Agentic ADM

Improve run operations by hyper‑automating application and data maintenance, improving both quality and cost efficiency. AI-driven ticket triage, routing, and resolution streamline issue management, while predictive monitoring enables self-healing applications that minimize disruption. At the same time, unified observability across applications, data, and infrastructure provides end-to-end visibility, supporting a shift from SLA-centric delivery to experience- and outcome-driven operations.

Key outcomes

•  Up to 50% reduction in application maintenance TCO
• 25–30% reduction in MTTR
• Up to 50% of incidents resolved autonomously
• Improved business satisfaction through XLAs

Accelerate build times by applying AI across the entire software development lifecycle (SDLC), enabling faster application development and continuous evolution. AI-enabled requirements analysis help teams move from idea to execution more quickly, while automated code generation and testing improve speed and quality at scale. Real-time visibility into the application landscape supports smarter prioritization of modernization efforts, all underpinned by product-centric, agile, and DevSecOps delivery models.

Key outcomes

• 30% faster time to market for application changes
• Up to 50% cost reduction in development activities
• 20–30% reduction in technical debt
• Improved quality through automated testing and validation

Use applications, data and AI as a foundation for new business models and experiences. AI-native custom applications replace low value software as a service (SaaS) and AI-orchestrated intelligent services are built on existing applications, so you don’t need to start from scratch.

Key outcomes

• 75% improvement in platform performance
• Greater annual savings
• Generate insights faster and more accurately
• A 3x increase in content generation speed

Challenge

A global technology manufacturer needed to improve support service efficiency for its critical business applications. With support teams responding to 14,000 incidents monthly, the organization sought faster access to accurate information, and improvements in productivity and operational efficiency.

Solution

An agentic framework of 23 agents was implemented for end-to-end incident management. GenAI-powered knowledge assistants drew information from multiple document repositories to generate clear responses to support requests.

Impact

The solution provided 780 users with relevant answers faster, resulting in a 25% improvement in ticket resolution times. Recommended solution accuracy increased, and 70% of end-user queries were solved in real time.

Challenge

A global life sciences organization managed numerous highly regulated systems and applications where even small changes must undergo a rigorous and complex approval process. Support and reviewer teams spent a significant amount of effort on these processes, which were prone to manual errors and compliance risks. The organization wanted to speed up reviews while maintaining compliance and reducing burdens on review teams.

Solution

A GenAI-powered documentation and validation tool was designed to support the review process. The solution reviews documents against predefined validation rules, checks document history against recorded updates, and identifies inconsistencies or potential errors. It can also summarize findings, suggest corrections, and provide clear feedback to creators and reviewers.

Impact

The solution achieved 95% first pass accuracy in execution and improved productivity in the review process by 60%. It also contributed to 5% improvement in end-to-end time to market for product changes. By automating many of the repetitive tasks involved in validation, the tool helps teams focus on higher-value work while maintaining the rigor required in a highly regulated environment.

Challenge

An automotive technology company wanted to improve its data platform and reduce its dependency on manual processes. Teams were spending valuable time gathering and validating data, making it difficult to respond quickly to business needs. Documentation challenges and limited analysis capabilities hindered the teams’ ability to react to problems in real-time.

Solution

Capgemini worked with the company over six months to modernize its data environment. The organization selected a new platform built on Microsoft Azure and Power BI supported by a single-instance SAP environment. The new approach brought together information from across business units into a more centralized and consistent structure.

Impact

The new approach made it easier to access, understand, and act upon critical business information. The modernized data environment significantly improved the speed, accuracy, and reliability of information across the organization. The business intelligence team reduced the amount of time spent on support-related activities from 50% to less than 20%, allowing for more focus on analysis and business value creation.

Challenge

A leading home goods retailer was experiencing high levels of cart abandonment and operational challenges caused by an aging e-commerce platform. Slow processes for introducing new products made it difficult to respond quickly to customer demand, while platform instability affected online shopping experiences and business performance. The organization sought a solution to improve efficiency, reliability, and customer satisfaction.

Solution

Capgemini helped modernize the retailer’s e-commerce platform and supporting processes. The engagement focused on improving platform performance, strengthening operational stability, and increasing visibility into customer journeys. New dashboards were introduced to monitor customer interactions and identify areas where experiences could be improved. Capgemini also supported key business applications that directly influenced the customer experience, helping create a more stable and responsive operating environment.

Impact

The modernization effort improved product loading lead times by 75%, to introduce new products faster. Product buyability increased to 98%, helping customers make purchases more easily, while order cancellations fell by 30-40%. Together, these improvements enhanced the customer experience, increased operational efficiency, and supported healthier business performance.

Challenge

A global CPG company wanted to place consumer insights at the heart of all decision-making across the business. Its ambition was to make better use of data, uncover meaningful insights faster, and turn those into impactful results. To achieve this, the organization needed a more connected approach to gathering, analyzing, and sharing information across its global operations.

Solution

By bringing together information from a wide range of sources and combining it with advanced AI and analytics capabilities, Capgemini helped to build a more unified data and analytics environment. The organization gained access to richer consumer insights and a more consistent view of performance across markets. The solution was designed to help decision-makers move from data collected to actionable insights more quickly and confidently.

Impact

By turning data into actionable insights, the company strengthened its ability to respond to changing consumer needs and market opportunities. The initiative integrated more than 100,00 data sources into the environment, supporting the delivery of over 12,000 insight services. An annual savings of €30 million was achieved, while establishing a stronger foundation for personalized consumer experiences and more informed decision-making.