Generative AI is the topic du jour for executives everywhere—it bubbled up very quickly with promises to change the way people work across almost every job role that involves interfacing with a computer, and leaders who don’t take it seriously risk falling behind.

There is a key question at the heart of the current phase of AI development, though. How do enterprises deploy and manage this technology for their employees? From lack of integration and management capabilities to difficulties in running cohesive programs that benefit the entire organization, the hurdles can be significant. 

The main Generative AI providers for consumers have yet to make their products easy for large companies to implement, and while just about every B2B tech company is making big promises around integrating GenAI into their products, many of these initiatives are either going to take a very long time or will never come to fruition.

At MangoApps, we have moved quickly to establish a simple system for deploying AI to your employees in a secure, scalable environment where they will actually access and use it, and you can see high-level analytics. We believe that the best place for this to happen is within the company intranet. Here’s why.

The Challenges of Managing AI in Enterprises

Managing AI usage in an enterprise environment is no small feat. Consumer GenAI vendors are not catering to the specific needs of large organizations today. 

At many organizations, individual employees are setting up their own ChatGPT accounts and then moving data back and forth between ChatGPT and whatever other systems they are using for their work. This is inefficient on many levels, and fraught with security risks.

Lack of Oversight

Without centralized control, it's challenging to monitor and manage AI usage across the organization. There’s no way to put guardrails on what people are using it for, and no security controls. 

When your employees are using public AI services, you can’t prevent them from putting sensitive company data into a system that may wind up using that data to train their public-facing models.

Lack of Insights

Without centralized deployment, there’s no way to see who is using AI and for what. This makes it challenging to make data-informed decisions or look for trends across the workforce.

It’s difficult to make the case for a technology investment when you can’t draw a clear line between the money you are spending and the ensuing business results.

Scalability Issues

Encouraging widespread adoption among employees can be difficult, especially when the tools are not user-friendly or aren’t well-integrated into daily workflows. 

One of the biggest challenges to company-wide implementation of any technology is setting clear guidelines that help employees know exactly where to find a tool and what it can be used for. In the case of AI, the consumer-facing tools that are available tend to start from a blank canvas, which is not always conducive to adoption, especially for less tech-savvy users.

Furthermore, it’s challenging for your employees to learn from or build upon each other’s work when that work is happening in an individual silo. You can read more about the challenges of enterprise AI deployment here.

Deploying Generative AI Within Your Intranet

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MangoApps offers a robust intranet platform that serves as the ideal environment for launching and managing GenAI projects. By integrating AI functionalities directly into your intranet, MangoApps provides a cohesive, efficient, and secure solution tailored to the needs of enterprises.

For some examples of the kinds of use cases this approach enables, see here.

Centralized Deployment: Efficiency and Control

One of the key advantages of using MangoApps for your GenAI projects is centralized deployment in a platform with SSO access, where your LLM usage is charged by consumption rather than on a per-user basis. It’s easy to handle permissions, push different purpose-built AI Assistants to different cohorts of users, and integrate AI into daily workflows where they are already happening.

This approach offers several benefits:

• Lower Costs: With a consumption-based model, you only pay for what you use, making it a cost-effective solution for deploying to your whole team.
• Detailed Insights: Gain comprehensive insights into AI usage across the company, rather than having individuals create their own accounts and operate in silos.
• Seamless Integration: No separate sign-in or setup is required, making the AI tools feel like a natural extension of your existing systems. This saves time and enables IT teams to troubleshoot and stay ahead of potential issues.

Easy to Maintain Security Protocols

Security is a top concern for any enterprise, and as a vendor that has had customers in highly regulated spaces like healthcare and government for decades, MangoApps excels in this area. Our products are enterprise-ready and packed with table stakes functionality for security-minded industries.

This philosophy extends to our AI Assistants:

• File Upload and Security Measures: Robust security protocols ensure that sensitive data is protected.
• RAG Technology: Retrieval-Augmented Generation (RAG) technology enhances the security and accuracy of AI outputs by keeping everything within your environment.
• Data Privacy: Public models are not trained on your data, ensuring that your proprietary information remains confidential.

Flexibility: Adapt and Evolve

MangoApps offers unparalleled flexibility, allowing you to adapt and evolve your AI strategies as needed. You can deploy any and all LLMs for different purposes within the same environment, and analyze their benefits with unified analytics.

This enables you to be nimble, proactive, and data-driven:

• Model Flexibility: Easily switch between different LLM models to find the best fit for your needs.
• Comparative Analysis: Access various models and assistants from a single platform to compare and contrast their performance.
• No Vendor Lock-In: Avoid being tied to a single vendor, giving you the freedom to choose the best tools for your organization.

Higher Participation Rates

One of the most significant advantages of integrating GenAI into your intranet is the increased participation rate among employees. Instead of having to introduce a single-purpose environment for a new technology, you can integrate it into daily life and establish clear use cases for simple tasks that even your least tech-savvy employees will embrace.

Our experience working with frontline-focused industries has fine tuned our product for high participation:

• No Training Needed: The user-friendly interface requires no additional training, making it accessible to everyone.
• Brand Consistency: Configure AI Assistant instructions, visual style, and use cases to align with your company’s brand and culture. Your employees won’t even know the name MangoApps or any of the LLMs you utilize.
• In the Flow of Work: AI tools are available within the flow of daily work, making them more likely to be used.
• Universal Access: Ensure that every employee has access to these powerful tools, democratizing AI across the organization. Integration with your HRIS makes it easy to create personalized experiences and show each employee a set of AI Assistants that makes sense for their role.

Conclusion

Launching GenAI projects within your intranet using MangoApps offers a straightforward, effective, and secure solution for enterprises, with a clear roadmap for deployment. By centralizing deployment, maintaining robust security protocols, offering flexibility, and driving higher participation rates, MangoApps ensures that your AI initiatives are not only successful but also scalable and sustainable. Embrace the future of AI with MangoApps and transform the way your enterprise operates.

Read more about our AI Assistants or schedule a demo to see MangoApps in action.