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- Digital Economy Dispatch #242 -- Looking for AI Success in the Seams
Digital Economy Dispatch #242 -- Looking for AI Success in the Seams
Digital transformation succeeds when it connects systems rather than focusing on individual parts. AI is most powerful when deployed at these intersections to eliminate friction.
When I work with organizations on digital transformation at scale, I typically see them focusing on obvious targets: upgrading legacy systems, implementing new technologies, or restructuring job roles. While these initiatives matter, I've learned that the most transformative opportunities often lie hidden in plain sight—at the seams where different systems, processes, and teams intersect.
The Power of the Seams
Over many years of working in large, complex projects, the concept of "searching in the seams" has been particularly significant. In digital transformation, this refers to the critical junction points where workflows converge, data is transferred between systems, or teams collaborate across organizational boundaries. These intersections represent the confluence of separate elements that must work together to create value. Yet they are often overlooked in transformation strategies, treated as afterthoughts rather than strategic focal points.
Organizations that fail to place a focus on these seams struggle to deliver meaningful efficiencies. Consider an example where customer data must flow from marketing platforms to CRM systems, then to fulfilment databases, and finally to customer service tools. Even in this common situation, handoffs are points where information is too often lost, delayed, or misinterpreted.
I'm sure we’ve all seen these friction points cascade throughout organizations. And we’ve also seen the consequences. Data synchronization delays leave development teams working with outdated software, management build forecasts from stale pipelines, customer service representatives operate with incomplete information, sales teams pursue leads that marketing has already disqualified, wasting resources and potentially damaging relationships.
Moreover, seams frequently become bottlenecks where manual interventions are required to bridge gaps between automated processes. As we learned from lean practices, it’s the handoffs that matter. They are where poor quality issues and delays arise. Yet, these human touchpoints also represent the greatest opportunities for automation and optimization.
Finding Opportunities that Matter
The most successful digital transformation initiatives recognize that seams are not problems to be minimized but opportunities to be maximized. When organizations examine their workflows through the lens of interaction analysis, they often discover that their greatest competitive advantages lie in how well they manage these connection points.
This approach requires a fundamental shift in thinking from functional optimization to system-wide integration and a revised focus on systems thinking. It means investing in the connective culture between departments, the APIs that link disparate systems, and the collaborative processes that enable cross-functional teams to work as unified entities rather than separate departments.
The AI Imperative: Scaling Intelligence in the Seams
As organizations increasingly look to AI as the focus for transformation, the lessons of “searching in the seams” become even more critical. AI systems are particularly powerful when deployed at intersection points, where they can process information from multiple sources and make intelligent decisions about how to coordinate between different systems and processes.
However, the complexity of seam management also represents one of the greatest challenges in scaling AI adoption. Individual AI applications may perform excellently in isolation, but their value multiplies when they can work together. This requires careful attention to data compatibility, process integration, and governance frameworks that ensure AI systems can collaborate effectively.
The organizations that will succeed in scaling AI are those that approach it not as a collection of point solutions but as an integrated capability that enhances their ability to manage complexity at scale. This means designing AI initiatives with seam management as a core principle, ensuring that new intelligent capabilities enhance rather than complicate the connections between existing systems and processes.
Strategic Implications for Digital Leaders
For digital leaders and decision makers, the seam-focused approach to transformation offers both a methodology and a mindset. It suggests that the most valuable transformation opportunities may not be the most obvious ones, and that sustainable competitive advantage often comes from excelling at the seemingly mundane work of integration and coordination.
This perspective demands that leaders look beyond the boundaries of individual projects, processes, or departments to understand how their organization creates value through the orchestration of multiple capabilities. It requires investment in capabilities that may not have obvious ROI calculations but that enable the entire organization to perform at a higher level. This is not easy.
Most importantly, it suggests that as digital transformation matures from a series of discrete initiatives to an ongoing organizational capability, success will increasingly depend on how well organizations can manage the growing complexity of their digital ecosystems. The leaders who master the art and science of seam management will find themselves with organizations that are not just digitally transformed, but capable of continuous adaptation and improvement in an increasingly complex world. And ready to respond to the next spin of the digital wheel.