Is Globality’s AI Redefining the Sourcing Landscape?

For decades, the Request for Proposal (RFP) has been the bane of enterprise procurement. The traditional process of writing rigid specifications, managing disparate vendor emails and manually analysing bids is notoriously slow.

As a result, it often takes six to nine months to cross the finish line, leaving business stakeholders frustrated and procurement teams bogged down in administrative friction.

While traditional software giants have successfully digitised the paperwork behind this process, there still remain underlying challenges. 

Globality is taking a radically different approach. Instead of trying to out-feature the massive, entrenched Source-to-Pay (S2P) suites, it is setting its strategy for complex services spend by eliminating the legacy RFP in favour of autonomous, agentic AI.

Traditional ERP vs. Agentic AI

While legacy platforms are excellent at managing transactional spend as systems of record, compliance checkposts and catalogue managers, they struggle with complex services such as global marketing campaigns, legal counsel, bespoke software development or strategic consulting.

This is where Globality comes in. The company has positioned itself as a primary pioneer of agentic sourcing; AI that acts as an autonomous agent, not just a chatbot. 

Led by technology entrepreneur Joel Hyatt, the Silicon Valley-based company’s philosophy is that procurement should be driven by consumer-like ease of use backed by enterprise-grade cognitive capability. 

Globality actively manages billions of dollars in multi-category global spend for enterprise giants like Bristol Myers Squibb, Santander Group and Invesco.

Globality combines the most powerful large language models with domain-specific classifiers and classical machine learning algorithms, both trained on public supplier data, to power every stage of the sourcing lifecycle.

This hybrid approach, paired with deep context management expertise in procurement workflows, allows us to apply the right computational model to each problem, from interpreting purchase intent to evaluating suppliers and executing autonomous negotiation.

Globality in the sourcing spaces

Globality’s primary solution that stands out from its peers is its proprietary AI agent, Glo. Instead of requiring users to fill out tedious, multi-page forms, the platform leverages conversational intake and data-driven execution to automate the entire sourcing lifecycle.

How does it work?

Globality’s platform transforms enterprise procurement by replacing months of requirement drafting with conversational scoping, using natural language to interpret business intent, automatically draft briefs and map them to global suppliers.

This agentic workflow achieves radical timeline compression. In an enterprise rollout at pharmaceutical giant Bristol Myers Squibb, the typical RFP cycle plummeted from six months to just 27 days, enabling the organisation to process 10 times more sourcing events without adding headcount.

Furthermore, the platform drives autonomous negotiation and 20% average cost savings. By analysing incoming proposals line-by-line against historical market data, the AI instantly pinpoints cost outliers. This empowers enterprise buyers to execute automated, data-backed counter-offers, consistently securing highly competitive rates.

The competitive landscape of enterprise software is undergoing a fundamental shift. Globality’s market position proves that the future of procurement lies in autonomous execution. By using agentic AI to solve the massive, unstructured problem of complex services, Globality isn’t just modifying the sourcing landscape, it’s redefining it.