Automated processes and AI-informed predictions improve worker productivity, allowing skilled teams to work smarter instead of harder. Management can focus less on hiring additional talent and more on improving the utilization of the current staff.

Mature organizations have rules for who can see and change data, as well as guidelines for how that data can be used. CRM has been built since its inception to support all types of data encryption and advanced security models. Business processes can be put in place to maintain governance, and data augmentation tools are available to keep your information accurate.

Traditionally, technology companies have been challenged to not only produce a product but also manage their cloud infrastructure. Many CRM products are now switching to Cloud infrastructure providers to allow a greater focus on the product. Those infrastructure providers enhance the experience with features like AI, BI, and data redundancy.

Many countries are concerned with protecting an individual's privacy. To respond, many have created laws such as CASL and GDPR to protect consumers. Most CRMs natively support the laws to comply with ever-changing regulations.

With the switch to software-as-a-service (SaaS), technology companies are challenged with managing subscriptions and renewals. Many CRMs now have modules to manage SaaS and renewals.

When deploying a new technology product, it's difficult to determine demand. By using a combination of direct market, affiliate, and social media advertising, one can determine product interest through click through rates and lead scoring mechanisms. These features come standard in most CRMs.