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:
- Technology Evolution: The pace of technological change is faster than ever, with AI fueling this trend. It's crucial to choose software that can be easily replaced when better alternatives emerge.
- Time Efficiency: Time is a valuable resource in today's fast-paced business environment. Instead of searching for the perfect software, focus on finding software that is fit for purpose and easy to integrate, enabling quick decision-making.
- Flexibility: Businesses must be agile and adaptable to changing market conditions. Opt for software that seamlessly integrates into existing systems, allowing for flexibility and the ability to respond rapidly to new opportunities.
- Responsiveness: Being able to respond quickly to evolving business needs is vital for staying competitive. By prioritizing ease of integration, you can enhance responsiveness and gain a significant advantage.
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.
Tag(s):
AI
By: Russ Malz
Russ Malz is the Chief Revenue Officer at KnowledgeLake.