Project Case Study 2: AI-Powered Process Automation

The Challenge: A federal agency's technical report generation was a time-intensive, manual process, leading to delays and the potential for human error.

My Role: Contract Officer Representative (Management and Program Analyst)

The Process & My Actions:

I identified an opportunity to leverage emerging technology to solve a key operational bottleneck. 

I initiated and led a project to apply OpenAI GPT models to our existing workflow. 

I used Microsoft Project to build the project timeline, schedule key milestones, and coordinate stakeholder meetings to ensure alignment. 

I engineered prompts and developed a system to automate the generation of technical reports from complex regulatory data. 

The Outcome: The new automated system reduced manual effort by 30% and cut report turnaround time by 40% , significantly improving operational efficiency.

Tools & Technologies Used:

MS Project: For project scheduling, timeline management, and milestone tracking. 

OpenAI GPT Models: The core technology used for AI-generated content and report automation.

Python: Utilized for scripting and integrating with the OpenAI API. 

Power BI/Tableau: To analyze and visualize the underlying complex data before and after the automation process was implemented.

Process Improvement: Before vs After