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Key Takeaways SaaS made it easy for any company to adopt new software into their operations, so businesses now run dozens of disconnected applications. Each has its own dataset, login and subscription.
Information gets trapped across systems, employees waste time switching between them, and the SaaS explosion that promised simplicity ends up eroding productivity.
Generative AI is changing software ownership. The citizen developer phenomenon is exploding, and companies are building automated processes that used to take dedicated teams months to implement.
Rather than taking on another SaaS license, generative AI can adapt existing processes and customize platforms already in use.
For more than 20 years, Software-as-a-Service (SaaS) has transformed how businesses use technology to run their operations. Instead of hosting and maintaining business software on-site, SaaS allows businesses to host business applications in the cloud and pay for software subscriptions rather than infrastructure. Cloud applications now handle everything from CRM to payroll, with little need for on-site technology.
However, the success of the SaaS model has created a new problem — application glut.
Companies now run dozens of separate applications to manage every aspect of their operations. And each application requires its own subscription, login and data model. While SaaS initially simplified business operations, the volume of disconnected SaaS applications has now introduced a new level of complexity.
Businesses don’t want to add more technology to meet their business needs; they just want to simplify operations. The traditional SaaS model is changing. To tame growing SaaS complexity, more businesses are embracing AI, automation and no-code tools to integrate SaaS workflows and make SaaS applications more useful.
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