Qualified Digital Unveils AI to Slash Adobe Migration Time by 85%

RENO, NV – December 18, 2025 – Digital consultancy Qualified Digital has announced a new AI-assisted accelerator designed to radically reduce the time and effort required for enterprises to migrate to the Adobe Experience Platform (AEP) Web SDK. The company claims its solution can accelerate the typically manual, resource-heavy process by over 85%, turning a multi-week technical ordeal into a deployment measured in days.

The announcement addresses a significant pain point for businesses navigating the complex world of digital modernization. As companies strive to unify customer data and gain deeper insights, migrating to sophisticated platforms like AEP has become a strategic imperative. However, the journey from legacy data collection scripts to the new, unified AEP Web SDK is notoriously challenging, creating a major bottleneck for realizing the platform's full potential.

The High Stakes of Digital Modernization

Enterprises today are under immense pressure to adapt to a rapidly changing digital landscape. The impending demise of third-party cookies and rising consumer expectations for privacy and personalization have made first-party data strategies non-negotiable. Adobe Experience Platform stands as a cornerstone for many large organizations, promising a unified view of the customer that enables real-time personalization and sophisticated analytics through tools like Customer Journey Analytics (CJA).

However, unlocking these capabilities requires a foundational migration to the AEP Web SDK, a process that consolidates older, separate JavaScript libraries for Adobe Analytics (appmeasurement.js) and Adobe Target (at.js) into a single, streamlined SDK. While the end state is more efficient, the transition is a complex, multi-dimensional initiative. Industry experts note that such migrations can feel overwhelming, with some large-scale projects potentially stretching out for many months, even up to two years in complex cases.

The challenge lies in the fundamental paradigm shift it represents. It's not a simple 'lift and shift' operation. It requires a complete reassessment of an organization's data layer, the design and implementation of a new Experience Data Model (XDM) schema, and the painstaking mapping of hundreds or even thousands of existing data points to this new structure. This process is traditionally manual, prone to human error, and consumes vast amounts of time from highly skilled, and expensive, analytics and engineering teams. The significant time and resource investment often delays the very value the platform was purchased to deliver.

AI Enters the Migration Maze

Qualified Digital’s new accelerator aims to break this logjam by injecting AI-powered automation into the most arduous phases of the migration. The solution is engineered to automate complex and repetitive tasks, such as mapping legacy data variables to the new XDM schema and reconfiguring tags within the Adobe Tags property. By handling this technical heavy lifting, the accelerator drastically cuts down the manual effort involved.

“By minimizing the manual implementation burden, our AI-assisted accelerator helps clients realize value with Customer Journey Analytics and the rest of the Adobe Experience Platform solutions faster,” said Kevin Haag, SVP of Data Strategy at Qualified Digital, in the company's announcement.

This move places Qualified Digital within a growing trend of specialized service providers leveraging AI to tackle complex enterprise IT challenges. The competitive landscape for AEP implementation is populated by numerous Adobe Solution Partners, some of whom, like Merkle, also offer their own accelerator platforms designed to streamline AEP adoption. These tools are emerging in response to a clear market need for solutions that can de-risk and speed up digital transformation projects. Adobe itself has embraced an 'API-first' philosophy for its platform and is heavily investing in its own AI capabilities, creating an ecosystem where third-party innovations that facilitate adoption are welcome.

The core value proposition is a dramatic reduction in time-to-value. By accelerating the foundational technical setup, businesses can shift their focus from the mechanics of implementation to the strategic goal: generating actionable insights from their data.

The Human-in-the-Loop Imperative

While the promise of AI-driven speed is compelling, Qualified Digital emphasizes a “human in the loop” model, a critical component that distinguishes the approach from a fully autonomous, 'black box' solution. The accelerator is designed not to replace analytics engineers, but to augment their capabilities.

In this model, the AI performs the bulk of the repetitive, technical migration tasks, but the human expert remains in full control. The analytics implementation engineer is responsible for validating the AI’s output, overseeing the quality assurance process, and ultimately making the final decision to publish the changes. This synergistic approach reflects a broader industry consensus on the future of AI in professional services: AI serves as a powerful co-pilot, not the pilot.

This human oversight is crucial for several reasons. First, it ensures accuracy. AI models are only as good as the data they are trained on and can make mistakes; a human expert provides the necessary context and judgment to catch and correct errors. Second, it maintains strategic control. Data migration often involves nuanced business logic and historical context that an AI cannot fully grasp. Finally, it builds trust and manages risk. By keeping engineers at the helm for validation and deployment, organizations can confidently adopt automation without ceding control over their critical data infrastructure. This balance allows teams to harness the efficiency of AI while retaining the strategic insight and quality assurance that only human expertise can provide, transforming the role of the engineer from a manual coder to a strategic overseer of an automated system.