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.