SaaS management strategies focus on AI agents and cost optimization

Businesses are evolving their approach to Software as a Service (SaaS) by integrating AI agents and refining spending strategies. Rather than replacing existing business systems, AI agents are expected to coordinate tasks across multiple applications, utilizing SaaS platforms as governed sources for data, rules, and permissions. This shift moves workflows from application-centered tasks to outcome-centered results, where agents act as an interface for systems like CRM or ERP software.

To manage costs, organizations are adopting structured approaches to license optimization and application rationalization. Key strategies include identifying inactive seats, addressing feature underutilization, and evaluating total cost of ownership during renewals. Companies must also decide whether to renew existing subscriptions, right-size current tiers, or invest in custom-built applications for specialized workflows that justify the development and maintenance costs.