Built for the complex direct procurement operations for the world’s largest physical goods companies, Fragment’s platform investigates and resolves purchasing and payment exceptions across existing systems, taking on the manual reconciliation that slows operations and consumes procurement teams’ time.
“We deliberately started with direct procurement at large enterprises with the most complex supply chains because solving that challenge could fundamentally change what enterprise software can do,” says Pranav Mulgund, co-founder and CEO of Fragment. “Procurement teams have spent too much of their time chasing discrepancies across systems. AI now makes it possible to build software that understands the business and carries that work through. Our ambition is to make complex operational work a capability of software itself, freeing buyers to apply their expertise to the decisions and relationships that secure supply, protect margins and help the company grow.”
Key takeaways:
· At the center of Fragment is its Autonomous Context Engine (ACE), which connects information across disparate systems and captures the company-specific policies, relationships and institutional knowledge that experienced employees rely on. Fragment’s agents use that understanding to investigate exceptions, determine the appropriate response and carry out authorized resolutions end-to-end, rather than flagging issues or recommending next steps.
· ACE works with data where it already lives, without requiring companies to migrate it into a new system or undertake a lengthy integration project. This allows customers to deploy quickly across existing infrastructure and expand automation into additional workflows as the system learns.
