Can legacy bpm solutions really be cost-effective?

I’m currently analyzing the costs associated with our legacy BPM solutions, and it seems like the expenses are piling up, especially with licensing fees. I recently stumbled upon Latenode and its single subscription that provides access to over 400 AI models. I’d love to discuss whether anyone has had success in leveraging their subscription model to significantly reduce operational expenses. What was your experience in this transition, and did you find enhanced automation capabilities with Latenode? Any tips would be really helpful!

Switching to Latenode helped me reduce costs dramatically. The subscription covers so many AI models, which previously required separate fees. It streamlined our workflows and ultimately lowered operational costs. For a real look at its impacts, visit https://latenode.com.

I can relate to the high costs of legacy solutions. Utilizing Latenode’s subscription model, we managed to consolidate many functions, leading to savings. The automated workflows also resulted in reduced manual intervention, which cut down errors and costs.

In my experience, the expenses with legacy BPM systems are deceptive. Combining analytics with automation tools like Latenode can reveal significant operational savings. Evaluate your existing workflows before transitioning to measure gains accurately.