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Leverage Launches AI-Powered Workforce Productivity Platform


Leverage Launches AI-Powered Workforce Productivity Platform
  • by: Source Logo
  • |
  • March 10, 2026

Leverage has introduced an AI-driven platform that connects enterprise data across everyday tools—email, documents, spreadsheets, drives, chats, transcripts, issue trackers, CRMs, and more—enabling employees to instantly search, analyze, and correlate information through natural language questions for faster, higher-value work.

Quick Intel

  • Leverage unifies disconnected enterprise applications into a single AI-accessible layer, eliminating information silos and reducing time spent manually searching and correlating data.
  • Employees can ask questions in plain language to receive instant answers, summaries, and actionable outputs from across all company tools without needing AI expertise or custom integrations.
  • The platform runs as a private, secure instance per organization, ensuring internal data remains isolated and never shared with other companies.
  • Core capabilities include AI-powered enterprise search to find information, contextual insights with relevant summarization, and automation of repetitive tasks to boost efficiency.
  • Designed for broad adoption, Leverage requires no agent-building or technical setup—any employee who can ask a question can benefit from company-wide data access.
  • By shifting focus from information hunting to meaningful work, the platform delivers measurable productivity gains and direct bottom-line impact.

In today’s enterprise environment, employees navigate dozens of disconnected applications, leading to persistent information silos that hinder speed and quality of work. Leverage addresses this fragmentation head-on by creating a unified, AI-powered layer that connects existing tools and data sources, allowing workers to access and act on information horizontally across the organization.

Rather than replacing tools or requiring employees to become AI specialists, Leverage enhances the systems already in place. Workers simply ask questions—such as retrieving context from emails, summarizing project status across documents and chats, or correlating CRM data with issue trackers—and receive accurate, contextual responses instantly.

“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 public generative AI platforms, Leverage operates as a fully private instance for each organization, ensuring complete data isolation, security, and compliance. This enterprise-grade design prevents any risk of data leakage across customers while maintaining full control over sensitive internal information.

The platform delivers three foundational capabilities:

  • Find — AI-driven enterprise search surfaces relevant information across all connected tools without manual navigation.
  • Gain insights — Delivers context-aware summaries, correlations, and answers that provide deeper understanding without requiring users to piece together fragments.
  • Automate — Handles repetitive tasks and workflows, freeing teams to focus on strategic, high-value activities.

By making enterprise data instantly accessible and actionable, Leverage empowers every employee—from individual contributors to leadership—to work more efficiently, reduce friction, and contribute meaningfully to business outcomes.

 

About Leverage 

Leverage is building an AI-powered workforce productivity platform that connects enterprise data across the tools employees use daily, turning scattered information into instant, actionable answers. Designed for security and ease of use, Leverage runs as a private instance per organization and requires no AI expertise, enabling broad adoption across teams.

  • Workforce ProductivityEnterprise AIDigital Transformation
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