procurement won't be won by those who have the most data. It will be won by those who know which data matters and, perhaps most importantly, why. Links: Rich Ham on LinkedIn Learn more at FineTuneUs.com

In this episode of the ProcureTech Insider Provider of the Week, host Jyothi Hartley speaks with Imran Shaikh, Head of Pre-Sales and Business Development at Samsung SDS America, about how AI-powered design-to-source-to-pay orchestration is transforming procurement's role in product development. Samsung SDS Caidentia is an AI-powered platform designed to shift procurement upstream, connecting product design, sourcing, and supply decisions before spend occurs. Acting as an orchestration layer between PLM and ERP systems, the platform enables procurement teams to influence cost, risk, and supply resilience earlier in the product life cycle. Imran shares how Samsung SDS Caidentia has evolved from a sourcing solution into a cross-functional platform centered around Bill of Materials (BOM) intelligence. In this conversation, they explore how procurement can move beyond transactional execution to become a strategic contributor to product decisions, leveraging AI to simulate cost impacts, assess supplier risk, and improve cross-functional alignment. Links: Samsung SDS Caidentia Provider Profile Download the 2025-26 ProcureTech100 Yearbook Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube

Procurement doesn't have a data problem. It has a data delusion. For 25 years, the function has told itself the same story: if we can just clean up our spend, we'll finally be in control. And yet here we are… swimming in the same dashboards, drowning in fields, and still struggling to answer a simple question: what do we spend? In this episode of Buy: The Way…To Purposeful Procurement, Jason Busch, founder of Spend Matters and now a self-described builder of AI "co-workers," returns to the podcast to pressure-test BuyLaw #5: "prioritize comprehensive, high-quality data." If procurement wants to operate in a world of AI employees, continuous validation, and P&L accountability, their data cannot remain partial, fragmented, or shaped by suppliers. Jason draws a sharp distinction between the roles or entities that manage procurement data: copilots, agents, and what he calls digital co-workers (multi-agent infrastructures capable of executing complex work autonomously). But all that capability comes with a catch. When the marginal cost of activity drops toward zero, the absolute risk of bad data increases exponentially. Humans have the battle scars and the intuition to know when something isn't quite right with the data. AI doesn't, unless we explicitly teach it what 'right' looks like. That's where procurement's comfort with incomplete data becomes dangerous. For decades, the function has relied on narrow slices of information: negotiated price, historical spend, maybe a market index or two, but in an AI-enabled world, that's insufficient. Jason explains why context means everything – supplier financial health, commodity forecasts, tariffs, inventory signals, competitive pricing, risk data, contract performance signals, governance structures, and the cultural guardrails that determine how decisions are made. If procurement feeds incomplete, biased, or poorly governed data into increasingly autonomous systems, those systems won't just make mistakes faster; they'll actually end up institutionalizing them and making procurement's data problem unnecessarily worse. Jason's advice for procurement is pragmatic and urgent: set up a data governance committee tomorrow. Not to tidy historical spend, but to define what data matters, which sources are trustworthy, what tolerances exist for error, and at what point autonomous systems are allowed to act on that data. In a world of digital co-workers, incomplete data isn't a nuisance. It's a real, human liability. Links: Jason Busch on LinkedIn Rich Ham on LinkedIn Learn more at FineTuneUs.com

In this episode of the ProcureTech Insider Startup of the Week, host Jyothi Hartley speaks with Ricky Ho, Co-Founder and CEO of SourceReady, about how AI and big data are transforming global supplier discovery and sourcing strategy. SourceReady is building an AI-powered sourcing platform designed to automate the most time-consuming parts of the sourcing process – from supplier discovery to quote comparison and risk analysis. With access to 1.2 million suppliers across 100 countries, the platform helps procurement and sourcing teams uncover new suppliers, analyze risk, and streamline supplier communication. Ricky shares how his background in a family textile business and his experience building and selling a supply chain startup led him to create SourceReady. Together, they discuss the limitations of traditional supplier directories, the growing complexity of global sourcing, and how AI agents can help procurement teams focus on strategy rather than manual tasks. Links: SourceReady Provider Profile Download the 2025-26 ProcureTech100 Yearbook Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube

Procurement's incentive problem doesn't stop at the contract. It gets worse after signature. In this Phil-Ins episode of "Buy: The Way…To Purposeful Procurement," Rich Ham and Philip Ideson are joined by Kelly Barner to unpack three "Buy Laws" at once, mainly because they're inseparable in practice. First: count only what hits the ledger. If the value doesn't show up in actuals, it doesn't count. That means moving procurement out of the projection business and into the results business… where the CFO lives. Second: stop counting only the good. The status quo lets category managers rack up credit for isolated wins while bad outcomes quietly pile up elsewhere. Procurement can't become more credible (or more strategic) if the scoreboard only records highlights. Third: fund a validation function. If you're going to demand that outcomes be real, you have to resource the work that proves it. Validation isn't optional. It's the bridge between negotiation and execution, the place where contract adherence, leakage, "technically compliant but avoidable" spend, and invoice-level reality either confirm the deal… or expose the fiction. Along the way, the conversation also confronts the uncomfortable tension at the heart of all three Buy Laws: procurement can't control everything that drives financial outcomes. But that can't be an excuse to keep rewarding imagined savings. The answer is a healthier system altogether, which should include clear carve-outs, smarter attribution, and a consistent discipline of asking the simplest kinds of questions procurement too often avoids: "this was supposed to be 12… so why is it 15?" If procurement wants to claim value, they have to stay involved long enough to validate it, and build a measurement system strong enough to survive contact with reality. Links: Rich Ham on LinkedIn Learn more at FineTuneUs.com

"Sometimes you just need to recognize that getting from the baseline, whatever your baseline, to the next step… that's really significant." - Jyothi Hartley, Director of Digital Enablement, AOP Art of Procurement is proud to launch a brand-new podcast series: the ProcureTech Insider. The procurement technology market is evolving faster than ever, promising exponential transformation. But what actually works in the real world? ProcureTech Insider exists to take procurement leaders and decision makers beyond the hype. In this new series, we will bring you real-world intelligence from practitioners implementing technology, solution providers building next-generation capabilities, and experts and leaders evaluating what delivers impact in practice. In this first episode, Art of Procurement Founder and Managing Director Philip Ideson welcomes Jyothi Harley, AOP's Director of Digital Enablement, to discuss the vision behind the show and to explore what digital transformation can look like inside visionary procurement teams. With more than 25 years of experience across practitioner, transformation, and advisory roles, Jyothi shares why there is no one-size-fits-all blueprint for procurement technology success. Instead of chasing "big bang" transformation, she explains why incremental progress grounded in culture, timing, and organizational readiness often delivers the most sustainable impact. If you're navigating AI buzz, (re)evaluating your tech stack, or feeling pressure to transform faster than your team may be able to absorb, this conversation – and all of those that will follow it – will help you identify your best next step. In this episode, you'll learn: Why there's no universal playbook for digital procurement transformation How to assess your true starting point before investing in new technology Why incremental progress can be more powerful than sweeping change The role culture, adoption, and timing play in successful implementation How AOP's digital enablement practice bridges strategy and execution This episode also marks Art of Procurement's expanded coverage of the rapidly changing procuretech landscape through regular podcast episodes and the ProcureTech100. Links: Download the 2025-26 ProcureTech100 Yearbook Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube

Procurement's biggest measurement problem isn't that "savings" is incomplete. It's that "savings" has become a substitute for truth. In the first Buy: The Way…To Purposeful Procurement episode of 2026, co-hosts Philip Ideson and Rich Ham unveil the first of the show's new procurement "Buy-laws." It's the one that almost every serious practitioner agrees with, but very few organizations are ready to operationalize: replace savings with defined value. That doesn't mean adding a few extra KPIs in addition to savings. It means removing the word entirely and replacing it with a primary metric that includes verified spend reduction and revenue generation, plus company-specific priorities like emissions reduction, process improvement, resilience, risk reduction, and anything else the business actually cares about. To help map what this kind of "value" can and should include, Phil and Rich are joined by Omer Abdullah, co-founder of The Smart Cube and co-author of Risk and Your Supply Chain: Preparing for the Next Global Crisis. Omer has spent decades close to the function, advising teams, building intelligence services around procurement decisions, and now working at the intersection of startups, go-to-market strategy, and what he calls a "post-AI" future for procurement. The idea of "post-AI" matters more than it sounds. Omer isn't talking about a world where AI fades away. He's talking about the moment when AI becomes a hygiene factor – embedded, expected, and no longer a differentiator. The result is uncomfortable: once AI takes the transactional load, procurement doesn't automatically become "more strategic." Not unless leaders define what that actually means, what outcomes it should produce, and how to measure those outcomes without defaulting back to the simplest (and most misleading) number on the page. The conversation also goes straight at one of procurement's most corrosive incentives: short-termism. The function keeps making long-term sacrifices for short-term wins because the system asks it to. Rich calls it a "scourge," and Omer lays out what a healthier alternative could look like. He recommends a scorecard that includes in-year expectations, multi-year outcomes that reflect how value compounds over time, and a controlled level of discretionary evaluation to capture the contributions that matter but refuse to sit neatly inside a spreadsheet cell. Underneath all of this is a truth that the episode doesn't dodge: none of it works without executive support. The CFO and CEO have to buy into procurement's expanded definition of value. Procurement can't wait to be understood; they have to be sold. Procurement is a business within a business, and the C-suite is its most important customer. If leaders don't see the function's potential, it's on procurement to advocate, educate, and prove (through better definitions and better scorekeeping) that the status quo isn't merely outdated. It's actively harmful. Links: Omer Abdullah on LinkedIn Rich Ham on LinkedIn Learn more at FineTuneUs.com

"Now with agentic AI, RFPs are becoming and will become even leaner, and they'll cut to the chase a whole lot faster. There'll be a lot less fluff." - Barri Horn, Director of Product Marketing for AI for SAP Ariba and SAP Fieldglass' strategic procurement portfolios AI is reshaping the RFP process, but smart procurement leaders know they have to think beyond speed or efficiency drivers and, instead, reimagine the value they deliver. As teams turn to AI to break free from past challenges, the question isn't if change is coming, but how to capture its advantages while managing risk, trust, and adoption. In this episode, Philip Ideson speaks with Barri Horn, Director of Product Marketing for AI for SAP Ariba and SAP Fieldglass' strategic procurement portfolios, to dig into what's truly changing in the world of RFPs, why agentic AI is different from yesterday's tools, and how procurement can use new technology without losing stakeholder trust. Expect practical, leader-level guidance for running better RFPs and rolling out AI that sticks. Barri discusses workflows, pitfalls, and organizational mindsets that separate successful AI adoption from failed pilots: How to streamline repetitive RFP tasks with AI so teams can focus on insight Asking smarter, market-driven questions without overwhelming suppliers Aligning AI "autonomy" with procurement's risk comfort level Building trust and credibility through transparency and foundational training Resetting and rebooting change programs to support adoption Links: Barri Horn on LinkedIn Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube