How Coworker.ai helped Huuuge with automation of Their Engineering Operations

At Huuuge Group, rapid growth brought an unexpected challenge. Their 300-person team was spending countless hours on repetitive knowledge work, analyzing pull requests, researching project contexts, compiling sprint reports, and hunting through fragmented information across many systems used in the company, including the company’s communicator, cloud workspace, CRM system, other databases, and meeting transcripts captured by various notetaking capabilities.

Marcin Safranow, who spearheads GenAI strategy at Huuuge, saw the problem clearly: “We had brilliant engineers spending 30% of their time on work that shouldn’t require human intelligence, digging through old conversations, manually creating documentation, copying information between systems.”

The breaking point came when they calculated the hidden cost. Their analysis revealed teams were losing 2-3 hours daily to information gathering and manual workflow tasks, work that added no creative or strategic value. This challenge was particularly acute given their global team structure.

Huuuge implemented Coworker across five critical workflow areas, helping their teams in their operation on a daily basis. Within the first month, the platform generated over 2,150 interactions across their workforce, with power users conducting hundreds of automated workflows each, demonstrating rapid adoption and immediate value recognition.

“What used to take us hours of manual research, analysis, and documentation now happens automatically. Coworker has eliminated entire workflows that used to consume hours of our team’s time each week. It’s like having an AI teammate that handles all the time-intensive work so we can focus on what actually matters.”

The implementation revealed remarkable user engagement patterns that validated Coworker’s transformational impact. Critically, the platform enabled sophisticated multilingual workflows where teams naturally switch e.g. between Polish and English within single interactions. This capability proved essential for Huuuge’ international operations, allowing local teams to maintain their preferred working language while producing globally accessible outputs.

Power users emerged across different departments, from IT support specialists managing hundreds of automated asset reconciliations to data scientists conducting complex research workflows, demonstrating the platform’s versatility across technical and operational roles.

Within the first month of implementation, Huuuge achieved remarkable results across multiple dimensions:

“The ROI calculation was straightforward, we just needed to save two to two and a half hours per month per person to break even. We exceeded that in the first few weeks.”

Beyond teams’ productivity gains, Coworker enabled Huuuge to democratize GenAI across their organization. The platform served as an entry point for teams to experience AI-powered workflows without requiring technical expertise or separate tool adoption.

“We’re not just accessing information differently, Coworker actually helps in doing work that would normally take hours to complete. It handles the research so we can focus on what actually requires our time.” notes Safranow. The strategic discussions revealed plans to extend usage from the initial deployment group to all 300 employees, with specific focus on creating role-specific templates for managers and automated weekly summaries.

The implementation also drove improvements in Coworker’s platform, with Huuuge’ feedback directly influencing enhanced contextual understanding, improved enterprise tool integrations, multi-language support enhancements, and advanced user interface capabilities.

The Huuuge implementation became a true partnership that shaped Coworker’s roadmap. Safranow’s strategic vision proved instrumental: “We view Coworker as more than just a basic productivity tool. The key is driving habit formation through features like weekly recaps and meeting preparations.” This insight directly influenced Coworker’s development of role-specific automation templates and proactive workflow suggestions.

The team’s deep engagement with Coworker’s capabilities led to sophisticated usage patterns that exceeded initial expectations. They particularly valued features like automated notetaking during meetings in non-English language and seamless cross-system information aggregation from meeting transcripts, Slack conversations, and document repositories. Their advanced usage patterns and strategic feedback drove Coworker’s platform enhancements in multilingual processing, enterprise integrations, and user experience optimization.

What emerged was a pattern of sophisticated usage that demonstrated Coworker’s automation potential. Coworker helped teams in coordinating complex processes by searching data across multiple systems and converting conversational meeting content captured by Coworker’s notetaker into documentation. This advanced adoption validated Coworker’s vision as a tool helping in comprehensive workflow automation platform rather than a simple productivity tool.

Following the successful implementation, Huuuge expanded Coworker enterprise-wide, representing their commitment to using artificial intelligence to help automate processes in the organization.

The success at Huuuge demonstrates how Coworker can serve both as a tool to support process automation and enable the implementation of a GenAI. By connecting disparate information sources through intelligent automation, organizations can unlock significant efficiency gains while building the foundation for broader GenAI adoption.

The platform’s ability to handle complex, multilingual workflows while maintaining enterprise security and integration standards positions it as an important technology for global organizations seeking to increase their operational efficiency through AI automation.