The entire field of Service Reliability is dedicated to finding the exact boundaries of acceptable errors, and defining the response function when those boundaries are crossed.

I would assume this actually gels very nicely with neural nets since its constantly optimizing for fitness. Hell in theory you could bake in your SLA/SLIs into the models to self correct? Give the model direct feedback that its unfit?