The Globality Blog

First, let’s talk about this term, “agentic,” which is at the heart of everything we do at Globality. When we use this term, we’re talking about software systems with agency, with the ability to not only answer questions intelligently, but beyond this, to act intelligently on behalf of the user as more of a partner than just an application. Agentic systems are extremely challenging to build, requiring deep data science expertise, a secure foundation, and enterprise-level scale, but they more than make up for their level of complexity with the value they provide.

Globality’s AI agent, Glo, was designed as an agentic AI from the very beginning – long before the term became a buzzword. "In fact, Glo was conceived from Globality's very first day."

The very first code written in my garage (yes, a Silicon Valley cliché, but true!) was a prototype of Glo, designed to understand natural language and process long-form sourcing requests at a time when search capabilities were limited to multiple keywords. From the start, we recognized that true AI-driven procurement required more than just conversational interfaces – it needed intelligence, actionability, and deep domain expertise. Unlike many companies now scrambling to retrofit agentic AI into their products, Glo was built with this approach at its core. It was never an afterthought for us; it’s embedded in our DNA.

Back then, even as we pushed the boundaries of AI, we couldn’t have imagined the exponential leaps in intelligence we’re witnessing today. The pace of breakthroughs is staggering. But our original vision remains intact: Glo was never meant to be just a chatbot – it was built as an interactive dialogue system with the ability to understand, leverage tools, integrate models, and execute actions rather than just provide answers.

Today, our agentic architecture is an end-to-end platform that can deploy and orchestrate actions on behalf of users. Glo seamlessly integrates the best LLMs, tools, and data sources. What truly sets us apart is our proprietary dataset – years of in-house training data curated by domain experts, which doesn’t exist anywhere else. This exclusive data, built specifically for Glo, enables it to operate at a level of precision and intelligence unmatched in the industry.

The technology we’ve developed goes far beyond ChatGPT-level AI. It can autonomously initiate multi-step procurement processes, including supplier discovery, proposal analysis, and multi-round negotiations. Having been trained across more than 9,000 categories by human procurement experts, Glo's ability to manage the procurement process is unmatched.

From the start, we’ve believed that to democratize procurement and empower employees, stakeholders, and individuals, we needed to make the platform easy to use and autonomous. That’s why we have built an AI Agent capable of behaving like a professional procurement specialist – possessing the knowledge, data, and understanding to manage all the scenarios and journeys related to procurement.

And we feel that 2025 marks the moment when AI Agents will make a real impact in enterprises, particularly in procurement.

NLP revolutionizing the way procurement teams interact with AI
Glo’s natural language processing (NLP) capabilities are transforming the way procurement teams interact with AI by making the process seamless, intuitive, and accessible to anyone – regardless of their procurement expertise or familiarity with procurement terminology. We’ve been on the cutting edge of AI from our early use of classical machine learning models to the painstaking prompt engineering we employ with LLMs today, and our expertise in this world has always translated into truly valuable and effortless solutions for our customers.

Procurement spans every industry, culture, department, and professional role, involving buyers and sellers of all kinds of goods and services. Traditionally, translating business needs into structured procurement requirements required human experts who understood both user intent and sourcing processes. Glo eliminates this barrier by acting as the procurement specialist itself, understanding and responding in natural language.

Now, anyone who knows what they need – without specialized procurement knowledge – can simply communicate with Glo, and the system will intelligently interpret, refine, and guide them through the process effortlessly. This removes complexity, accelerates sourcing, and ensures that procurement is as natural as having a conversation.

What we’re talking about here is enabling users – both procurement specialists and line-of-business professionals – to express themselves in natural language and translate complex intent into concrete needs. This provides a quick, accurate way to source goods and services, always aligned with your specific procurement policies, while guiding the user through the correct buying process.

We developed Glo to function like a human specialist in an interview, knowing the right questions to ask as well as providing detailed instant answers to the users’ questions, quickly processing the information provided by stakeholders, and mapping it into the necessary domain expertise for each sourcing event. In essence, Glo understands complex intent in a natural language conversational way, eliminating the need for users to fill out endless forms. Instead, users simply provide their initial intent in straightforward business terms – explaining what they need and what they want to achieve – and Glo responds with the best solution in a personalized, elegant, and interactive way.

A solution for all spend from tail through to complex service categories
Every day of the year, we see a range of projects that on the high-end are larger than one billion dollars to, at the small-end, a few thousand dollars, with obviously the average and median being between these two bookends. We accomplish this by using our Agentic AI to overtly tailor journeys to the category, the value of the project, the persona/user and the region in which the user is working. Furthermore, we infuse customer policies and rules into the journey as well as deep category expertise as expressed by our Agent to the user of the system. This allows the user experience and the speed, efficiency and agility to be tailored to the need, whether it be very large and strategic or tail sized transactions.

The benefits to the customer are several things. First, the aspiration of managing 90% or more of the addressable spend is achieved, quite typically with the same staff that existed before. This yields substantial incremental savings. The second benefit is being able to operate with one sourcing product that, by definition, flexes to the use case and purpose. Lastly, it allows customers to ensure their spend is compliant, governed, visible at all times and auditable from a risk and regulatory perspective. Rogue spend is eliminated and furthermore, “tails of spend” are substantially reduced as needs are funnelled to suppliers in such a way that more proliferation doesn’t occur.

AI-powered summaries and dynamic charts to enhance decision-making
To help our users make data-driven decisions with ease, our next-gen pricing analysis capabilities now include dynamic, interactive charts, comparison tables, and exportable reports that deliver deeper analysis of pricing data for better proposal evaluation, using Agentic AI to perform analysis and make recommendations based on industry standards and historical data. These visualizations will empower businesses to make faster, more informed buying decisions.

Glo’s Agentic AI architecture enhances decision-making in procurement by making AI-powered summaries and dynamic charts both user-initiated and self-initiated by Glo. This flexibility ensures that users can either request specific visualizations in natural language or let Glo intelligently surface the most relevant insights based on context, user behavior, and sourcing events. This dynamic approach ensures that decision-makers always have the right information at the right time, streamlining procurement processes and making insights more actionable.

Data analysis to provide a competitive edge in pricing strategies
Glo is constantly analyzing both your internal data and third-party information to assess scenarios, presenting the user with concrete actions and insights that line of business managers can immediately leverage for negotiations. Essentially, it provides real-time, accurate, and continuously updated pricing insights, based on industry benchmarks and past spending, for optimized proposal evaluation. We designed Glo to function in two key ways. First, Glo operates in a self-initiated manner, proactively surfacing the most impactful information at the right moment – much like a top-notch specialist who highlights critical insights without taking direct action. Second, users have the flexibility to ask Glo to perform any type of analysis, giving them infinite adaptability to explore and assess whatever they need. In this way, Glo serves as both an intelligent guide and a dedicated analyst.

Using Agentic AI to improve data analytics
With Glo’s AI-driven commercial and qualitative deal analytics, and real-time macro insights, against the entirety of the addressable spend portfolio, both procurement and business teams have instant access to dynamic interactive charts, comparison tables and exportable reports to make help make data-driven decisions with quickly and easily. Natural language prompts can also answer virtually any “wild card” data or insight need, with or without the necessity of charts or graphs.

Furthermore, the endless debate about “data cleansing” is all but eliminated in the case of our customers as the data is built and structure to be clean from the inception of usage. Beyond tackling critical external challenges, the platform’s latest capabilities also streamline pricing analysis across vast amounts of complex internal data – integrating insights from suppliers, contracts, and market trends – enabling users to make smarter decisions at every stage of the sourcing journey. These insights include being able to examine scenarios and options that traditional analytic methods make very time-intensive or complex to do.

Freeing up procurement teams to focus on strategic decision-making
By automating data-intensive tasks and instantly creating dynamic charts, tables and reports that would have taken humans hours, or even days to produce, Glo enables procurement professionals to shift their focus to more strategic activities – becoming an internal business partner, improving supplier relationships, refining category strategy – that help drive better business outcomes. In the past, it would not have been un-common to have pools of analysts labelled “middle office” who’d spend weeks combining supplier proposals and bids into pivot tables and consumable presentations and this weeks of work and valuable time are now all done instantly upon supplier proposals being received. If you want your team’s contribution to be recognized as truly strategic, now is the time to embrace AI in procurement.

Procurement teams, like all business functions, are looking to utilize the power of AI to deliver savings, efficiency, and strategic value — while navigating increasingly complex data and processes. We are meeting these challenges head-on with Glo, the most advanced AI Agent in procurement, and have introduced groundbreaking pricing analysis capabilities that empower Fortune 500 and Global 2000 companies to make faster, better buying decisions across all their enterprise spend.

Revolutionizing Procurement with Next-Gen Analytics
As part of the journey from scope to savings, procurement and business teams can simply ask Glo for detailed project pricing information in natural language. Our award-winning platform, which manages all spend from tail through to complex service categories, instantly creates detailed, actionable, and easily shareable data in the form of AI-powered summaries and dynamic charts and visualizations.

Leading Global 2000 enterprises, including Fidelity Investments, HP, Invesco, Santander, Tesco, and T. Rowe Price, have turned to Globality to better manage company spend. By synthesizing internal and third-party data, Glo enables these organizations to evaluate proposals with confidence and deliver measurable business outcomes.

Delivering New Business Value Amid Complexity
The need for advanced analytics in procurement is more urgent than ever. Gartner’s Procurement Predicts 2025 Report reveals that 63% of procurement organizations fear losing their competitive edge unless they improve their use of data and analytics. While AI promises increased productivity, reduced costs, and faster decision-making, these benefits can only be achieved if procurement teams trust the outputs of their technology.

This is where Glo excels. By providing real-time pricing insights and autonomous analysis capabilities, Glo enables procurement teams to focus on what matters most — strategic decision-making and driving sustainable, bottom-line value.

How Glo’s Capabilities Are Redefining Procurement
Glo’s enhanced analytic tools represent a major leap forward in the way procurement teams approach pricing and proposal evaluation. These features work together to solve critical challenges:

Analytics: Glo provides a foundational layer of intuitive, real-time analytics. Using Agentic AI, procurement professionals can create interactive dashboards, visualizations, and trend reports in seconds, ensuring smarter decisions at every step of the buying journey.

Next-Gen Proposal Insights: This feature builds on Glo’s analytic foundation, offering a deeper dive into pricing data. By using Agentic AI to perform analysis and make recommendations based on industry standards and historical data, Globality gives users a competitive edge in pricing strategies. With this tool, users gain a strategic edge in proposal evaluation and pricing strategies.

Glo Pricing Insights: This feature brings everything together by leveraging Globality's agentic architecture to provide immediate, actionable answers to pricing inquiries from procurement or business users. 

Driving Competitive Advantage with AI
These capabilities don’t just streamline processes—they revolutionize them. With Glo, procurement leaders can better manage risk, enhance productivity, and unlock new opportunities for value creation.

Our mission at Globality has always been ambitious: to transform enterprise spending into a smarter, more inclusive process. With nearly a decade of innovation behind it, we continue to lead the charge in AI-driven procurement solutions. By offering actionable insights, seamless automation, and a human-like approach to decision-making, Glo empowers businesses to thrive in an era of unprecedented complexity.

For procurement leaders looking to stay ahead, Glo’s status as the most advanced AI Agent in the industry, represents a vital competitive advantage enabling them to better manage risk, boost efficiency and productivity, and create new value that goes straight to the bottom line. Through Glo’s next-gen AI-powered analytics, companies gain the tools to drive better business outcomes in the face of unprecedented market and internal complexity.

Historically hard-to-procure spend areas that are complex and high-value, like indirect spend or sourcing of services, have proven an enduring bottleneck for technology. Machines struggled to comprehend nuanced requirements, leaving such tasks firmly in the hands of human expertise. However, the landscape is rapidly shifting. By 2025 and beyond, advancements in AI promise a revolutionary change. Procurement professionals could shed the burden of crafting exhaustive briefs. Instead, they could collaborate with AI systems honed by years of experience and vast datasets of procurement workflows.

These AI partners would provide immediate access to tailored insights and resources. This could enable procurement teams to launch efficient and highly customised sourcing strategies. This evolution not only optimises time and resources but also positions the CPO as a strategic leader within the organisation.

Synthesise in seconds to give accurate and data-driven answers

Customers describe this transformation as nothing short of game-changing.  A recent independent assessment into the benefits of the technology, conducted by analysts at global research and analysis firm HFS,  highlights just how transformative this technology is. It introduces an unprecedented level of transparency to procurement—something the industry has long strived for. Historically, bidding for complex services has meant painstakingly crafting lengthy, intricate RFPs. This has often made it challenging to fairly and thoroughly evaluate vendors’ solutions, pricing, and alignment with requirements like diversity, sustainability, and cultural fit.

Doing this repeatedly at scale is a Herculean task. But imagine a future where you can discuss every aspect of a sourcing brief with an AI partner. THat partner would be a tireless, infinitely patient system with flawless recall and meticulous attention to detail. These emerging AI systems are not just tools; they act as informed colleagues. They process and synthesise vast amounts of data in seconds, offering precise, data-driven insights.

Better still, they simplify the process of generating market-ready responses, ensuring alignment with your organisation’s policies on compliance, governance, and ethical sourcing. The result? Procurement teams are freed from 99% of the drudgery, empowered to focus on strategy and innovation, while achieving fairness and transparency at levels previously unattainable.

AI agents

By partnering with this new class of AI agents, buyers not only work smarter, they also enhance their reputation across the enterprise. After all, introducing new, data-driven processes that identify the best providers, proposals, and outcomes will lead to improved business metrics, enabling procurement to add more strategic value and help drive new growth. As the effectiveness of these processes becomes more visible, increasing numbers of stakeholders—including those typically a little suspicious of what they see as over-rigid procurement strictures—become engaged, bringing more spending under management.

However, it’s important to emphasise that, unlike other areas, in complex sourcing we’re not yet talking about machine-to-machine-only transactions. Complex purchasing decisions always involve relationships; buyers and sellers need to feel confident and trust each other. 

Developing synergistic partnerships with AI

To be honest, I can’t stress enough that relationships, both internal and external, will always be crucial in procurement. These will continue to be managed and led by people, while AI agents do the background work and the heavy-lifting and manual work that at the moment slows you down. In fact, a large part of B2B procurement will increasingly be driven and orchestrated by human experts working in productive and synergistic partnerships with AI.

My advice is to approach AI as you would any trusted colleague—by investing time and effort into building a strong partnership. The potential value lies in the prompts, strategies, and guidance you provide to unlock the power of machine learning, predictive analytics, and Agentic AI within your organisation. For example, you might ask, “Scan my spend portfolio to identify the top three categories with the most supplier fragmentation. Recommend which 15% of my supply base could manage the majority of my spend.”

Autonomous sourcing can then pinpoint categories like employee learning and development, cleaning services, and marketing events, which collectively involve over 2,000 suppliers. With sufficient data, it can instantly identify the 14 suppliers in each category capable of managing the majority of the volume. From there, it outlines three-panel sourcing projects, selecting the most suitable suppliers for each event and providing a clear, actionable framework for execution.

Applying lessons for your team’s benefit

Similarly, you could ask, “Who in my company has run a penetration testing services project in the last 18 months? What were the results, which suppliers bid, and what were the planned contract durations? Provide any insights I could benefit from.” The AI identifies three projects conducted in Europe, LATAM, and the US. Remarkably, it uncovers that one supplier was awarded two of these projects at different price points—something no one had realised.

Within seconds, the system also highlights that one project is performing better financially than any of the previous bids. It recommends consolidating all three projects into a single sourcing event to capitalise on efficiencies before the contracts expire. The AI then prompts the user: “Would you like to combine these volumes and create a new project?” The response? A resounding yes.

By the way, these are all queries you can make today, not tomorrow. So, my advice to the forward-thinking Chief Procurement Officer as we close out 2024 is to start thinking ahead. These are the kinds of prompts you should be exploring with your new AI partners in 2025. Now is the time to get familiar with how AI can reshape your procurement strategy and unlock unprecedented value.

Click here to book a demo of our award-winning AI-driven souring platform and see how you can super-charge your team's impact across the enterprise.

First, let’s talk about this term, “agentic,” which is at the heart of everything we do at Globality. When we use this term, we’re talking about software systems with agency, with the ability to not only answer questions intelligently, but beyond this, to act intelligently on behalf of the user as more of a partner than just an application. Agentic systems are extremely challenging to build, requiring deep data science expertise, a secure foundation, and enterprise-level scale, but they more than make up for their level of complexity with the value they provide.

Globality’s AI agent, Glo, was designed as an agentic AI from the very beginning – long before the term became a buzzword. "In fact, Glo was conceived from Globality's very first day."

The very first code written in my garage (yes, a Silicon Valley cliché, but true!) was a prototype of Glo, designed to understand natural language and process long-form sourcing requests at a time when search capabilities were limited to multiple keywords. From the start, we recognized that true AI-driven procurement required more than just conversational interfaces – it needed intelligence, actionability, and deep domain expertise. Unlike many companies now scrambling to retrofit agentic AI into their products, Glo was built with this approach at its core. It was never an afterthought for us; it’s embedded in our DNA.

Back then, even as we pushed the boundaries of AI, we couldn’t have imagined the exponential leaps in intelligence we’re witnessing today. The pace of breakthroughs is staggering. But our original vision remains intact: Glo was never meant to be just a chatbot – it was built as an interactive dialogue system with the ability to understand, leverage tools, integrate models, and execute actions rather than just provide answers.

Today, our agentic architecture is an end-to-end platform that can deploy and orchestrate actions on behalf of users. Glo seamlessly integrates the best LLMs, tools, and data sources. What truly sets us apart is our proprietary dataset – years of in-house training data curated by domain experts, which doesn’t exist anywhere else. This exclusive data, built specifically for Glo, enables it to operate at a level of precision and intelligence unmatched in the industry.

The technology we’ve developed goes far beyond ChatGPT-level AI. It can autonomously initiate multi-step procurement processes, including supplier discovery, proposal analysis, and multi-round negotiations. Having been trained across more than 9,000 categories by human procurement experts, Glo's ability to manage the procurement process is unmatched.

From the start, we’ve believed that to democratize procurement and empower employees, stakeholders, and individuals, we needed to make the platform easy to use and autonomous. That’s why we have built an AI Agent capable of behaving like a professional procurement specialist – possessing the knowledge, data, and understanding to manage all the scenarios and journeys related to procurement.

And we feel that 2025 marks the moment when AI Agents will make a real impact in enterprises, particularly in procurement.

NLP revolutionizing the way procurement teams interact with AI
Glo’s natural language processing (NLP) capabilities are transforming the way procurement teams interact with AI by making the process seamless, intuitive, and accessible to anyone – regardless of their procurement expertise or familiarity with procurement terminology. We’ve been on the cutting edge of AI from our early use of classical machine learning models to the painstaking prompt engineering we employ with LLMs today, and our expertise in this world has always translated into truly valuable and effortless solutions for our customers.

Procurement spans every industry, culture, department, and professional role, involving buyers and sellers of all kinds of goods and services. Traditionally, translating business needs into structured procurement requirements required human experts who understood both user intent and sourcing processes. Glo eliminates this barrier by acting as the procurement specialist itself, understanding and responding in natural language.

Now, anyone who knows what they need – without specialized procurement knowledge – can simply communicate with Glo, and the system will intelligently interpret, refine, and guide them through the process effortlessly. This removes complexity, accelerates sourcing, and ensures that procurement is as natural as having a conversation.

What we’re talking about here is enabling users – both procurement specialists and line-of-business professionals – to express themselves in natural language and translate complex intent into concrete needs. This provides a quick, accurate way to source goods and services, always aligned with your specific procurement policies, while guiding the user through the correct buying process.

We developed Glo to function like a human specialist in an interview, knowing the right questions to ask as well as providing detailed instant answers to the users’ questions, quickly processing the information provided by stakeholders, and mapping it into the necessary domain expertise for each sourcing event. In essence, Glo understands complex intent in a natural language conversational way, eliminating the need for users to fill out endless forms. Instead, users simply provide their initial intent in straightforward business terms – explaining what they need and what they want to achieve – and Glo responds with the best solution in a personalized, elegant, and interactive way.

A solution for all spend from tail through to complex service categories
Every day of the year, we see a range of projects that on the high-end are larger than one billion dollars to, at the small-end, a few thousand dollars, with obviously the average and median being between these two bookends. We accomplish this by using our Agentic AI to overtly tailor journeys to the category, the value of the project, the persona/user and the region in which the user is working. Furthermore, we infuse customer policies and rules into the journey as well as deep category expertise as expressed by our Agent to the user of the system. This allows the user experience and the speed, efficiency and agility to be tailored to the need, whether it be very large and strategic or tail sized transactions.

The benefits to the customer are several things. First, the aspiration of managing 90% or more of the addressable spend is achieved, quite typically with the same staff that existed before. This yields substantial incremental savings. The second benefit is being able to operate with one sourcing product that, by definition, flexes to the use case and purpose. Lastly, it allows customers to ensure their spend is compliant, governed, visible at all times and auditable from a risk and regulatory perspective. Rogue spend is eliminated and furthermore, “tails of spend” are substantially reduced as needs are funnelled to suppliers in such a way that more proliferation doesn’t occur.

AI-powered summaries and dynamic charts to enhance decision-making
To help our users make data-driven decisions with ease, our next-gen pricing analysis capabilities now include dynamic, interactive charts, comparison tables, and exportable reports that deliver deeper analysis of pricing data for better proposal evaluation, using Agentic AI to perform analysis and make recommendations based on industry standards and historical data. These visualizations will empower businesses to make faster, more informed buying decisions.

Glo’s Agentic AI architecture enhances decision-making in procurement by making AI-powered summaries and dynamic charts both user-initiated and self-initiated by Glo. This flexibility ensures that users can either request specific visualizations in natural language or let Glo intelligently surface the most relevant insights based on context, user behavior, and sourcing events. This dynamic approach ensures that decision-makers always have the right information at the right time, streamlining procurement processes and making insights more actionable.

Data analysis to provide a competitive edge in pricing strategies
Glo is constantly analyzing both your internal data and third-party information to assess scenarios, presenting the user with concrete actions and insights that line of business managers can immediately leverage for negotiations. Essentially, it provides real-time, accurate, and continuously updated pricing insights, based on industry benchmarks and past spending, for optimized proposal evaluation. We designed Glo to function in two key ways. First, Glo operates in a self-initiated manner, proactively surfacing the most impactful information at the right moment – much like a top-notch specialist who highlights critical insights without taking direct action. Second, users have the flexibility to ask Glo to perform any type of analysis, giving them infinite adaptability to explore and assess whatever they need. In this way, Glo serves as both an intelligent guide and a dedicated analyst.

Using Agentic AI to improve data analytics
With Glo’s AI-driven commercial and qualitative deal analytics, and real-time macro insights, against the entirety of the addressable spend portfolio, both procurement and business teams have instant access to dynamic interactive charts, comparison tables and exportable reports to make help make data-driven decisions with quickly and easily. Natural language prompts can also answer virtually any “wild card” data or insight need, with or without the necessity of charts or graphs.

Furthermore, the endless debate about “data cleansing” is all but eliminated in the case of our customers as the data is built and structure to be clean from the inception of usage. Beyond tackling critical external challenges, the platform’s latest capabilities also streamline pricing analysis across vast amounts of complex internal data – integrating insights from suppliers, contracts, and market trends – enabling users to make smarter decisions at every stage of the sourcing journey. These insights include being able to examine scenarios and options that traditional analytic methods make very time-intensive or complex to do.

Freeing up procurement teams to focus on strategic decision-making
By automating data-intensive tasks and instantly creating dynamic charts, tables and reports that would have taken humans hours, or even days to produce, Glo enables procurement professionals to shift their focus to more strategic activities – becoming an internal business partner, improving supplier relationships, refining category strategy – that help drive better business outcomes. In the past, it would not have been un-common to have pools of analysts labelled “middle office” who’d spend weeks combining supplier proposals and bids into pivot tables and consumable presentations and this weeks of work and valuable time are now all done instantly upon supplier proposals being received. If you want your team’s contribution to be recognized as truly strategic, now is the time to embrace AI in procurement.

Procurement teams, like all business functions, are looking to utilize the power of AI to deliver savings, efficiency, and strategic value — while navigating increasingly complex data and processes. We are meeting these challenges head-on with Glo, the most advanced AI Agent in procurement, and have introduced groundbreaking pricing analysis capabilities that empower Fortune 500 and Global 2000 companies to make faster, better buying decisions across all their enterprise spend.

Revolutionizing Procurement with Next-Gen Analytics
As part of the journey from scope to savings, procurement and business teams can simply ask Glo for detailed project pricing information in natural language. Our award-winning platform, which manages all spend from tail through to complex service categories, instantly creates detailed, actionable, and easily shareable data in the form of AI-powered summaries and dynamic charts and visualizations.

Leading Global 2000 enterprises, including Fidelity Investments, HP, Invesco, Santander, Tesco, and T. Rowe Price, have turned to Globality to better manage company spend. By synthesizing internal and third-party data, Glo enables these organizations to evaluate proposals with confidence and deliver measurable business outcomes.

Delivering New Business Value Amid Complexity
The need for advanced analytics in procurement is more urgent than ever. Gartner’s Procurement Predicts 2025 Report reveals that 63% of procurement organizations fear losing their competitive edge unless they improve their use of data and analytics. While AI promises increased productivity, reduced costs, and faster decision-making, these benefits can only be achieved if procurement teams trust the outputs of their technology.

This is where Glo excels. By providing real-time pricing insights and autonomous analysis capabilities, Glo enables procurement teams to focus on what matters most — strategic decision-making and driving sustainable, bottom-line value.

How Glo’s Capabilities Are Redefining Procurement
Glo’s enhanced analytic tools represent a major leap forward in the way procurement teams approach pricing and proposal evaluation. These features work together to solve critical challenges:

Analytics: Glo provides a foundational layer of intuitive, real-time analytics. Using Agentic AI, procurement professionals can create interactive dashboards, visualizations, and trend reports in seconds, ensuring smarter decisions at every step of the buying journey.

Next-Gen Proposal Insights: This feature builds on Glo’s analytic foundation, offering a deeper dive into pricing data. By using Agentic AI to perform analysis and make recommendations based on industry standards and historical data, Globality gives users a competitive edge in pricing strategies. With this tool, users gain a strategic edge in proposal evaluation and pricing strategies.

Glo Pricing Insights: This feature brings everything together by leveraging Globality's agentic architecture to provide immediate, actionable answers to pricing inquiries from procurement or business users. 

Driving Competitive Advantage with AI
These capabilities don’t just streamline processes—they revolutionize them. With Glo, procurement leaders can better manage risk, enhance productivity, and unlock new opportunities for value creation.

Our mission at Globality has always been ambitious: to transform enterprise spending into a smarter, more inclusive process. With nearly a decade of innovation behind it, we continue to lead the charge in AI-driven procurement solutions. By offering actionable insights, seamless automation, and a human-like approach to decision-making, Glo empowers businesses to thrive in an era of unprecedented complexity.

For procurement leaders looking to stay ahead, Glo’s status as the most advanced AI Agent in the industry, represents a vital competitive advantage enabling them to better manage risk, boost efficiency and productivity, and create new value that goes straight to the bottom line. Through Glo’s next-gen AI-powered analytics, companies gain the tools to drive better business outcomes in the face of unprecedented market and internal complexity.

Our Chief Customer Officer Keith Hausmann highlights the big trends he expects to see in procurement in 2025 and as you would expect his predictions are dominated by AI and how it can help the function to operate more efficiently while driving savings and adding more strategic value:

1. The Year AI Goes Mainstream

In 2024, AI evolved from holding a Bachelor's degree to earning a PhD. Despite this, many CPOs are still sitting on the sidelines, watching peers in Marketing or Engineering dive into the AI revolution.

In 2025, this hesitation will end. The entire spectrum of AI—from LLMs to predictive analytics to autonomous agents—will become procurement’s new playground. To showcase its potential, we partnered with HFS Research to reality-check our claims about AI’s transformative power in sourcing.

What they discovered from our customers such as T. Rowe Price, Fidelity Investments and UCB Pharma surprised even us: automated spend management is delivering instant savings of 20% from more competition and transparency in the sourcing process while the technology enables business users to self-serve, allowing enterprises to competitively manage more spend, even with lower headcount.

If this is the emerging benchmark for AI in Procurement, it’s clear there’s no time left to wait. In 2025 more and more CPOs will embrace the shift to AI-driven strategies to stay competitive and drive better business outcomes.

2. From 'Should We Try AI?' to ‘How Fast Can We Start?’

For three or four years, we’ve been championing the remarkable ROI that AI delivers in sourcing. Back in 2021, we boldly predicted that for procurement to be recognized as a driver of strategic growth and enterprise value, CPOs would need to transform their operating models. This meant embracing a best-of-breed ecosystem that enables multiple digital solutions to work seamlessly together, enhancing user experience while leveraging advanced technologies to eliminate repetitive manual tasks and empower teams to focus on more meaningful, value-creating work.

Fast forward to 2025—and that vision is becoming reality. AI is elevating procurement professionals from being perceived as back-office operators to becoming consultants and trusted advisors with profound business acumen.

In that same set of predictions, we also highlighted a critical shift that’s now materializing: Procurement processes must become autonomous and self-serve whenever possible. By democratizing procurement—particularly for spend outside of procurement’s direct control—generative AI is making this transformation a reality.

Organizations we’ve been engaging with since then are now telling us that in 2025, the question is no longer if AI should be leveraged in procurement, but rather who will adopt it—and how quickly. The momentum is undeniable, building to such a degree that it’s hard to imagine any other technology dominating the conversation over the next twelve months.

3. The Next Big Thing: Agentic AI

Agentic AI has the power to completely revolutionize the field. Why? Because it promises to deliver exactly what CPOs have long been dreaming of.

When I talk to our customers about the future of [Globality’s AI Agent] Glo, I describe a scenario where they can simply ask: ‘Hey Glo— could you scan my spend portfolio and find the top three categories that have the most supplier fragmentation and recommend which 15% of my supply based could handle the majority of my spend?"’

When procurement leaders hear that, they tell me, ‘That’s my dream.’ Could 2025 be the year that dream starts to come true? Only time will tell, but my team firmly believes that Agentic AI is on the verge of making it a reality.

4. The Value of AI in Procurement is in the Billions and Counting

Early adopters of AI in procurement are delivering such significant value to their organizations that their contributions are now being highlighted in company annual reports, as has happened with BT. BT noted that '[Globality’s] generative AI features are accelerating our scoping processes and streamlining how we define our needs, while its new E-Negotiation and online NDA tools are simplifying the entire sourcing process.' Similarly, Santander has reported notable benefits, and Harold Wu, CPO at T. Rowe Price, achieved over  $40 million in operational savings—a success highlighted by the company CEO in The Financial Times’ Ignites news service. Expect more such public declarations to emerge soon.

Looking ahead to 2025 and beyond, we estimate that the augmentation of the CPO’s office with these advanced technologies will unlock substantial savings and redefine the strategic role of procurement in driving enterprise value.

5. A New Class of AI-driven CPOs Will Lead the Function

Forward-thinking Chief Procurement Officers who are stepping up to the plate to remind us of the value of the function, and what a new, AI-led, data-driven approach to it can offer are on the rise.

This isn’t solely about Globality’s customers—it’s a broader trend led by trailblazers like Paula Glickenhaus at Bristol Myers Squibb, Cyril Pourrat at BT Sourced, Charles Letizia at Tesco and Matt Prichard at Fidelity. These leaders are leveraging autonomous sourcing to revolutionize their organizations’ indirect spend strategies and embracing cutting-edge, digital-first methodologies.

There’s a palpable buzz within the profession about the new ‘rock star’ status of forward-thinking CPOs. Millennials and Gen Z business leaders are also driving this momentum, rejecting outdated, cumbersome RFx processes in favor of fast, efficient digital solutions. In 2025, we’ll see even more innovative CPOs emerging and a surge of interest from digital natives in this historically under-automated part of the business."

Click here to book a demo or here to explore more customer stories and see firsthand how AI-driven sourcing is shaping the Future of Procurement.

John Paterson, former Chief Procurement Officer at IBM, once described the relationship between the CFO and the CPO “the most important relationship that exists or needs to exist within the enterprise.”

Back in 2014, he was absolutely right. He was also right when he acknowledged that this relationship has often been fraught with tension. And, unfortunately, the progress made since then has been minimal.

Why? Because if you’re a CPO, it can be a struggle to always make your voice heard. People recognize that procurement handles various tasks, delivers savings, sources categories, manages risk and compliance and improves supplier costs. However, the CFO often struggles to see these efforts reflected in tangible positive changes on the P&L.

The reality is that the connectivity between budgets and budgeting and procurement—in other words, between FP&A and procurement—is sub-optimized. As a result, if a company sets a $73 million budget for the Chief Marketing Officer (CMO) and procurement helps save $3 million, the CMO will still end up spending the entire $73 million. In an early outsourcing deal, finance essentially said to us, "I'm just tired of procurement telling me how many auctions they ran and how much savings they generated because I never see this in the P&L!"

This also happens because procurement is not brought into the process until the last minute. Procurement should be an enabler to achieve the same or more with a smaller budget, but this often doesn’t happen because the business sees the procurement function as a blocker. A significant portion of procurement's day involves someone coming to them and saying, "I need you to finalize this deal for me; I've already figured it out."

Procurement then asks, "What process did you follow, and what evidence do you have for choosing that supplier?" The response is more often than not along the lines of, "I don't have any, but I'm in a rush—so just do it." Further, even when procurement is involved early in the decision-making process, the loop is not closed with the FP&A budgeting process, allowing value to be re-spent without much rigor or governance.

Finding the metrics that underline your contribution

As it stands, then, there's little reason for the CFO to prioritize this relationship. As John Paterson pointed out years ago, both the CFO and the CPO have the best interests of the business at heart, but they can't always agree on how “best” is operationalized and managed from the beginning of a buying process, through to budget governance.

However, the good news is, there's a way to make the value generated by procurement visible in the P&L and get this relationship back on track. What is needed is a mechanism to finally get some real visibility into spending. If a business needs to generate cost savings, as many do right now, they should reduce the budgets and then involve procurement to ensure that departments like Marketing and IT still get everything they need, but with a 10% lower budget or whatever reduction makes the most sense.

Realistically, that’s only going to happen if we move closer to true zero-based budgeting. This approach involves asking each year what the business needs to achieve and then building the budget from zero, based on what is required to meet those goals.

If we adopted this approach—driven by the AI-powered autonomous sourcing that many of our customers are implementing—procurement and finance would establish a strong and cohesive relationship. For instance, at UK retail giant Tesco, a new “Spend to Invest” plan exemplifies this. Procurement generated £645 million ($823 million) in value, which the CFO then reinvested to enhance pricing power and expand into new countries, regions, and business lines.

And in the case of global investment management leader T. Rowe Price, a new approach to procurement using AI has helped increase the function’s internal visibility and therefore its standing with finance. 

According to its Chief Procurement Officer, Harold Wu, every member of its management are now big supporters of the discipline. As a result, the firm, was able to generate more than $40 million in operational savings. As he says, “If you're able to increase the value, that gets noticed.”

Using AI to create a clear link between cost reduction efforts and increased budget and working capital for your organization? Sounds like a C-suite individual destined for success!

To truly unlock the value of procurement, CPOs must transcend traditional boundaries and align closely with their counterparts in the C-suite, particularly the CFO, impressing upon them the need to invest in AI-powered digital platforms to drive new efficiencies and cost savings.

However, the challenge lies in securing the necessary funding to implement these technologies, particularly when the benefits of procurement’s initiatives are often realized in other departments’ budgets.

In conversation with Eric Shaver, Managing Partner at Kinsei Partners, on the latest Spend Sessions podcast, I discussed how procurement leaders can obtain the funds they need to invest in game-changing digital technology by better communicating the value that sourcing teams bring to the business.

CPOs face the daunting task of convincing CFOs to allocate funds for procurement technologies that will yield savings across the organization. Eric emphasizes that this conversation needs to shift from a budget request to a strategic discussion about enterprise-wide value. CFOs are focused on optimizing operating cash flow, free cash flow, and ultimately, shareholder value. Therefore, CPOs must frame their technology investments not as procurement tools, but as operational assets that will drive margin improvement and enhance the company’s financial performance.

A critical step for CPOs is to construct a robust business case that resonates with the CFO’s priorities. This involves demonstrating how procurement technology can optimize key financial metrics, such as EBITDA margin and working capital. For example, by reducing indirect spend, CPOs can have a direct impact on SG&A expenses, which in turn improves EBITDA. Similarly, effective procurement strategies can shorten the cash conversion cycle, freeing up capital that can be reinvested in the business.

Eric suggests that CPOs should leverage financial modeling to highlight the projected impact of these technologies on the company’s bottom line. It’s not enough to be conservative—CPOs must present the most accurate and comprehensive case possible, including all potential savings and efficiencies. In doing so, they demonstrate that their initiatives are not just cost centers but are strategic investments that contribute to the company’s overall financial health.

Artificial Intelligence (AI) is a game-changer in the procurement space, offering unprecedented opportunities to optimize sourcing, improve supplier negotiations, and streamline processes. Eric describes AI as a “force multiplier,” capable of dramatically increasing efficiency and decision-making speed. However, the key to successfully integrating AI into procurement lies in convincing the CFO of its value.

AI’s potential to enhance procurement is significant, but it requires upfront investment. Here again, the CPO must make a compelling case to the CFO, showing how AI can drive enterprise-wide benefits. Whether it’s through improved supplier management, enhanced demand forecasting, or automated workflows, AI can help procurement teams deliver measurable financial results.

4. Position Procurement as a Strategic Asset
One of the biggest challenges CPOs face is overcoming the perception that procurement technology is a non-essential expense. As Eric points out, procurement is often mislabeled as a back-office function, when in reality, it has the potential to influence every aspect of the business. By positioning procurement technology as an operational asset rather than a procurement tool, CPOs can shift the conversation from cost to value creation.

This repositioning is crucial in the current economic climate, where rising interest rates and the cost of capital are squeezing margins. CPOs who can demonstrate how their initiatives will optimize free cash flow and improve return on invested capital will find it easier to secure the necessary funding.

Final Thoughts: The Path Forward
For CPOs, the path to success lies in deepening their financial fluency and aligning their goals with those of the CFO and the broader C-suite. By presenting procurement initiatives as strategic investments that drive enterprise-wide value, CPOs can secure the funding they need to implement the digital tools that will transform their function.

Eric’s advice is clear: don’t shy away from the financials. Understand how your initiatives impact the company’s key metrics, build a strong business case, and position procurement as a strategic asset that drives shareholder value. In doing so, CPOs can not only secure the funding they need but also elevate their role within the organization, becoming true partners in driving business success.

The office of the CFO has traditionally had six functions, or areas of business, that together form the work and tasks of the finance team. Each area has built up an accompanying technology stack with increasing levels of automation being injected into processes as finance leaders strive for new efficiencies and cost reductions while increasing governance and control to improve risk management.

Across each function, new software from innovative vendors has become popular with CFOs as they’ve seized on the imperative to automate repetitive, low-value tasks and free up their teams to focus on more strategic work that creates opportunities for enterprise investment and growth.

• Procure to Pay systems such as SAP, Coupa and GEP have established themselves as an integral part of the CFO office, automating the purchasing lifecycle – from requisitions and POs to receiving goods and payment. 
• Order to Cash has seen the advent of autonomous receivables through technology pioneered by the likes of Sage, Oracle and Esker.
• Treasury has automated both cash forecasting and cash management with software such as Kyriba.
• Record to Report has successfully implemented autonomous accounting with tools like High Radius and BlackLine.
• FP&A uses planning tools like Anaplan to transform a company’s financial decision-making with connected planning and insights.
• Tax software such as Vertex automates and digitizes processes from exemption certificate management to B2B validation to invoicing.

But what many CFOs don’t realize is that there is now, in fact, a seventh area of business within their office and that this function offers the biggest and quickest opportunity to deliver improved productivity and increased efficiencies through the use of AI-driven automation – the chance to pick the lowest-hanging fruit and demonstrate immediate ROI on investment in new technology.

Spend management refers to every dollar a company pays out for goods and services but is often overlooked and hidden away in a dark corner of procurement. Effective spend management helps to ensure that every expenditure is necessary, strategic, and provides value to the company. It also involves analyzing spending patterns, identifying inefficiencies, and making adjustments to improve financial performance.

If a CFO brings more of their company’s spend under management, instead of allowing the business to bypass procurement with ‘rogue’ or ‘maverick’ spend then not only will they see 10-20% cost savings due to increased supplier competition, but cycle times will reduce by up to 90% as slow manual processes are automated.

Using automated spend management technology such as Globality, global enterprise companies can reduce the RFX process from 3-6 months to 27-35 days on average. This dramatic increase in speed and efficiency comes at all stages of the purchasing journey.

With AI-driven autonomous sourcing, the business user can still lead the process and include their preferred suppliers. However, within rules and guardrails set in place by procurement that will enhance competition and improve compliance and risk management by ensuring all purchases adhere to company policies.

Reducing the sourcing cycle from 3-6 months to 27-35 days

Engagement Initiation (Was 1 week, Now 1 day)

• Business User (BU) raises requestion for RFx
• Schedule kick off call with BU (to discuss process)

Supplier Information & Requirement Gathering (Was 2-6 weeks, Now 2-3 days)

• Buyer sends NDA to new suppliers
• Buyer/BU partner get RFX documents together
• Buyer/BU agree timeline

RFx quotation phase (Was 2-4 weeks, Now 8-10 days)

• Buyer issues RFx email to selected suppliers which will include timeline & related documents

Quote Evaluation (Was 2-4 weeks, Now 2-3 days)

• Buyer receives quotes back
• BU/Buyer evaluate quote

Presentation (Was 2-4 weeks, Now 5-8 days)

• Shortlist selected supplier to present to BU
• Buyer starts negotiation conversations before and after presentation
• Buyer/BU select supplier

Contracting Stage (Was 1-6 months, Now 3-5 days)

• Contracting process begins

RFx Close Out (Was 1-2 weeks, Now 1-2 days)

• Buyer informs unselected suppliers

In many cases, G2000 companies are enjoying even greater efficiencies than those listed above. Iconic UK-based telecoms provider BT reduced its cycle time to market from seven to ten days down to just one day and reported this substantial efficiency gain in its 2024 Annual Report.

These figures were based on more than 1000 projects sourced on Globality’s AI-driven platform across nearly £8bn of spend so represent substantial new value to the business.

“We are now using generative AI so that our teams just have to type one sentence and the generative AI will help them along to do everything all the way to engaging with suppliers. It has super simplified the whole process,” says Cyril Pourrat, BT’s Chief Procurement Officer.

In addition to those speed to market improvements, BT has enjoyed double-digit savings across that spend as users collaborated with colleagues and suppliers and significantly reduce costs through increased competition, data-driven insights, and intelligent analysis.

Similarly, one of the world’s most recognizable sporting goods brands has adopted autonomous sourcing and its business users now self-serve for all events up to $3m with no involvement from procurement whatsoever. That has freed up 30 people from its Business Process Outsourcing office to work on other, higher-value projects – huge value to the company.

In an era where every dollar counts, especially in the face of economic uncertainties, managing spend more effectively can unlock significant value for a company, directly impacting its bottom line and bridging the gap between finance, procurement, and overall corporate strategy.

Adding spend management as the seventh function of the CFO office is not just a necessity; it’s an opportunity for CFOs to drive greater value for their organizations. The scope of their responsibilities has expanded beyond traditional financial management and CFOs are now strategic partners in business decision-making, playing a crucial role in driving growth and innovation.

Click here to book a demo of our award-winning AI-driven spend management platform.