Crayon powers 6 source-linked AI deployments documented in AIUseCaseHub, across 5 industries and 3 countries. Documented deployments include AI agents, copilots, RAG.
Hyperscaler mix
Filter Crayon's implementations by cloud provider evidence.
Build / Buy / Compose across this partner's documented cases
6 of 6 cases classified (100%) · Compare all use-case types
Reported outcomes
1 case reports measurable results
+60%
Customer experience
median · 2 metrics
Medians of results published in Crayon cases, normalized for comparability. See all benchmarks →
Evidence persistence
2 of 3 judgeable cases are still publicly referenced · 2 show the organization expanding AI use · 1 lost their public footprint.
Durability of public evidence, not whether systems remain in production. How this is measured →
Rajah & Tann, a leading Singapore law firm, addressed the legal industry’s challenges of handling vast volumes of documentation and time-consuming administrative tasks by implement...
Coca-Cola HBC, a leading European and African beverage bottler, partnered with Crayon to address production line inefficiency due to slow identification and sourcing of spare parts. They implemented an innovative AI-driven image recognition app developed with Microsoft technology and Crayon's expertise. This app enables faster, accurate identification of crucial spare parts across multiple sites, ensuring smoother bottling operations. The project has been rolled out in phases across European and African locations, enabling streamlined operations and delivering measurable productivity improvements. The solution demonstrates tangible business value and achieved significant ROI in less than two years.The image recognition app was developed and deployed specifically for production line environments.This collaboration has dramatically sped up maintenance processes by quickly matching images of parts to internal sourcing databases or catalogs.Real-time part identification is expected to minimize production downtime and reduce manual errors.
On September 2, 2024, Total eBiz Solutions hosted an event in collaboration with the Singapore Logistics Association, Microsoft, and Crayon, focusing on how Microsoft Copilot for M365 is reshaping logistics operations in Singapore.Participants explored the use of AI-powered tools for real-time shipment tracking, warehouse automation, and enhanced operational visibility.Microsoft Copilot enables precise shipment tracking, including updates on locations, delivery estimates, and delays, keeping customers engaged throughout their order journey.Copilot's personalized messaging feature leverages customer preferences and histories to improve communication, preempt issues like delays, and builds transparency and trust.Operational gains highlighted included early issue detection, data-driven insights for process optimization, and the minimization of supply chain disruptions.Copilot automates routine logistics tasks to reduce manual labor and enhance productivity, resulting in improved customer satisfaction and significant operational efficiency.Attendees noted cost savings from optimized route and inventory management, faster response times, and improved decisions through predictive analytics.The event fostered collaborative problem-solving between logistics leaders, partners, and technology providers, sharing approaches and innovations for sector modernization.Ultimately, Total eBiz Solutions demonstrated how embracing digital transformation and AI technologies enhances competitiveness and customer engagement in logistics.
Lowell, one of Europe’s largest credit management services, deployed an AI-enabled chatbot using Microsoft Azure Cognitive Services to handle 40% of customer inquiries, automate pa...
Roche, Ramsay Santé, and Schneider Children's Medical Center of Israel have embraced Microsoft Azure AI Health Bot, combining generative AI and health-specific safeguards to develop advanced healthcare copilot solutions. These organizations are integrating protocol-based workflows and AI-powered chat interfaces, tailored to clinicians' and patients' needs, improving access to medical information and support. The solution combines generative answers from Azure OpenAI Service grounded on authoritative sources and organizations' own medical guidelines. Customizable workflows, compliance controls, audit trails, and healthcare-focused quality checks ensure safety and privacy. Early pilots have demonstrated reductions in clinician workload, better adherence to protocols, and an improved ability to deliver secure and actionable medical guidance in real time. Implementations are already being tailored regionally across Europe and Israel.With the integration of Microsoft Copilot Studio, these health systems can create customized copilots aligned to organizational and geographic protocols, offering comprehensive conversational AI capabilities. The unique combination of AI and protocol-driven automation allows each organization to address both complexity of medical data and the necessity of compliance, helping realize the promise of trustworthy medical AI across diverse healthcare journeys.
DNV GL, a global leader in shipping certification, partnered with Crayon to leverage artificial intelligence and machine learning for operational efficiency. The collaboration sought to address complex, labor-intensive processes such as estimating ship inspection times and managing technical documentation across vast archives. By implementing Microsoft Azure Machine Learning, DNV GL automated time estimation for inspections, and developed algorithms to match technical documents spanning 150 years of records.The joint initiative resulted in over ten machine learning solutions being deployed in production, significantly reducing the manual workload of experts and accelerating business processes. The partnership also established an AI Center of Excellence, facilitating a robust community of practice and furthering AI-driven innovation internally and for commercialization. Crayon’s recruiting strategy, focusing on aptitude and cross-disciplinary skills, supported the rapid expansion of its AI team and the scale of impact on DNV GL’s business transformation.By systematically applying data science and machine learning, DNV GL strengthened its global service offerings and exemplified the practical benefits of AI in the maritime industry. Their joint journey has positioned both companies at the forefront of digital transformation for industrial certification and compliance.