Panaya Accelerates AI Adoption with TensorOps’ "SeeMore" Agent

In a landmark collaboration, TensorOps and Panaya successfully launched the "SeeMore" AI Agent into production in just three weeks.

By utilizing TensorOps' advanced Retrieval-Augmented Generation (RAG) framework, this production-grade AI Agent seamlessly integrates with Panaya's complex data ecosystem. The result is a sophisticated, context-aware assistant that drastically reduces the time users spend navigating technical documentation.

The Challenge: The Friction of Enterprise Knowledge

Navigating technical documentation is a significant hurdle for users of large enterprise systems. Whether internal employees or external clients, users often struggle to find specific answers within complex SaaS environments without deep prior knowledge.

Panaya sought to eliminate this friction with SeeMore, a core business assistant designed to serve as the ultimate "source of truth." The goal was to allow users to interact naturally with the company’s knowledge base, retrieving accurate answers whether the context spanned a single help page or the entire documentation library.

The Strategic Dilemma: Build vs. Buy?

As the new generation of Agentic AI becomes a cornerstone of the modern LLMOps landscape, companies face a critical decision: build from scratch or buy off-the-shelf.

• The Trap: Many "out-of-the-box" solutions perform well in controlled demos but fail to handle the nuance and security requirements of real-world enterprise environments.
• The TensorOps Approach: TensorOps bridges this gap with a hybrid model—combining a robust, pre-built code infrastructure with bespoke professional services. This ensures the solution is not just "deployed," but deeply integrated into the client's specific architecture.

The Solution: "SeeMore" Architecture

TensorOps deployed a custom RAG framework tailored to Panaya’s specific needs. The scope included:

• Enterprise Guardrails: Advanced filtering to ensure data privacy, security, and response accuracy, preventing hallucinations.
• Seamless Data Integration: Effortless connection to Panaya’s existing data lakes and documentation repositories.
• Flexible Templating: A versatile architecture that allows Panaya to switch data sources or update the model without rebuilding the entire system.
• End-to-End Service: A "One-Stop Shop" experience, managing everything from initial data strategy to final production deployment.

Key Results & Business Impact

The partnership delivered immediate operational value:

• Rapid Time-to-Market: A fully functional, production-ready AI Agent was built and launched in just three weeks.
• High-Fidelity Retrieval: The solution allows users to navigate Panaya’s Success Center with natural language, significantly improving the user experience (UX).
• Future-Proof Scalability: The TensorOps framework is designed for expansion. It allows any future data source to be plugged into the RAG architecture with minimal overhead, supported by dedicated engineering.

Conclusion

Panaya's successful launch of "SeeMore" highlights the efficiency and adaptability of the TensorOps Agentic Framework. While many companies struggle with multi-month AI integration projects, TensorOps demonstrated the capacity to deliver high-quality, secure, and production-ready solutions in under a month.

By combining cutting-edge RAG technology with a business-first implementation strategy, TensorOps ensures that clients like Panaya don't just "use AI"—they gain a competitive advantage from it.