Beyond Build vs. Buy: Why "Build" Is Back in the AI Era

For years, the conventional wisdom in enterprise software favored "buying" off-the-shelf solutions, primarily for their perceived speed and stability. The "build vs. buy" debate seemed settled, with a plethora of pre-packaged SaaS offerings crowding the SalesTech, MarTech, FinTech, HRTech and other such functional areas. However, the rapid advancements in AI and the emergence of sophisticated low-code/no-code tools, including Remix, are dramatically re-opening this discussion. Today, the "build" option is not just viable but increasingly strategic, offering enterprises a pathway to truly tailored and evolvable solutions.

What Made "Buy" Win

What makes "build" so compelling in the age of AI? Consider the key factors that influenced the debate pre-AI, which tilted in favor of 'buy': time to market, total cost of ownership, features and functionality, domain knowledge and expertise, and core competencies.

While many organizations benefited from SaaS vendors' capabilities in the above areas, and automated their processes using these tools, the marginal return from these investments began to fade as projects became complex, customizations became expensive, and time to market became an exercise in tradeoffs where the business value was compromised.

The Case for Building Today

However, modern development platforms like Remix empower organizations to create highly role-specific and extensible user experiences, designed to meet the precise needs of their workforce. Unlike rigid off-the-shelf products, built solutions offer the flexibility to adapt and evolve over time, benefiting from organizational domain knowledge while ensuring they remain aligned with changing business requirements and emerging tech landscapes. This agility is crucial in a fast-paced environment where generic solutions managed by a SaaS vendor's roadmap often fall short.

Unlocking AI's Full Potential

The key to successful "build" initiatives lies in a roadmap informed by data, rapid development, seamless integration, and iteration. By strategically building rather than just buying, businesses can unlock the full potential of AI. In fact, bespoke solutions can unify workflows, bring data into user context, and empower AI-driven guidance across traditionally siloed SaaS applications — where businesses can craft a system-of-engagement that works for their processes.

This marks a significant shift, enabling organizations to move from a fragmented application landscape to a digitally transformed and productive workplace.