How Progress OpenEdge ISVs Can Use Agentic RAG to Enhance Their Applications and Monetize Intelligence

Independent software vendors (ISVs) running on Progress OpenEdge already deliver sophisticated, mission-critical applications that power core business operations. The opportunity today is not to replace those systems, but to enhance them with intelligence that improves user experience, drives differentiation and creates new revenue streams.

With the Progress Agentic Retrieval-Augmented Generation (RAG) and the OpenEdge Model Context Protocol (MCP) Server, ISVs can modernize their applications in a practical, low-risk way.

What the Progress Agentic RAG and the OpenEdge MCP Server Enable

• AI that is grounded in your application by combining structured transactional data with unstructured content like documents, policies and support history
• AI that reasons through complex questions and multi-step workflows rather than simply retrieving information
• AI that operates securely through MCP-governed access, ensuring all interactions respect business rules, permissions and application logic

The Reality for OpenEdge ISVs

OpenEdge ISVs are not starting from scratch. They support customers who depend on their applications to run critical business processes, often across environments that have evolved over many years. These applications are proven revenue-generating systems that customers rely on daily.

They already contain what generic AI solutions lack:

• Deeply structured operational data
• Proven workflows aligned to real business processes
• Embedded industry-specific logic and rules
• Longstanding customer trust

These are not just technical strengths. They are commercial advantages built over decades that competitors and generic AI tools cannot easily replicate.

At the same time, user expectations are changing. Across the enterprise, users increasingly expect conversational interfaces, AI-assisted analysis and systems that proactively surface insights. Applications that rely heavily on reports, dashboards and expert interpretation can begin to feel reactive, even if they are highly capable.

The challenge is not functionality. It is accessibility and intelligence. How quickly can users move from data to insight and from insight to action? Progress Agentic RAG addresses this by transforming existing application intelligence into something easier to access, understand and monetize as part of the product.

What Progress Agentic RAG Enables for Existing Applications

Agentic RAG allows ISVs to layer AI-driven intelligence on top of their existing OpenEdge applications without rewriting core systems or changing how customers work.

Instead of navigating multiple screens or running reports, users can interact with application data using natural language. They ask questions in plain language and receive responses grounded in the same data, rules and workflows the application already enforces.

Agentic RAG grounds responses in both structured OpenEdge data and relevant unstructured content such as videos or PDFs. It breaks down complex questions and multi-step requests into clear, actionable insights using built-in reasoning. It delivers outputs that align with the application’s business logic and domain rules.

The result is AI that enhances the application rather than bypassing it. Workflows become more valuable and users can move from question to answer to action more quickly.

The Role of the Progress OpenEdge MCP Server

Embedding AI into long-lived enterprise applications requires governance, security and alignment with existing logic.

The Progress OpenEdge MCP Server provides this foundation. It acts as a secure bridge between Agentic RAG and the OpenEdge application, exposing APIs and services in a controlled, AI-ready way. This allows AI agents to retrieve context, apply reasoning and interact with workflows without bypassing business rules.

The OpenEdge MCP Server ensures AI interactions:

• Respect existing permissions and access controls
• Follow the same validations and governance rules as the application
• Integrate cleanly with established services and workflows

This approach allows ISVs to confidently extend AI into mission-critical environments while maintaining full control over how it operates.

A Practical Path Forward

Adopting AI does not require large-scale disruption. Successful ISVs take an incremental approach.

They begin with high-value use cases where users already face complexity or time-consuming tasks. From there, they introduce embedded intelligence that delivers immediate value through better explanations, faster insights or guided workflows.

As confidence grows, they expand into more advanced scenarios where AI can support multi-step processes and proactive experiences.

Throughout this process, the core application remains intact. Agentic RAG enhances what already works, allowing ISVs to modernize while protecting existing investments.

Conclusion

OpenEdge ISVs are uniquely positioned to succeed with AI because their applications already contain the data, context and expertise needed to deliver meaningful intelligence. Progress Agentic RAG, combined with the OpenEdge MCP Server, unlocks that value by embedding secure, context-aware AI directly into existing workflows.

This enables ISVs to strengthen their products, meet evolving customer expectations and create new revenue opportunities without rewriting trusted systems.

To explore how these technologies can enhance your application and drive revenue growth, read the full white paper today.