Fragment offers an Autonomous Context Engine that integrates with existing ERP, procurement, and finance systems to create a unified operational context for AI agents. These agents autonomously resolve high‑friction source‑to‑pay exceptions such as invoice mismatches, PO errors, and supplier disputes, providing explainable, audited actions without data migration or platform lock‑in. The solution continuously learns from each transaction, delivering rapid cost savings and scalable automation across transactional workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face high volumes of procurement exceptions—invoice mismatches, purchase order errors, and supplier disputes—that require manual judgment across fragmented, siloed systems. The lack of integrated, contextual AI leads to prolonged resolution times, high rework costs, and limited ROI from automation projects.
Solution
Fragment provides an Autonomous Context Engine (ACE) that ingests data from ERP, procurement, finance systems, documents, and internal tribal knowledge to build a unified operational context. AI agents grounded in this context autonomously resolve high‑friction exceptions by cross‑referencing systems, applying learned judgment, and executing corrective actions without human intervention. The platform layers on existing infrastructure, requiring no data migration or extensive integration projects, and continuously improves through a continual learning engine that refines resolution strategies from each transaction. Governance features deliver explainable actions with full audit trails, while enterprise‑grade security and scalability ensure reliable production use.
Target Audience
Primary customers are large enterprises and mid‑market organizations with complex source‑to‑pay processes, including procurement, finance, and supply‑chain teams that need to reduce exception volumes and accelerate transaction cycles.
Features
- Unified context model that connects to ERP, procurement, finance, and document sources while capturing team expertise
- Autonomous agents that not only identify but also execute resolutions for invoice, PO, and supplier dispute exceptions
- Continual learning engine that updates exception handling rules based on each processed transaction
- Governed, explainable actions with detailed audit trails for compliance and traceability
- Zero‑migration deployment that operates on top of existing systems without requiring re‑architecture
- Enterprise‑ready scalability from tens to millions of transactions with SOC 2‑compliant security and high‑availability architecture