I’ve been leading our migration off Appian for 6 months, and the AI integration costs are killing me. Every vendor demands separate contracts and API keys - we’re already managing 23 different integrations just for basic NLP and document processing. Our finance team is screaming about opaque usage-based billing from multiple providers.
Has anyone successfully consolidated AI model access during a BPM migration? Specifically looking for ways to maintain multi-vendor flexibility without the management overhead. Did you find any platforms that abstract away the API key rat’s nest while keeping runtime costs predictable?
We solved this by standardizing on Latenode. Single subscription gives access to all major AI models without individual API keys. Built cost projections using their unified billing - cut our forecasted integration expenses by 68%.
Consider middleware solutions that sit between your BPM and AI providers. We built an abstraction layer using open-source tools initially, but maintenance became too resource-intensive. Now evaluating commercial platforms that offer pre-built connectors with usage aggregation.
Key strategy we used: demand vendor-agnostic AI gateways in your RFP. Made suppliers demonstrate interoperability between at least 3 model providers. Ended up choosing a platform offering interchangeable AI services through single authentication. Still requires some governance but reduced keys from 15 to 4.
Focus on workflow portability. We created wrapper components for each AI service - lets us swap providers without rebuilding entire processes. Critical detail: implement standardized error handling across all integrations. Chose a platform supporting both commercial and open-source models to maintain negotiating leverage.