The progression of diverse disciplines in the Indonesian context invariably encompasses the engagement of service providers, particularly contractors, in the realm of construction. Consulting services, being professional in nature, demand a specific set of skills rooted in various scientific domains, with a primary emphasis on proficient cognitive capabilities. Within this context, construction consultants assume a pivotal and indispensable role in ensuring the triumphant outcome of any given project. Development project planning consultants encounter the challenge of accurately estimating costs, timelines, and quality parameters to ensure the efficient and effective attainment of project objectives. This study employs a deterministic quantitative methodology, involving numerical computations to inform the decision-making process for policymakers. A quantitative approach is adopted to acquire empirical data, investigate the interplay between these data, and examine their correlation with established theoretical frameworks. The data analysis in this study follows a structured process encompassing four distinct stages. The initial phase involves a descriptive analysis, which aims to elucidate key statistical parameters such as the minimum, maximum, and mean values of the remuneration price offer provided by 91 respondents. The subsequent stage of remuneration computation entails the adaptation of a formula to derive an optimal remuneration figure that aligns with prevailing economic circumstances during project execution. The third stage centers on conducting sensitivity analysis in the context of decisionmaking, taking into account both non-ideal and worst-case scenarios. The fourth stage entails a multivariate statistical analysis, aimed at ascertaining the structural relationships among diverse exogenous (independent) variables and endogenous (dependent) variables, while quantifying the extent of their direct and indirect influences, as well as the overall impact of the model constructed in this study. The research findings corroborate the following: 1) The pricing offered by consulting experts at the minimum and maximum values closely approximates the standard rates established by Inkindo. 2) Regarding the trade-off of expert remuneration, the calculations reveal that the compensation offered by experts to project planning consultants at both the lowest and highest remuneration levels closely align with the minimum remuneration standard set by Inkindo. 3) The decision-making process for determining the profit amount for consulting service experts involves selecting the lowest profit value during unstable conditions or when there are few available projects. Conversely, during stable conditions or when there are many projects available, the profit amount is determined based on the highest profit value, which is automatically linked to the expert remuneration price offer. 4) It is imperative to offer a competitive salary package to experienced leaders, along with additional expenses, when they are assigned to projects that are in a precarious state or have limited opportunities. Particularly in stable circumstances or when there are numerous projects, the government provides experts with basic salaries and allowances.