AI point solutions are becoming increasingly popular due to their ability to quickly impact a wide range of critical business operations. However, buying AI point solutions can pose a challenge for many companies. Traditionally, companies focused on selecting software based on its features and functions. While this approach was suitable for large enterprise systems, it often led to lengthy and complex procurement processes. Additionally, companies were locked into specific vendors, squashing their ability to innovate and adapt to changing technologies.
To overcome these challenges, companies need to shift the buying process towards composability. This means finding software that easily integrates into existing business systems and solves specific problems quickly.
Here are key considerations when evaluating AI point solutions:
While features and functions were once the primary focus when selecting software, this mindset is less relevant for AI point solutions. The emphasis now lies in finding software that integrates well with existing systems and addresses specific challenges efficiently. Composability is the key AI buying criterion to ensure a seamless integration process and quick problem-solving capabilities.