How Coworker.ai Helped Huuuge Automate Their Engineering Operations

Company: Huuuge Games - Mobile Gaming Developer and Publisher
Team Size: 300
The Challenge: Manual workflows consuming thousands of hours annually
The Impact: 4,000+ hours saved in first deployment phase, with individual workflows seeing up to 94% time reduction

The Problem

"Coworker doesn't just find information, it actually does the work for us. What used to take us hours of manual research, analysis, and documentation now happens automatically. It's not a search tool, it's like having an AI teammate that handles all the time-intensive workflows."

— Maurycy Bielawski, Service Desk Team Lead

The Workflow Crisis: When Manual Processes Scale

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.

The Solution

From Manual to Automated: The Coworker Implementation

Huuuge implemented Coworker across five critical workflow areas, helping their teams in their operations 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.

"Coworker doesn't just find information, it actually does the work for us. What used to take us hours of manual research, analysis, and documentation now happens automatically. It's not a search tool, it's like having an AI teammate that handles all the time-intensive workflows."

— Maurycy Bielawski, Service Desk Team Lead

The Results

Real-World Workflow Transformations

Documentation Generation

Technical documentation tasks that previously required days now complete in 45-60 minutes, an 88% time reduction. Teams can now generate reports, specifications, and process documentation using existing organizational data without manual research or formatting.

End-to-End Project Management Automation

Coworker helped teams with project workflows by automatically generating sprint summaries, status reports, and converting calendar events into structured Jira tickets. IT operations teams reduced weekly inventory reconciliation from 4-6 hours to 20-30 minutes, achieving a 92% efficiency gain.

Meeting-to-Policy Pipeline

Teams can use Coworker's integrated notetaking capabilities to convert notes from meetings into actionable policies. Notes from a 53-minute meeting can be processed by teams into comprehensive playbooks, reducing the traditional 8-12 hour process to 45-60 minutes, a 90% time reduction.

Unprecedented Adoption and Usage Patterns

The implementation revealed remarkable user engagement patterns that validated Coworker's transformational impact. Critically, the platform enabled sophisticated multilingual workflows where teams naturally switch between Polish and English within single interactions. This capability proved essential for Huuuge's 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.

Measurable Impact Across Teams

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

Usage Metrics

• Over 8,000 chat interactions across the organization

• Power users achieving 200+ automated workflows each

• Average of 30 minutes saved per interaction

Workflow-Specific Time Savings

• Creative analysis: 80%+ time reduction in research and synthesis tasks

• IT operations: Significant time savings on specific activities like troubleshooting and documentation

• Policy creation: 90%+ time reduction in document drafting and research phases

• Technical documentation: 80%+ time reduction in creating comprehensive guides and specifications

• Performance reviews: Enhanced quality and consistency with moderate time savings—the primary value comes from improved depth of analysis rather than speed

Direct Benefits

• Faster research through instant access to historical context

• Improved cross-team collaboration with shared knowledge access

• Reduced onboarding time for new team members

• Enhanced code review processes with automated context generation

• Seamless multilingual collaboration enabling global team efficiency

"Coworker doesn't just find information, it actually does the work for us. What used to take us hours of manual research, analysis, and documentation now happens automatically. It's not a search tool, it's like having an AI teammate that handles all the time-intensive workflows."

— Maurycy Bielawski, Service Desk Team Lead

Looking Forward

The Strategic Impact: Unlocking GenAI Across the Organization

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's feedback directly influencing enhanced contextual understanding, improved enterprise tool integrations, multi-language support enhancements, and advanced user interface capabilities.

Implementation Insights

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.

Enterprise-Wide GenAI Adoption

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 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.