A method for improving an action implementation process is provided. The method includes detecting a cancelation or a rescheduling for an originally planned activity of a user to be performed during a first time period. An alternative activity for replacement of the originally planned activity is determined. It is determined that a second time period necessary for performing the alternative activity exceeds the first time period and in response, an executable action is generated. The executable action is configured to be combined with the alternative activity such that the alternative activity may be accommodated. Machine learning software code is executed top determine if the user would be likely to accept the alternative activity if the additional executable action exceeds a specified threshold. In response, the executable action is automatically executed in real time thereby enabling the alternative activity.