LIVE WEBINAR: Predictable AI Cost Is a Design Choice
Join us live Thurs, Dec 3 at 11am EST / 8am PST / 4pm GMT!
As AI takes on more work across IT operations, its cost grows with every request, every reasoning step, and every team that puts it to work. That usage-driven spend resists forecasting. It makes budgets harder to plan, harder to defend, and difficult to tie back to the work AI completes.
In this live webinar, Resolve’s Product Marketing Director, Zack Austin, and Principal Sales Engineer, Derek Pascarella, present an execution model that pairs AI reasoning with governed, deterministic workflows that follow defined, repeatable steps. The result is workflow execution that has more predictable AI cost, continuous reliability, and auditable from end to end, along with a clear way to measure its value as you plan for 2027.
What You’ll Learn
- Why AI costs scale with usage, and why open-ended AI execution makes spending so difficult to forecast as adoption grows.
- How pairing AI reasoning with governed, deterministic workflows brings consistency to how work gets done and has more predictable AI cost.
- How this execution model improves reliability and builds auditability into the work AI completes across IT operations.
- How measuring cost per completed outcome connects AI spending to results and gives you a practical way to assess its value.
If expanding AI across IT operations is part of your 2027 strategy, this session gives you a clear framework for planning that investment with more confidence in what it will cost.
Register now to save your spot.
