Service leaders are under pressure. In an uncertain economic climate, budgets are tight, but expectations aren’t. You’re still accountable for growing service revenue, improving SLA performance, increasing asset lifetime value, retaining skilled technicians, and elevating customer satisfaction. Yet many organizations are constrained by annual SaaS investments that can run into millions. At the same time, AI is fundamentally reshaping everything about traditional software. AI is now convincingly delivering reliable software at unprecedented speeds. While AI can be layered on to existing systems for incremental value, many leaders are asking a more strategic question: Can AI help reduce core software costs and free up capital for higher-value service priorities like recruitment, training, safety, and innovation?

• How AI is changing the economics of SaaS in service organizations
• What “build vs. buy vs. reimagine” looks like in 2026
• How to assess flexibility, long-term adaptability, and total cost
• How to evaluate risk, disruption, and migration pathways in a pragmatic way

Walk away with a new lens for evaluating software strategy in the AI era. If software costs are crowding out your ability to invest in what truly drives service performance, this session will give you a structured way to rethink the equation and test what’s possible.