FourKites Unveils Loft: AI Platform That Orchestrates Enterprise Systems with Real-World Intelligence and Autonomous Workflows
FourKites has launched Loft™, an AI orchestration platform designed to transform enterprise operations by connecting internal systems with real-world intelligence from its global supply chain network. At the heart of Loft is Sophie, an AI developer agent that converts natural language descriptions of business processes into automated workflows in days—dramatically reducing the months-long engineering efforts typically required. Unlike traditional AI platforms that rely solely on internal company data, Loft integrates real-time external intelligence from the FourKites Intelligent Network, which tracks over 500,000 trading partners across 176 countries and processes more than 3 million supply chain events daily. This includes insights on carrier reliability, supplier performance, manufacturing disruptions, and capacity constraints—data that is often absent in internal systems. The platform addresses a critical challenge in enterprise AI: most organizations still operate on fragmented systems held together by spreadsheets, emails, and Slack threads. As a result, key decision-making knowledge is lost in communication channels rather than captured in systems. When AI is applied to this environment, it can observe problems but lacks the ability to act reliably. Loft solves this by turning operational logic into reusable, governed workflows that can actually run the business. Loft introduces three key innovations. First, Sophie evaluates operational needs and determines whether to configure existing workflows, combine modular components, or write custom code—then deploys them with minimal human intervention. Second, Agent Operating Procedures (AOPs) record not just what decisions were made, but why, who approved them, and what prior cases informed the outcome. This creates a living knowledge base that improves over time. Third, external intelligence is embedded directly into automation, allowing AI agents to make better decisions—such as whether to escalate a supplier delay—by drawing on real-time patterns across the network. FourKites emphasizes that Loft is not just another AI tool layered on legacy software. It’s an AI-native system built from the ground up to orchestrate across any enterprise system, including ERPs, TMS, WMS, and CRMs. The platform hosts a Digital Workforce of specialized agents like Tracy (logistics execution), Sam (supplier collaboration), and Alan (appointment scheduling), which are already delivering results for Fortune 500 clients. According to Mathew Elenjickal, CEO of FourKites, the goal is to move beyond dashboards that merely track issues to systems that autonomously resolve them. “We’re capturing the reasoning behind decisions and preserving it so each action makes the next one smarter,” he said. The platform’s success hinges on its unique data advantage. While many AI systems depend on internal data, Loft leverages FourKites’ proprietary network data—real-time performance insights from millions of supply chain events—that no single company can replicate. This external intelligence gives AI agents context and foresight that internal systems alone cannot provide. With growing challenges in scaling AI—McKinsey reports only 7% of companies have successfully scaled AI enterprise-wide, and Gartner predicts 40% of agentic AI projects will fail by 2027—Loft offers a path to sustainable automation. By eliminating the perpetual engineering burden of model drift and maintenance, it enables organizations to deploy AI that evolves and improves over time. Custom agent development through Loft is now available. For more information, visit https://www.fourkites.com/platform/loft/.
