Modernize AEM and MarTech Estates with AI: From Legacy Experience Stacks to Production-Ready Adobe Delivery

Many enterprises are not starting their Adobe journey from a clean slate. They are working through years of accumulated web properties, inconsistent component libraries, manual publishing steps, disconnected marketing workflows and release processes that slow every change. In that environment, modernization is rarely just a platform migration. It is a broader effort to reduce friction across the systems, teams and operating models that sit behind digital experience delivery.

Publicis Sapient helps organizations modernize AEM and MarTech estates with an AI-assisted engineering approach that turns legacy complexity into a governed path toward production-ready Adobe delivery. Instead of treating modernization as a one-time replatforming exercise, we focus on how to accelerate releases, improve maintainability and prepare the Adobe stack for personalization, journey orchestration and future AI activation.

For many organizations, the visible issue is an outdated website. The deeper issue is the operating environment behind it. Content may live across multiple systems. Existing pages may not be fully inventoried. Components may have evolved inconsistently across markets or brands. Design handoffs often require manual interpretation. Engineering teams spend time reconstructing patterns that already exist, while release managers work around brittle deployment processes to avoid breaking production.

This slows down everything that should matter to the business: campaign launches, content updates, localization, testing and experience improvement. It also limits the value of broader Adobe investments. If the website foundation is hard to change, it becomes much more difficult to support real-time journeys, scalable personalization, connected data activation and AI-enabled content operations.

Publicis Sapient brings together deep Adobe expertise with enterprise AI platforms designed to modernize how digital products are built, delivered and run. With more than 15 years delivering personalized experiences, more than 1,000 certified Adobe specialists globally and seven Adobe Digital Experience Partner of the Year recognitions, we help clients move from fragmented experience delivery toward a more adaptive Adobe operating model.

That model combines Adobe Experience Manager with AI-assisted engineering capabilities from Sapient Bodhi and Sapient Slingshot. Bodhi helps orchestrate enterprise-ready AI workflows with the context, governance and controls needed for real business environments. Slingshot modernizes legacy systems by turning existing code into verified specifications and generating modern software with full traceability. Together, they help organizations reduce migration effort while preserving the governance standards required for enterprise delivery.

The AEM Experience Builder demo makes this transformation tangible. It shows how organizations can turn legacy websites and approved Figma designs into production-ready Adobe Experience Manager experiences through a structured, reviewable workflow.

First, existing websites can be crawled automatically to generate an inventory of pages and components ready for migration. This changes the starting point. Instead of relying on incomplete documentation or manual discovery, teams gain a clearer view of what exists and what needs to be rebuilt, consolidated or retired.

Next, approved Figma designs can be converted into AEM components and front-end code. This shortens the distance between design intent and engineering execution. Rather than recreating each pattern manually, teams can accelerate component generation while improving consistency across the experience estate.

Just as importantly, generated changes are not pushed blindly into production. Teams can inspect merge requests, review implementation details and approve code before deployment. That review step matters for enterprises balancing speed with architecture standards, accessibility expectations, compliance requirements and release governance.

From there, components can be deployed through an automated build pipeline, validated in Stage and then edited directly in the AEM authoring environment. The result is not just faster migration. It is a more repeatable delivery model that helps teams launch with greater confidence and continue evolving the experience after go-live.

Modernizing AEM with AI-assisted engineering is valuable because it improves the economics and cadence of delivery. Teams can spend less time rediscovering legacy behavior, translating design files by hand or coordinating avoidable rework. Release cycles become easier to manage. Component architectures become cleaner and more reusable. Ongoing maintenance becomes more predictable.

This also creates a better foundation for adjacent Adobe capabilities. Publicis Sapient helps organizations connect customer experience modernization with journey orchestration, decisioning and data activation across Adobe Journey Optimizer, Adobe Real-Time CDP, Adobe Analytics and Adobe Target. When the underlying experience platform is easier to update and govern, these tools become more practical to activate at scale.

In other words, modernization prepares the stack for what comes next. It makes it easier to deliver personalized content experiences across touchpoints, unify customer signals, test and optimize continuously and orchestrate journeys that respond to customer behavior in real time.

Many organizations also feel modernization pressure outside the website itself. Content supply chains are often slowed by disconnected tools, poor visibility, manual approvals and duplicated effort. Publicis Sapient addresses that challenge by extending AI into the broader content and marketing workflow.

Across AEM, Firefly and Workfront, we help enterprises build AI-enabled content supply chains that streamline creation, improve coordination and enforce governance by design. Intelligent agents can support asset discovery, generation, metadata enrichment, compliance scoring and localization workflows. That means modernization is not limited to page templates and code repositories. It can also improve the way content is created, managed and activated across brands, channels and regions.

For enterprises trying to scale personalization, this connection is critical. Personalized journeys break down when content operations cannot keep pace. A modern Adobe estate needs both a maintainable experience foundation and a more responsive content engine behind it.

One of the biggest fears in modernization is losing control in the name of speed. Publicis Sapient takes the opposite view: the right AI-assisted engineering model should strengthen governance, not bypass it. Reviewable merge requests, staged deployment, traceable modernization workflows and enterprise controls help organizations move faster without weakening standards.

That is especially important for large brands operating across multiple markets, business units and regulatory environments. They need scalable delivery, but they also need confidence that design systems, component logic, approval paths and production releases remain governed.

Adobe investments create more value when the systems beneath the customer experience are built for change. Publicis Sapient helps enterprises modernize those systems with a practical, production-oriented approach that combines Adobe platform expertise, AI-assisted engineering and end-to-end transformation delivery.

The opportunity is bigger than replatforming. It is about reducing migration friction, increasing release velocity, improving maintainability and building an Adobe foundation ready for personalization, journey orchestration and future AI activation. For organizations still operating through brittle websites and fragmented MarTech workflows, that is how modernization starts delivering measurable business value.

Relevant Links

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• FAQ (FAQ)
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