I see two differences hidden between much overlap: expert/layman and embrace constant retuning/embrace creeping detuning. Since we are only taking about allowing investors to tap into possible efficiency gains in the execution of bureaucratic processes (and not into actual resource allocation, as it happens for example in highly regulated but not fully state-run healthcare systems or in renewable energy programmes), there is a natural upper limit for disoptimization. So in a way this problem is much easier than other, very similar regulation/gaming the system scenarios and a loose reins approach should be less risky.