In an age where efficiency and productivity are paramount for organizational growth, the adoption of generative AI is increasingly becoming a necessity. The question isn’t whether generative AI is going to materially impact how enterprises operate; it’s when. The pace of innovation is accelerating, and the enterprises that start early on understanding where and how to effectively implement AI are better positioned to capitalize on the productivity enhancements, personalized customer experiences, and competitive advantages this technology can help drive. In this blog, we will explore the imperatives of getting started now, and dive into the secure workflow productivity tools available to help organizations maximize the value of generative AI anywhere work gets done.
The Urgency of Now
The landscape of business is ever-evolving, and the incorporation of generative AI into the core of organizational processes is not just an option but a strategic imperative. The urgency of now is rooted in several key factors that organizations must consider to stay ahead in a rapidly changing market.
Firstly, the urgency to adopt generative AI begins with the imperative of security. Without providing secure, approved access to generative AI, employees will resort to unsanctioned tools to meet their needs, introducing a host of risks from the inappropriate sharing of intellectual property or other sensitive data, to compliance violations. By taking the initiative now, organizations can ensure that the drive for efficiency doesn't compromise security, setting a standard for responsible AI usage from the outset.
As employees start using secure generative AI, a discovery phase will commence. It's during this phase that the true potential of AI in enhancing productivity becomes apparent. Employees will find innovative ways to automate tedious tasks, generate insights from large data sets, and create new methods to engage with customers. These discoveries can lead to significant efficiency gains and cost savings that will only be realized through the enablement and encouragement of secure usage.
Additionally, the experimentation phase is critical. Generative AI can be applied across a multitude of business functions, and finding the right implementations that will drive value for your specific organization requires a period of trial and error. Early adopters of AI technologies are already in this experimentation phase, learning from real-world applications. Delaying the start means playing catch-up with competitors who are already learning valuable lessons and carving out their niches.
Lastly, the urgency of now is about staying relevant. As AI continues to permeate the consumer space, customers' expectations for personalized and efficient interactions are growing. Organizations that fail to adopt AI risk falling behind in delivering the experience customers demand, potentially losing them to competitors who can offer that level of service.
Secure Workflow Tools That Help You Realize Value From Generative AI Today
The best way to embrace generative AI now is to start simple. Providing secure access to versatile, general purpose models like GPT-4, Claude 3, or Gemini 1.5 is a critical first step in preventing Shadow AI, protecting sensitive data, and learning where generative AI can be most impactful for your organization. The easiest and most effective way to quickly and securely deploy general purpose tools in a manner that serves both end-users and security teams is with Liminal.
Liminal is leading the charge with workflow productivity tools designed to help employees maximize the value of generative AI anywhere they work, while providing the critical governance controls and observability that organizations need to ensure sensitive data remains protected.
Access your favorite generative AI securely on any browser
With Liminal Extensions, employees can leverage generative AI within Google Workspace, Salesforce, Adobe, or any other web application while ensuring sensitive data remains protected. Users can select from built-in LLMs or choose their preferred AI model, and enjoy context-aware responses that boost productivity. Liminal ensures consistent security policies are maintained, and offers total observability across all AI interactions.
Bring your preferred generative AI models to your desktop applications
In addition to web applications, Liminal brings the power of generative AI to Microsoft Office 365, Slack, or any other desktop platform in a safe and secure manner. Liminal detects and protects sensitive data within prompts as well as underlying documents, ensuring your organization’s information remains secure, and then rehydrates responses upon return for a seamless user experience. Similar to Liminal Extensions, users can leverage the desktop application’s built-in LLM or select their favorite model, while security teams gain complete control and observability into generative AI usage.
Securely use generative AI wherever you work
Beyond specific applications, the Liminal Helper enables secure and contextual access to generative AI models from anywhere on the web. This multi-model chat experience is designed to integrate smoothly into existing workflows, treating sensitive data prior to submission to any large language model (LLM), and rehydrating outputs for an optimal user experience. With Liminal Helper, your security organization achieves total AI oversight, while employees get a tailored and secure AI experience, no matter where work is getting done.
Built for Today, and Tomorrow
The importance of getting started now with generative AI cannot be overstated. Not only is there immediate value to be obtained from both a security and a productivity perspective, but the faster you deploy secure generative AI, the closer you are to having a data-informed roadmap to pursue more complex, transformational use cases.
Liminal is here every step of the way to empower enterprises in adopting generative AI while ensuring the protection of sensitive data. From starting with general-purpose models, to utilizing off-the-shelf applications with AI capabilities, to developing and deploying in-house generative AI-enabled applications, the Liminal Platform is designed to help you safeguard critical data throughout your entire generative AI journey, while providing a seamless end-user experience. With granular security and access management controls, as well as real-time alerting and logging, Liminal provides complete generative AI oversight, administration, and observability.
If you’re ready to see how Liminal can help you rapidly embrace secure generative AI, click here to schedule a demo.