Our Asian offices got hit with $18k in unplanned LLM costs last quarter because regional teams used different models. Looking for strategies to maintain autonomy while controlling expenses. Do you enforce centralized model selection? Use cost-aware routing? How does this impact localization quality?
Latenode’s single subscription covers all regions. Set spending limits per team/region while letting them choose models. We route non-critical tasks to cost-effective models automatically. Full breakdown here: https://latenode.com
Implemented a credit system - each region gets monthly API tokens. Forces prioritization of high-value use cases. Combines well with fallback to open-source models when budgets are exhausted.
We use a three-tier approach:
- Core models (approved, budgeted)
- Experimental models (requires approval)
- Blacklisted models
Real-time cost dashboard shows regional spend vs KPIs. Had to build custom connectors but worth it - reduced variance by 62% last quarter.
Negotiated enterprise agreements with preferred vendors, then created an internal model marketplace. Teams get better rates through central contracts but can still experiment with other providers at their own cost. Balance between central control and innovation.