Reflow Raises $15M+ Seed To Launch Enterprise Workflow And Automation Platform

As AI adoption grows, many organizations can measure outcomes but lack visibility into the processes behind them. Scaling operations without this insight makes it harder to assess capacity, identify automation opportunities, and evaluate the impact of AI initiatives.

Reflow is designed to address this challenge by making operational work observable. The platform provides real-time visibility into how work moves across people, systems, and processes, without relying on time tracking, self-reported data, or complex integrations. By converting operational activity into structured data, it enables organisations to identify workflows suitable for automation and assess the results of those efforts.

The platform takes a system-level approach, observing workflows end to end to surface task flows, bottlenecks, and process deviations. This supports more informed decisions around automation and optimisation and is suited to mid-market and enterprise organisations with large operational teams performing high-volume, computer-based work across functions such as customer support, accounting, legal, and compliance.

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Reflow is built to support understanding of workflows and capacity rather than monitoring individual employees. The platform incorporates privacy-focused design principles and enterprise-grade controls, including configurable metadata collection and flexible visibility settings.

Founded by Ugur Kaner, a founder with Turkish roots now based in the United States, Reflow builds on prior experience in developing technology platforms for business users.

Kaner said: Reflow gives leaders a clear, shared view of how work actually happens, so automation decisions are grounded in reality, not assumptions. In an AI-driven world, that visibility becomes essential infrastructure.

Reflow, founded in 2024, provides operations teams with real-time visibility into workflows enabling data-driven decisions and ROI measurement from automation and optimization. The platform highlights bottlenecks, identifies opportunities for efficiency and helps leaders reduce friction, optimize processes, and automate what truly drives value across teams and systems.

Early users of Reflow’s platform report improved visibility into operational capacity, more efficient resource allocation, and clearer identification of workflows suited for automation.

The company plans to scale its platform to serve more mid-market and enterprise customers while continuing product development. Its focus is on enhancing workflow and workforce intelligence, helping organizations understand how work is performed before applying automation or AI positioning the platform as essential infrastructure for AI-driven enterprise operations.