Globality Launches Glo 2.0 for Autonomous Enterprise Sourcing
Globality launches Glo 2.0 for autonomous enterprise sourcing as procurement vendors compete to automate supplier negotiation and buying workflows.
The AI platform can run sourcing events from intake through negotiation and award scenarios, intensifying competition in autonomous procurement.
Sept. 8, 2026: Globality launched Glo 2.0 on Tuesday, expanding its enterprise sourcing platform with AI agents designed to manage sourcing events from purchase intake through supplier negotiation and award recommendations. The launch pushes Globality further into autonomous procurement as large enterprises test how much decision-making and supplier interaction they are prepared to delegate to AI.
Glo 2.0 is available immediately as an upgrade to Globality’s existing Glo platform, according to the company’s launch announcement.
The platform introduces two operating models. Autonomous Mode allows Glo to make decisions, advance between sourcing stages and negotiate directly with suppliers within configured parameters. Collaborative Mode keeps procurement employees more directly involved in supplier communication and negotiation.
The company’s Glo 2.0 platform overview says the system can draw on spend history, market information and supplier performance, revise negotiation strategies as new information emerges and present procurement teams with multiple award scenarios.
Key Facts
- Globality launched Glo 2.0 on Sept. 8, 2026.
- The platform covers sourcing activities from intake and RFx creation through supplier negotiation, analysis and award recommendations.
- Procurement teams can choose between Autonomous Mode and Collaborative Mode.
- Globality says its agents can negotiate factors including price, quality, delivery, service and risk.
- Glo 2.0 is available immediately as an upgrade to Glo.
- The launch comes as Keelvar, Pactum, Arkestro and other procurement technology vendors also expand autonomous sourcing and AI-driven negotiation capabilities.
How does Globality Glo 2.0 work?
A sourcing process can begin with an employee describing a purchasing requirement. Glo can interpret the request, apply procurement rules and determine how the event should proceed.
The platform can then prepare sourcing materials, identify potential suppliers, collect responses and normalize information submitted in different formats.
During negotiation, Globality says Glo can communicate directly with suppliers and negotiate multiple commercial variables rather than focusing only on price.
The company’s autonomous negotiation documentation says organizations establish sourcing objectives and controls while the system chooses negotiation approaches and sends supplier messages. Procurement teams retain responsibility for reviewing award scenarios and approving the final decision.
Globality also says its supplier-selection system records scoring, trade-offs and reasoning behind award recommendations, creating an audit trail for compliance reviews.
HP points to faster sourcing, but evidence remains vendor-hosted
Globality has customer backing for its broader autonomous-sourcing approach.
HP is among the enterprises using the technology. Steve Dyson, vice president of global indirect procurement at HP, said sourcing work that previously took weeks can now move into hours using Globality.
HP Global Head of Indirect Procurement Chris Patafio has similarly described the technology as part of the company’s effort to operate more efficiently while facing pressure on headcount and costs.
In a Globality-hosted discussion, Patafio said HP was looking for ‘new efficiencies’ while reducing both headcount and costs.
The comments provide a customer perspective rather than a Globality executive claim, but they were published through Globality’s own channels rather than gathered through an independent interview.
Globality’s customer materials also attribute deployments to companies including Tesco, Bristol Myers Squibb, Fidelity, Invesco and T. Rowe Price. Reported savings and efficiency improvements on those pages are customer or vendor-reported figures rather than independently audited benchmarks.
Globality is not alone in autonomous sourcing
Globality describes Glo 2.0 as the first fully autonomous sourcing platform, but the broader market already includes vendors offering autonomous sourcing, automated supplier negotiation and agentic procurement.
That makes the definition of ‘fully autonomous’ important.
Keelvar launched a next-generation Autonomous Sourcing product in 2023 and now says its technology can automate sourcing from intake and supplier selection through bidding and award, with organizations configuring the degree of human intervention.
Pactum takes a negotiation-centered approach. Its agentic procurement platform uses AI agents that can execute supplier negotiations under buyer-defined policies, with either autonomous execution or human approval depending on the workflow.
Arkestro also automates supplier negotiations. Its predictive procurement platform uses AI, game theory and behavioral science to generate suggested offers, run competitive negotiation rounds and produce supplier counteroffers while buyers retain control over strategy and award decisions.
The products are not identical. Keelvar has historically emphasized autonomous tactical and tail sourcing, Pactum has focused heavily on scaled negotiation, and Arkestro centers its positioning on predictive procurement.
Globality’s Glo 2.0 pitch is broader: a single system managing the sourcing process from intake through supplier interaction and award scenarios with configurable autonomy.
That distinction will ultimately depend less on terminology than on how much of a real enterprise sourcing event each platform can execute without human intervention, what controls buyers retain, and how reliably those systems perform across different categories and supplier relationships.
Autonomous negotiation also creates new risks
Giving AI authority to negotiate with suppliers changes the risk profile compared with using AI simply to summarize bids or recommend next steps.
Deloitte says organizations adopting agentic AI in sourcing and procurement need clearly defined accountability, compliance checks, auditability and escalation procedures because autonomous systems can make dynamic decisions that introduce risks including errors, bias or regulatory violations.
Its guidance also recommends defining when humans remain in the loop or on the loop, setting explicit boundaries on agent authority and controlling the access autonomous agents have to procurement and enterprise systems.
Data quality presents another challenge.
An autonomous negotiation system may be able to execute quickly, but its commercial judgment still depends on the information, objectives and constraints supplied to it.
McKinsey has previously noted that reliable supplier data is critical to automated sourcing. Its procurement research also distinguishes standardized purchasing processes, which are better candidates for automation, from strategic or complex negotiations where relationships and human judgment continue to play an important role.
Supplier relationships are another consideration.
A system optimizing aggressively for price could produce a technically successful negotiation while creating problems elsewhere if objectives do not adequately account for service quality, capacity, strategic importance or long-term supplier relationships.
Globality says Glo addresses that issue by considering variables including quality, delivery, service and risk alongside price and by applying quality controls to supplier communications. Those safeguards are company-described capabilities; their effectiveness across large numbers of autonomous negotiations has not yet been independently established.
Why enterprises are still interested
The potential upside is substantial enough that procurement organizations continue to experiment with greater autonomy.
Deloitte’s 2025 Chief Procurement Officer survey found procurement leaders increasingly exploring AI and autonomous processing while also facing capability gaps, competing priorities and pressure to generate greater value with existing resources.
McKinsey has documented early enterprise deployments in which AI agents assist with sourcing communications, negotiation preparation, counteroffers and trade-off analysis. Its research suggests the strongest near-term use cases combine automation with existing procurement expertise rather than assuming every commercial decision can be handed entirely to software.
That creates an opening for platforms such as Globality, Keelvar, Pactum and Arkestro: enterprises want to put more spend through competitive sourcing without expanding procurement teams proportionally.
Security is becoming another part of the equation as agents gain permission to take actions across enterprise systems.
Globality showcases Glo 2.0 at Procurement LIVE London
The Glo 2.0 launch coincides with Procurement LIVE: The London Summit, being held Sept. 8-9 at the QEII Centre in Westminster.
Globality executives are participating in sessions focused on autonomous sourcing and AI in strategic procurement, giving the company an immediate venue to demonstrate the technology to procurement leaders.
The conference expects more than 1,000 procurement professionals and senior decision-makers and more than 50 speakers covering AI, sourcing, procurement orchestration and contract management.
What does Glo 2.0 mean for enterprise procurement?
Glo 2.0 is another indication that procurement AI is moving beyond copilots that generate text, summarize information or recommend decisions.
The emerging competition is over execution.
Globality, Keelvar, Pactum, Arkestro and other vendors are increasingly asking procurement teams to allow AI systems to contact suppliers, negotiate commercial terms, evaluate responses and progress sourcing events.
The business case is straightforward: automate high-volume sourcing that procurement teams otherwise lack the capacity to address.
The harder questions concern control.
Enterprises evaluating autonomous sourcing will need to determine which categories can safely operate with minimal intervention, what supplier interactions require human judgment, how agent decisions will be audited and when employees must be able to interrupt or override a negotiation.
For Glo 2.0, adoption will therefore depend not only on whether its agents can negotiate autonomously but on whether procurement leaders trust the controls around that autonomy.
Pricing for Glo 2.0 was not yet confirmed in the launch information reviewed.
