Low inference prices can tempt teams to automate high volumes before they understand the workflow. That can create more output, more review and more opportunities for error.
What practices should take from this
The economic question is cost per successful, reviewed outcome. Include integration, staff attention, exceptions, support, rework and the operational cost of downtime.
Use a staged volume plan. Prove that the workflow is useful and safe on a representative sample, then scale while watching quality and exception rates.
The least expensive model is not the least expensive system. The best value comes from the simplest reliable workflow that actually returns capacity.