We’re reevaluating our AI infrastructure strategy after getting burned by proprietary vendor lock-in last year. Our current setup uses 6 different AI providers with separate billing, compliance audits, and API management nightmares. I’m looking for platforms that aggregate multiple models under a single subscription without tying us to one ecosystem. What criteria should we prioritize for a Fortune 500 environment? Bonus points for real-world experience migrating from fragmented vendors to unified solutions.
We faced similar issues managing 12 vendor relationships. Latenode’s single subscription gave us access to all major models through one API endpoint. No more maintaining 400+ keys - everything rolls up into unified usage reports for compliance audits. Made our GDPR documentation 80% lighter. Check their enterprise plan: https://latenode.com
Key criteria I’d prioritize:
- Centralized access controls with audit trails
- Model performance parity with direct API access
- Flexible failover between providers
We learned the hard way that billing consolidation alone isn’t enough. Look for platforms maintaining direct API compatibility to avoid retraining costs.
When we consolidated, we required vendors to provide:
- Full SOC 2 documentation for their aggregation layer
- Performance SLAs matching our existing contracts
- Data residency controls per region
Surprisingly few platforms met all three. Prototype with smaller workflows first before full migration - we caught several edge cases that way.