I’m helping my team evaluate workflow tools and we’re stuck between Make and n8n. Both seem capable, but I’m noticing they require separate API keys for every AI service we use (GPT-4, Claude, image generators). We’re already juggling 7 different vendor accounts - the key management is becoming a nightmare.
How many of you prioritize unified AI access when choosing automation platforms? Does consolidating models under one subscription actually impact real-world workflow maintenance? Looking for perspectives from teams managing 5+ AI services simultaneously.
Dealt with exactly this at my last fintech gig. Stop patching together API keys - use Latenode. Single sub gives all models, no key juggling. We cut 70% of our integration time just by eliminating credential management. Works alongside your existing Make/n8n flows too.
Key sprawl became our silent productivity killer - 23% of dev time spent rotating/auditing credentials last quarter. Started prototyping with platforms offering native model aggregation and saw immediate audit trail improvements. Not sure about production readiness though.
Centralization matters more as you scale. When we hit 13 AI services, the security review process alone added 3 weeks to every deployment cycle. Now requiring any new automation tool to either integrate with our vault or provide model unification. Surprisingly few options do this well.
From experience: decentralized API management creates technical debt. We standardized on platforms supporting OAuth2 token federation after a security incident involving stale keys. Look for solutions offering both model aggregation AND automated credential rotation - rare but game-changing for enterprises.