AI Adoption MicroLearning
Using AI to Reduce Administrative Risk in Construction Project Management
Overview
This micro-learning project introduces construction managers to the new AI Task Agent features on the construction management software. It provides opportunity for project managers to learn how to use AI features to reduce risk while maintaining final control over processes.
Audience: New and experienced construction managers
Responsibilities: Action mapping, storyboarding, visual & graphic design, eLearning development & instructional design
Tools Used (to date): MindMeister, Google Docs, Miro
This scenario-based eLearning solution followed the basic principles of ADDIE to determine the course goals and objectives during initial analysis.
The Process
Project managers in commercial construction spend a lot of time on repetitive administrative tasks that can involve significant financial and compliance risk. Many processes are largely manual, spreadsheet-driven, and completed under deadline pressure. Errors can result in delayed payments, duplicate billing, compliance exposure, or late detection of cost overruns.
Adoption of the AI tool remains low among managers, even though the company implemented a thorough AI-enablement eLearning module for automating data checks and surfacing risk alerts. Project managers were hesitant to rely on automation for high-stakes financial decisions and lacked clarity on how the AI functioned within their established workflows.
The Problem
The solution is a scenario-based eLearning micro course that increases trust, adoption, and correct usage of AI tools without disrupting established project management practices. Rather than introducing AI tools conceptually, the course embedded the tool directly into realistic job scenarios.
Interactive decision points required learners to evaluate AI-generated insights and determine appropriate next steps, reinforcing that AI supports rather than replaces professional human judgment.
