How Companies Are Optimizing AI Spend
AI cost optimization is the new FinOps. As AI spend climbs, finance and operations leaders are looking past raw usage to find where AI is actually paying off, and where it is not.
Where AI spend leaks
- Idle seats on premium AI plans
- Duplicate tools doing the same job for different teams
- Over use of expensive models for simple tasks
- Workflows that look automated but still need heavy human review
Tactics that work
1. Right size your seats
Use AI spend tracking to see who actually uses each tool weekly. Reclaim or downgrade idle seats. Our guide to tracking AI usage and cost walks through the setup.
2. Match model to task
Route simple tasks to cheaper models and reserve top tier models for complex work. Even modest routing changes cut spend significantly.
3. Consolidate overlapping tools
If two tools serve the same workflow, the one with weaker AI ROI is the one to retire. Use a consistent AI ROI framework to compare them fairly.
4. Operationalize ROI reviews
Make AI ROI a monthly review, not an annual project. An AI ROI dashboard like Midgentic makes this lightweight.
Get a baseline this week
You cannot optimize what you cannot measure. Start free or see pricing to put real numbers behind your AI spend.