Alright, so I’ve been deep in the weeds evaluating workflow orchestrators for our new healthtech project launching next year. We’re dealing with sensitive PHI, need tight compliance (HIPAA, obviously), and have to automate complex patient onboarding and data sync flows between our Salesforce Health Cloud instance and several EHR systems.
We’ve tested a few of the usual suspects, but the landscape feels like it's shifting fast. Everyone’s adding “AI agents,” but I’m less interested in buzzwords and more in reliability, audit trails, and how well these tools handle conditional logic with real-world, messy healthcare data.
My early take: the “best” tool isn’t just about the fanciest LLM calls. It’s about how you manage context, handle fallbacks when an LLM gets confused, and maintain data integrity through the whole chain. I’ve been looking at Lindy, but also some newer platforms like Vellum and even custom setups with LangChain on Azure.
Has anyone here run a production healthtech workflow in 2025/2026? I’m especially curious about:
* How you’re handling HIPAA-compliant logging and data retention.
* Whether you’re using a single orchestrator or a hybrid approach (e.g., one tool for LLM routing, another for core ETL).
* The cost of mistakes—what guardrails actually worked when an LLM hallucinated a patient ID or medication code?
Our pilot is using mostly structured data, but we’re ramping up on processing clinical notes. Would love to hear any migration stories from simpler automations to these more complex, LLM-driven workflows. What did you wish you knew before you started?