This paper proposes the framework for automatic calculation of secondary lining cracks remediation costs. A study focuses on the structural cracks resulting from the tunnel secondary lining overloading due to rock mass creep. It is based on the multi-phase workflow combining the on-site measurements of behavior of the rock mass surrounding the tunnel and advanced numerical modelling tools assisted by the custom custom-made neural network, as well as the cost calculations. The workflow is established through the developed TunnCrack LCC platform where the data communication protocols between phases provided the straightforward and automatic data flow. Based on the evaluated long-term behavior of a tunnel, the secondary lining crack repair cost could be calculated for the different crack widths. The established platform presents a step forward in proactive estimation of the secondary lining remediation costs, where the monitoring data is continuously used to enhance the estimates of the crack repair costs, providing the tunnel managers with information on lining remediation life cycle costs, thus easing the overall decision-making process. •A framework for automatic calculation of secondary lining cracks remediation costs is presented•TunnCrack LCC platform backbone is in on-site monitoring data which feeds into advanced numerical models•Neural network is used to estimate the most probable rheological set so that long-term behavior of rock mass is identified•Long-term rock mass behavior is utilized to calculate the long-term costs of secondary lining remediation•Proactive assessment of lining cracking assists in maintenance of a secondary lining throughout the tunnel's service life