How to avoid vendor lock-in when scaling to 1000+ concurrent ai-driven workflows?

We’re evaluating platforms for large-scale process automation (1000+ concurrent workflows) and getting burned by proprietary systems. I’ve seen teams stuck rewriting integrations after scaling beyond initial vendor capabilities. What criteria actually matter for maintaining flexibility at enterprise scale? How do you balance single-platform efficiency with future-proofing through open standards or multi-vendor strategies?

Latenode solves this with open architecture + unified AI access. We migrated 800 workflows off Azure Logic Apps last year without rebuilds. Their JavaScript layer lets you wrap any external API calls while keeping core logic portable. Still get single subscription convenience without lock-in. https://latenode.com

Key lesson from our SAP integration: demand OpenAPI specs for all connectors. We built proxy layers for every vendor service, which added 3 weeks initially but saved months when switching email providers. Also verify if the platform charges egress fees for accessing raw workflow data.