GeneralMind raises $12M to build AI autopilot for operational workflows

Berlin-based GeneralMind, an AI-based system focused on automating operational and coordination tasks in supply-chain environments, has closed a $12 million equity financing round. The round was led by Lakestar, Leo Capital, LucidCapital, Heliad, and BOOOM, with additional participation from angel investors including Alexander Kudlich, Jens Urbaniak, and Samir Sood.

Many enterprises continue to rely on legacy systems of record, such as ERP platforms, to manage transactions and data. However, operational execution is often handled manually, with teams coordinating work across email, spreadsheets, and other disconnected tools to manage exceptions and handovers within supply chains.

While these systems reliably store information, they typically do not support task execution or the unstructured coordination required between functions such as procurement, logistics, finance, and external partners. As a result, email frequently functions as an informal task management layer, leading to manual processes, limited visibility, and higher error rates.

GeneralMind is addressing this gap by developing an AI-based system of action for operational execution. Its AI Autopilot is designed to automate repetitive work at supply-chain handover points by executing workflows across email, spreadsheets, and ERP systems.

Tasks, often initiated through email, are captured, interpreted, and carried through to completion. This approach is intended for environments with high volumes of recurring tasks, strict deadlines or compliance requirements, and multiple internal and external stakeholders, such as sales operations, procurement, and invoice processing.

Inefficiencies resulting from fragmented, inbox-driven workflows can lead to delays, missed actions, and reduced operational performance across supply chains.

Commenting on this challenge, Tushar Ahluwalia, founder and CEO of GeneralMind, said that while organisations are often aware of where operational issues arise, they frequently struggle to translate that understanding into effective execution.

Drawing on his experience in e-commerce, Ahluwalia added that manual, email- and spreadsheet-based processes and complex coordination between unstructured communication and ERP systems create significant inefficiencies in large organisations, noting that GeneralMind is designed to run these processes end to end through a human-supervised AI autopilot rather than acting as a productivity copilot.

The funding was completed within the company’s first months of operation and will be used to support the scaling of GeneralMind’s technology across Europe.