Go From Information to Knowledge with GenAI – Part 3

Generative AI (GenAI) is reshaping how enterprises access and use information, offering new opportunities to derive deeper insights, enhance workflows, and improve decision-making. But this evolution comes with challenges, such as insight accuracy, integrating disparate data sources, and maintaining compliance. The key is finding a solution that balances these demands.

Rocket^® Content Smart Chat, powered by GenAI, addresses these challenges and empowers enterprises to unlock the full potential of their content.

GenAI: opportunities and challenges

Before leveraging GenAI, it’s important to understand both the value it brings and the obstacles that come with it.

Opportunities (For a more in-depth overview, read Part 1 of the series):

• Actionable insights: Brings greater nuance and context to target outcomes.
• Efficiency gains: Reduces time spent on data management and search.
• Scalable innovation: Extends across operations for scalable growth.
• Improved UX: Conversational interfaces enable more natural interactions with data, requiring minimal training.

Challenges (More on this in Part 2 of the series):

1. Insight accuracy: High-quality results depend on combining structured and unstructured data, requiring organizations to have the necessary processes to handle large volumes of data and data types.
2. Disparate information sources: Data silos and scattered repositories make it difficult to access and consolidate critical information.
3. Application and ecosystem interoperability: GenAI must work seamlessly with existing applications and ecosystems, such as SAP S/4 HANA^®.
4. Time to value: GenAI technologies can bring a host of new technology stacks, which can add time and complexity during implementation.
5. Risk management: Expanding data access to new GenAI use cases requires adherence to existing, and evolving, governance policies.
6. Cost control: Efficient interaction with large language models (LLMs) and technology stacks is critical to optimize costs without compromising outcomes.

Rocket Content Smart Chat is designed to directly address each of these pain points.

How Smart Chat resolves GenAI challenges

Rocket Content Smart Chat is a GenAI-powered conversational interface that transforms how enterprises access and utilize critical content. It delivers actionable insights quickly and securely, while ensuring governance and compliance throughout.

1. Boost insight accuracy

Smart Chat leverages GenAI to provide precise and contextual answers from enterprise documents such as statements, product manuals, regulatory filings, contracts, customer documents, and more. Its advanced models are trained to understand and respond appropriately based on the user’s query and the document’s context.

2. Seamlessly access disparate information sources

Get answers directly from content across diverse repositories—even without metadata or the need to duplicate or transfer sensitive information. Search within a specific set of documents or explore content in an indexed repository, making information retrieval seamless and efficient.

3. Application and ecosystem interoperability

Build trusted GenAI knowledge bases with popular repositories like SAP^®, SharePoint^®, Rocket Software, and more, connecting siloed data across your organization. Smart Chat adapts to multiple environments, from established platforms to modern hybrid cloud ecosystems.

4. Accelerate time to value

With a simple but powerful API, Smart Chat seamlessly integrates into existing workflows, eliminating the need for costly infrastructure overhauls and allowing organizations to adopt GenAI-enabled insights sooner.

5. Strengthen compliance and security

Designed with governance and risk management at its core, Smart Chat offers built-in policy management, integrated GenAI governance, attribute-based data control, and redaction while granting access controls consistent with your organization’s AI policies.

6. Manage costs effectively

Smart Chat drives ROI through thoughtful design and intelligent resource management, optimizing how data interacts with LLM models through infrastructure choices, chunking strategies, and more. This lets organizations benefit from deeper insights without overspending on computational overheads.

Real-world use cases  

Smart Chat’s applications are already making an impact across industries:

• Financial services
  • Parse through account statements or regulatory filings for precise insights with a simple query like “Summarize terms of this 47-page loan contract.”
• Manufacturing
  • Get product specifications or warranty details in seconds with detailed and insightful answers to the question “What are the technical specs for [Product Name]?”
• Customer service
  • Resolve inquiries faster by providing detailed answers directly from service manuals or FAQs based on questions like “List all troubleshooting methods for [Product Issue].”
  • In fact, Rocket helped a solar, lighting, and electrical components wholesale distributor looking to modernize its Sales and Support processes realize 80%-time savings in answers (hours to minutes), 75%-time savings in onboarding (months to weeks) and enhanced customer satisfaction by using Smart Chat.

These examples merely scratch the surface of how Smart Chat modernizes enterprise operations. From increasing productivity to enhancing customer satisfaction, it delivers measurable value across industries.

Why CIOs and Enterprise Architects Should choose Smart Chat

1. Empowered decision-making

Smart Chat supports better data-informed strategies across departments with insights delivered securely, accurately, and promptly. It unifies disparate information sources across the enterprise to ensure maximum context sensitivity without the need to duplicate systems/data.  

2. Future-proof your operations

By bridging legacy and emerging systems with GenAI readiness, Smart Chat ensures organizations stay competitive in rapidly evolving markets. And, it supports today’s leading agentic-based architectures, infrastructure, and emerging standards (like Model Context Protocol or MCP).

3. Strengthen compliance posture

Access permission tools, redacted data views, and governance controls mitigate risks and safeguard sensitive data. Sub-document permission tools, like redaction, ensure that even as information is expanded to new GenAI uses cases with new forms of data sensitivity within documents, governance, and compliance are not compromised.

4. Enhance employee efficiency

Employees spend less time searching for information and more time driving business value.

Turn information into impact with Smart Chat

The evolution of business hinges on transforming massive volumes of operational and unstructured data into actionable knowledge. Rocket Content Smart Chat helps make that shift—with accurate insights, robust compliance measures, and flexible deployment options.

Ready to unlock the true potential of your enterprise content? 

Schedule a demo to see how Smart Chat can transform your organization with GenAI-driven insights.