Agentic ADM

Continuously modernize and run your applications at speed and at scale with AI

For years, application development and maintenance (ADM) focused on stability: keeping critical applications running efficiently. Now, expectations have changed. Organizations need faster time to value, lower total cost of ownership, better experiences, and the ability to operationalize AI at scale.

Agentic ADM by Capgemini modernizes traditional ADM into an end-to-end, AI-enabled engine that helps organizations run smarter, build faster, and transform deeper. This frees up capacity for transformation and turns application operations into a sustained source of business value. 

Move beyond static support toward always‑on transformation

Agentic ADM embeds AI, automation, and product‑oriented delivery (PODs) natively across application support, maintenance, development, modernization, and data and AI operations.

Instead of reactive, SLA‑driven delivery models, it enables predictive and autonomous operations and faster delivery of new functionalities, and business outcomes are aligned to experience-level agreements (XLAs).

Driving this approach are three integrated layers:

Unified ADM data and semantics

A unified data lakehouse combining operational, observability and business data — built for AI‑driven operations.

AI and agentic ADM engine

Agentic capabilities across application support, maintenance, development and data operations, with human‑in‑the‑loop governance.

AI and agentic observability and control plane

End‑to‑end visibility, experience monitoring (XLAs), auditability and security, leveraging Capgemini RAISE building blocks.

We can deploy within 12 weeks, inside or outside the enterprise and integrate with existing AI tools and platforms, with platform benefits that are built into delivery commitments.

Our Agentic ADM approach

Capgemini’s approach combines AI platforms, agentic capabilities, and deep industry expertise across three dimensions.

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

What clients achieve with Capgemini ADM

With Agentic ADM, organizations can reduce the cost and effort of application operations while accelerating both application and data modernization. Faster time-to-market for new services is achieved alongside a rebalancing of IT capacity, shifting focus from “run” to innovation and transformation. At the same time, application services are aligned to measurable business outcomes, all while maintaining operational stability and service continuity.

Deep expertise, proven at scale

Capgemini brings together domain and industry expertise with industrialized delivery and AI‑driven execution. We help enterprises modernize complex application estates while supporting continuous change—at global scale and with confidence.

Client stories

Improving retail operations during peak trading seasons

As part of ADMnext by Capgemini, the Peak Monitoring Dashboard proactively monitors systems and applications to ensure zero operational disruptions

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Stabilizing and upgrading a restaurant’s platform to meet future demands

Future-proofing with a stable, scalable cloud-based platform suited for the fast-food industry

Read more

Millions of UK citizens manage tax through the HMRC mobile app

Capgemini collaborates with HMRC to develop and evolve a highly accessible native mobile app to make managing tax processes easier and more efficient for customers

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Bridging gaps between order management and billing for a European Telco to restore revenue accuracy

Breaking down silos between order management and billing systems of a European Telco major to restore accurate revenue generation

Read more

Delivering scalable solutions for customer experience management for a leading American industrial tech corporation

Capgemini enables a reliable, scalable application landscape using ADMnext solutions that elevates customer experiences while improving agility and responsiveness

Read more

What we do

We leverage AI natively in everything we do. By focusing on experiences rather than services, we transform data and AI to enable value creation.

Run and support applications smarter

We keep your business-critical applications running smoothly while using AI and agentic systems to prevent issues, speed up resolution, and continuously improve service quality.

We help you deliver new features sooner and modernize legacy systems using an AI-assisted engineering approach so teams can ship more safely, more often, with less rework.

We modernize data platforms and digital foundations so you can use trusted data to improve experiences, enable AI use cases, and unlock new value from your technology estate.

We improve end-to-end reliability through monitoring and automation, while putting the right security and oversight in place to manage risk and keep AI usage safe and transparent.

Who we are

Agentic ADM is Capgemini’s modern ADM platform, purpose‑built for an AI‑driven world. It combines AI, automation and human expertise to run, evolve, and modernize applications. At its core is a unified platform that brings together data, AI engines and governance, with Capgemini orchestrating hyperscalers and AI tools through a trusted control layer. This enables scalable, resilient application operations with built‑in observability, security, and continuous optimization.

    7-time next-gen ADM champions

    ISG recognizes Capgemini as an ADM market leader for the 7th year in a row.

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    Leader in intelligent automation

    ISG recognizes us as a leader in intelligent automation across the US and Europe.

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      Reimagining application management for the AI era

      Agentic ADM transforms traditional application management into an AI-powered growth engine, enabling organizations to run smarter, build faster, and innovate at scale. It shifts the focus from reactive maintenance to proactive, outcome-driven value creation powered by autonomous agents.

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      Agentic ADM at Capgemini

      Industry‑specific solutions coming soon

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      Meet our experts

      Arash Afsarian

      Arash Afsarian

      Vice President AI and D&A, Capgemini Invent Sweden-Finland
      Arash has over 20 years’ experience from consulting and leading technology companies where he focuses on the intersection of technology, sustainability, and strategy. Arash works closely with companies on how to leverage AI and analytics to become more data-driven and how data and technology can help to drive and accelerate the sustainability agenda.