Leverage has introduced a new AI-based workforce productivity platform, which aims to assist workers in efficiently searching information and working more effectively with various digital tools used in today’s organizations. The platform integrates enterprise data from various applications, transforming the information into a more accessible format to increase workforce productivity.
Employees in today’s organizations are required to work efficiently across a variety of disconnected systems, including email, spreadsheet, document, messaging, customer relationship, and project management tools, among others. In most cases, critical information is spread across various systems, requiring workers to spend a substantial amount of time searching for information before completing a task.
Leverage aims to eliminate these inefficiencies by creating a unified layer that links information across an organization’s existing software ecosystem. Through artificial intelligence, employees can search, analyze, and correlate data across their applications in real time. Instead of manually navigating multiple tools, users can simply ask questions and receive relevant answers, summaries, and contextual insights drawn from their organization’s data.
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“The future of work isn’t about replacing people or their tools,” said Chris Munford, CEO of Leverage. “It’s about helping employees work faster and smarter with the tools and data they already rely on. When employees spend less time hunting for information and more time doing meaningful work, the impact shows up directly on the company’s bottom line.”
Unlike many consumer-focused AI applications, Leverage is built specifically for enterprise environments. Each organization has its own private platform. This keeps sensitive internal data secure and prevents sharing with other companies.
The platform is designed in such a way that it can be accessed by employees in any role, even those who are not tech, savvy. Employees are not required to create custom AI agents or handle the integrations themselves. With the use of simple natural language questions, they can communicate with the system. This enables them to obtain the data and perform the automation of their regular tasks.
At its core, the platform combines AI-driven enterprise search with workflow automation. It helps employees find information in their tools. They can get insights with automated summaries and context analysis. This also streamlines repetitive tasks.
Leverage transforms scattered enterprise data into one searchable knowledge layer. This helps organizations save time on manual information gathering. Then, employees can focus on more valuable tasks.
