Progress Agentic RAG, a cloud-based platform built to help organizations make sense of their scattered digital files, has just won the 2026 Artificial Intelligence Excellence Award in the Retrieval-Augmented Generation category. The recognition, announced on May 14 by the Business Intelligence Group, underscores a quiet but crucial shift happening across enterprises: the move from experimental AI toward tools that actually work in the real world and earn people's trust.
The core problem that Progress Agentic RAG solves is deceptively simple but widespread. Most organizations are drowning in unstructured data—contracts buried in folders, support tickets scattered across systems, research locked in email chains. When teams try to build AI systems that tap into this knowledge, they hit a wall: the data is fragmented, governed poorly, and hard to update without breaking everything downstream. Progress designed Agentic RAG to become what the company calls an "enterprise knowledge layer," transforming data from over 60 different formats into a single, controlled foundation that AI systems can reliably pull from.
What sets this platform apart is its flexibility and built-in safety guardrails. Organizations can ingest their unstructured assets once, then maintain centralized control over how the AI retrieves, evaluates and protects that information. Teams can swap large language models at the feature level without having to rewire their entire data pipelines. The platform requires no coding to deploy, and it includes built-in evaluation tools and governance features that trace where answers come from—a critical feature when accuracy and compliance matter.
The real proof is in how companies are using it. A European law firm recently deployed Agentic RAG to nearly 300 professionals across its practice, empowering them to handle thousands of legal inquiries each month while cutting manual research time significantly. Sales teams are building AI assistants that pull from contracts and customer histories. Support organizations are creating copilots that surface relevant case files instantly. Research teams are searching across internal expertise in ways that weren't possible before. Each application runs through the same governed knowledge layer, which means better security, consistency and accountability.
John Ainsworth, Progress's executive vice president overseeing application and data platforms, framed the award as recognition of a deeper mission. "Progress Agentic RAG was designed to equip organizations with GenAI they can rely on—technology that not only accelerates productivity, but enables transparency, compliance and real-world performance," he said. That emphasis on trustworthiness matters more than it might initially appear. GenAI has generated warranted excitement, but also legitimate concerns about hallucinations, bias and regulatory risk. Tools that provide citation-backed answers and maintain clear audit trails address those concerns head-on.
The 2026 award reflects a broader trend: AI's center of gravity is shifting. The Business Intelligence Group recognized winners across 36 industries and more than 15 countries, all spotlighting companies moving AI beyond pilots and proofs-of-concept into responsible, production-ready systems. Agentic RAG has collected several other accolades recently—Overall Data Technology Innovation of the Year at the 2026 Data Breakthrough Awards, among others—suggesting that the market is validating this particular approach to making enterprise AI both powerful and trustworthy. For organizations struggling with how to operationalize AI safely, that's a signal worth paying attention to.