Build versus Buy - AI Apps
Master the enterprise AI dilemma with this hybrid build-vs-buy roadmap. Learn six principles for reliable agentic systems and a framework to measure real ROI through capacity growth. Build internal expertise first to secure your data and lead with technical judgment.
Deciding whether to build, buy, or outsource AI applications is a pivotal challenge for mid-sized organizations today. This insight paper proposes a hybrid strategy where sequencing is more important than the initial choice, recommending that you build a small number of core AI agents internally before engaging with outside vendors. This initial internal development phase allows your team to develop the technical judgment necessary to realistically scope future projects, evaluate vendor claims, and avoid the hidden costs of outsourcing before your organization truly understands the underlying technology.
The paper provides a clear framework for categorizing AI into "Horizontal" tools for general productivity—which are best purchased—and "Vertical" use cases that offer strategic differentiation for your specific business functions. By following this deliberate path, you secure full control over your proprietary data and intellectual property while building a balanced portfolio that optimizes for both speed and long-term internal expertise. Download the full insight paper below to access the complete decision matrix and the four essential questions every leader must ask before launching an AI system.
