NTT DATA
AI Implementations & Use Cases
Hyperscaler mix
Filter NTT DATA's implementations by Microsoft, AWS, or GCP provider evidence.
How NTT DATA builds AI
Build / Buy / Compose across this partner's documented cases
7 of 12 cases classified (58%) · Compare all use-case types
Reported outcomes
5 cases report measurable results
+74%
Cost savings
median · 3 metrics
+92%
Quality & accuracy
median · 3 metrics
−67.5%
Time & speed
median · 2 metrics
Medians of results published in NTT DATA cases, normalized for comparability. See all benchmarks →
Evidence persistence
4 of 4 judgeable cases are still publicly referenced.
Durability of public evidence, not whether systems remain in production. How this is measured →
All Use Cases (12)
DZ BANK modernizes developer environment with Google Cloud Workstations and Gemini Code Assist
DZ BANK AG, a leading German financial institution, modernized its developer environment by migrating from on-premises virtual machines to Google Cloud Workstations.The implementation provided pre-configured, secure cloud-based environments, customizable base images with IDEs and extensions, automated provisioning with Terraform, and AI code assistance with Gemini to improve productivity and security.
Servizo Galego de Saúde (SERGAS) accelerates clinical trial workflows using RES on AWS (Innovatrial)
SERGAS, implemented by NTT DATA, uses Innovatrial built on Research and Engineering Studio (RES) on AWS to centralize structured and unstructured clinical and biomedical data for clinical trial operations.The platform uses Amazon S3, Amazon EC2, Amazon Managed Blockchain, AWS IAM, and Amazon QuickSight, plus customer machine learning models for NLP-driven cohort identification and workflow automation.Researchers can translate natural-language inclusion/exclusion criteria into searchable queries to identify candidate cohorts in minutes instead of weeks, while dashboards and alerts improve visibility and regulatory tracking.
MicrosoftManufacturers automate production with multi-agent AI systems
Several manufacturers and Microsoft partners are leveraging the Azure AI Foundry Agent Service to develop multi-agent AI systems that automate and optimize production processes. The Azure AI Foundry Agent Service introduces capabilities such as Connected Agents, Multi-Agent Workflows, and Agent Catalog, allowing the orchestration of specialized AI agents for complex industrial use cases. Early adopters have implemented collaborative ecosystems of agents across tasks such as bottling line optimization, compliance monitoring, software development lifecycles, and enterprise customer support. These modular systems allow organizations to coordinate multiple AI models, reuse specialized agents, and integrate external tools or protocols to build scalable, resilient digital workforces. Real-world examples include companies like JM Family Enterprises streamlining software QA, and Sight Machine improving bottling line performance. Partner NTT DATA is highlighted for orchestrating complex deployments. Results include improved productivity, reduced manual intervention, measurable business analysis improvements, and potential cost efficiencies.The solution addresses the complexity of real-world industrial workflows, providing the ability to break tasks into modular, role-specific AI agents that can collaborate or operate in parallel. A2A and Model Context Protocol support offers interoperability across platforms, and an Agent Catalog accelerates deployment and adaptation.
Continental streamlines automotive product development with AI-driven requirements engineering
Continental developed an AI-based Requirements Engineering tool using Microsoft Azure AI Services to automate and accelerate the analysis of specification documents and assignment ...
MicrosoftCrown Prosecution Service Accelerates Legal Document Review with AI Case Explorer
The UK Crown Prosecution Service (CPS) partnered with NTT DATA to deploy a generative AI-based 'Case Explorer' system to automate and enhance the legal document review process. Lev...
Brazilian Enterprises Boost ESG Performance Through Digital Transformation
Many Brazilian energy and utilities firms are advancing their ESG (Environmental, Social, and Governance) efforts by implementing Microsoft AI, machine learning, automation, and Io...
MicrosoftVavaCars automates customer feedback and enhances engagement
VavaCars collaborated with NTT DATA to launch Türkiye's first Microsoft Azure OpenAI implementation aimed at transforming customer engagement in the automotive sector.Following a detailed analysis of VavaCars’ business objectives, the company implemented an AI-powered chatbot on its website.The chatbot automates the previously manual customer feedback process and now provides 24/7 personalized vehicle recommendations.This automation has significantly reduced the workload for the customer service team.As a result, operational efficiency and customer satisfaction have increased.VavaCars' approach signals an intention to continue leveraging AI to perfect its customer experience.The project demonstrates tangible impacts for both employees and customers in automotive sales and after-sales processes.
Synapxe transforms Singaporean healthcare with AI-driven diagnostics and automation
Synapxe, Singapore’s national health tech agency, is catalyzing the healthcare sector’s digital transformation through multiple real-world AI solutions, in close collaboration with partners Microsoft, NTT DATA and SingHealth.The agency has deployed AimSG, an AI imaging platform piloted at two Singapore hospitals, integrating AI models into clinical workflows for improved diagnostic precision and efficiency. ACE-AI, a digital assistant for general practitioners, uses explainable AI and neural networks to facilitate early chronic disease detection and personalized care.Together with Microsoft, Synapxe also developed Secure GPT for Healthcare Professionals based on Azure OpenAI Service, a generative AI tool that automates routine healthcare tasks and generates patient information summaries while meeting strict security and privacy standards. These initiatives collectively reduce physician administrative workload, enhance diagnostic accuracy, and accelerate disease detection.Singapore’s multi-partner ecosystem connects public and private sectors in healthcare innovation, exemplified by partnerships with NTT DATA, SingHealth, and A*STAR in AI-powered disease detection, monitoring, and precision medicine initiatives.
NTT DATA streamlines Japanese enterprise innovation with AI-driven modernization
NTT DATA, in collaboration with Microsoft, is driving AI-enabled digital transformation for Japanese enterprises using Microsoft Azure OpenAI and Copilot. The partnership delivered...
Damm Group enhances hospitality data management with autonomous AI agents
Damm Group, a prominent Spanish brewing company in the hospitality sector, confronted inefficiencies in their hospitality establishment data due to duplicate records and manual data review. To resolve this, Damm partnered with NTT DATA to create an AI agent solution leveraging Azure AI Foundry and Azure Agent Services, integrated with geolocation tools.This solution employs autonomous AI agents to identify and resolve duplicate records, perform contextual data analysis, and generate transparent, automated reports for end users. The architecture allows AI agents to operate independently, gather external contextual information, and make data-driven decisions with minimal human intervention.Results have been significant: decision accuracy reached 97%, reasoning accuracy hit 92%, and the solution reduced time spent on database improvements by 60–70%, amounting to an annual savings of 6,000–7,000 work hours. Damm plans to expand the use of this solution across its Spanish operations for continual process optimization.The project showcases the power of autonomous AI agents in operational data management, especially within the hospitality industry, demonstrating real-world scalable impact and substantial efficiency gains.
Florida Crystals modernizes global collaboration and automates processes
Florida Crystals Corporation, a global sugar producer and refiner, radically modernized its voice, video, and collaboration infrastructure to support a growing international workforce. Facing an aging, costly, and fragmented PBX environment, the company transitioned to a consolidated, cloud-first solution using Microsoft 365, Microsoft Teams, Teams Phone, Operator Connect, Teams Rooms, and Copilot for Microsoft 365 with the help of technology partners such as UnifiedCommunications.com, Logitech, NTT DATA, HP, Yealink, and AudioCodes. Migrating from on-premises systems, Florida Crystals unified its communication platforms, reduced telephony complexity, and integrated analog devices while increasing resilience and usability for its workforce.The new architecture enabled cloud voice services for over 2,300 users and fitted 80+ global meeting rooms for seamless hybrid collaboration. The company experienced high adoption rates and dramatic reductions in telecommunications costs (by 78%). Enhanced collaboration reliability and new generative AI tools provided further productivity gains. Copilot for Microsoft 365 was introduced to automate daily workflows, summarize meetings, and improve information search and content creation. Florida Crystals is now developing AI solutions for predictive analytics in industrial process control, demand forecasting, and supply chain planning, leveraging Copilot Studio and advanced Microsoft AI features.The collaborative effort, supported by partners and Microsoft security, is driving process automation across core business areas, creating a resilient and future-proof environment for continued international expansion.
Almirall accelerates pharmaceutical research efficiency with AI-powered automation
Almirall, a leading pharmaceutical company, faced significant challenges in manually reviewing medical research papers to extract relevant information, resulting in a time-consuming and error-prone process.NTT DATA designed and implemented a platform for Almirall that leverages Microsoft Azure OpenAI Service to provide advanced question-answering and semantic search capabilities for medical literature.The platform automates the extraction of pertinent data, enabling researchers to ask scientific questions and get accurate answers from a vast array of real-world evidence papers.By pre-processing and indexing research articles and automating spreadsheet data population, Almirall's research teams benefit from much faster data retrieval and significantly reduced human errors.Azure OpenAI models used in the solution reach over 90% accuracy in responses, modernizing how pharmaceutical knowledge is managed and driving industry transformation.Almirall’s partnership with NTT DATA and Microsoft not only supports advanced research but also positions the company as a leader in digital health innovation.The collaboration demonstrates the substantial value of integrating AI and cloud solutions in pharmaceutical research for global competitiveness.