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United Kingdom

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GYSHO IN ACTION

CASE STUDIES

Real results, real fast - here's how Gysho delivers impact for organisations with unique, high-value needs. 

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Construction: Systems Engineering Automation

Client/Industry: 

Construction Engineering Firm 

Business Challenge: 

Scale and automate systems engineering practices to ensure high-quality, safe, and compliant construction projects—previously only possible with large teams and weeks of effort. 

Gysho Solution: 

Developed bespoke AI components leveraging systems engineering expertise, automating large parts of the compliance and quality process. 

Outcome/Impact: 

Enabled engineers to focus on critical issues, reduced manual workload, and improved compliance. (Deal: £250k initial, £35k/month subscription) 

Why Gysho: 

Gysho’s combination of domain expertise and platform-based delivery enabled automation at scale, with full compliance and security. 

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Manufacturing: AI Roadmap Advisory

Client/Industry: 

International Food Manufacturing Company 

Business Challenge: 

Needed to upskill internal teams on AI fundamentals and develop a clear, actionable technology roadmap—so the company could make smarter decisions, prioritize the right AI initiatives, and drive greater operational efficiency. 

Gysho Solution: 

Delivered a comprehensive, phased engagement: 

  • Internal Education: Ran tailored workshops to build AI literacy and confidence across business and technical teams. 
  • Business Driver Identification: Facilitated sessions to pinpoint where AI could deliver the greatest business impact, focusing on efficiency, productivity, and competitive advantage. 
  • Use Case Mapping: Helped the client identify, map, and prioritize high-value AI use cases aligned to real business needs. 
  • Technology Roadmap Development: Co-developed a practical, step-by-step AI adoption roadmap, including timelines, resource allocation, and measurable success criteria. 

Outcome/Impact:  

  • Empowered the organization to make informed, confident decisions about AI investments  
  • Improved efficiency by focusing on the most valuable, achievable AI initiatives  
  • Provided a clear, actionable plan for technology adoption and continuous improvement  
  • Established a foundation for ongoing innovation and measurable business performance gains 

Why Gysho: 

Gysho’s pragmatic, outcome-driven approach ensured that education, strategy, and technology planning were fully aligned with the client’s real business goals—enabling the company to perform better, both in knowing what to do and in becoming more efficient. 

 

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Supply Chain: Visual Data Extraction and Processing

Client/Industry: 

Niche Supply Chain & Logistics Provider 

Business Challenge: 

Faced with a high volume of shipping “bill of lading” documents in multiple languages and non-standard formats, the client’s manual data entry process was slow, error-prone, and a bottleneck for warehouse operations. Integration with a legacy Warehouse Management System (WMS) further complicated automation. 

Gysho Solution:  

  • Developed a computer vision-powered pipeline to extract structured data from scanned and digital bills of lading, regardless of language or format. 
  • Applied data normalization and validation routines to ensure accuracy and consistency. 
  • Implemented a user confirmation interface for final review and correction, ensuring trust in the extracted data. 
  • Automated the loading of verified data into the client’s legacy WMS, creating a seamless bridge between modern AI and established operational systems. 

Outcome/Impact:  

  • Drastically reduced manual data entry workload and errors  
  • Enabled near real-time processing of shipping documents  
  • Improved data quality and traceability for compliance and audit purposes  
  • Accelerated warehouse throughput and supported new business models 

Why Gysho: 

Gysho’s integrated approach to data engineering and governance—combining advanced computer vision, user-centric validation, and legacy system integration—delivered a robust, scalable solution that generic automation tools could not match.