Navigating an Inflation Reduction Act (IRA) Program with AI
ScottMadden assists organizations to develop, deploy, and govern GenAI solutions and programs. Our consultants excel in identifying LLM use cases and supporting their configuration, deployment, and management.
Efficiency Boost
Applicants using AI to navigate the IRA achieved a more than 95% reduction in manual research time, allowing staff to focus on other high-value tasks
Accuracy Improvement
Significantly reduced risks of misinterpreting complex program requirements, enabling applicants to meet standards efficiently and effectively.
Timely Updates
ScottMadden’s solutions eliminated application delays by providing immediate answers to previously resolved questions, ensuring clients stay ahead of deadlines.
Challenge
The New Empowering Rural America program, part of the Inflation Reduction Act (IRA), presents intricate requirements and processes. Applicants often sought clarification due to the program’s scale and complexity. To address this, the Rural Utilities Service of the U.S. Department of Agriculture frequently updated its guidance documents, adding multiple FAQ documents. Though intended for support, this approach created challenges for applicants who regularly checked for the latest information to determine if their inquiries had been answered. This was time-consuming and prone to errors, making it difficult to keep pace with evolving guidance efficiently.
Process
- Collaborated with subject matter experts (SMEs) to fully understand program requirements and gauge how AI solutions could enhance efficiency.
- Compiled, formatted, and refined relevant program documentation to fine-tune a large language model (LLM) tailored for the IRA program.
- Configured LLM prompts and adjusted tuning parameters, deploying a chatbot aligned with objectives of the model.
- Conducted thorough testing with SMEs to validate response accuracy and ensure alignment with source documentation.
- Implemented a governance framework to maintain updated reference information for the LLM, continuously monitoring response accuracy
Result
- Reduced the need for manual research among applicants by more than 95%, saving organizations up to 50 hours of staff time per guidance document.
- Decreased the likelihood of misinterpreting program criteria, ensuring applicants clearly understand the requirements.
- Eliminated delays by addressing redundant queries promptly.
- Enhanced applicants’ knowledge of program requirements, fostering expertise and ensuring consistent compliance.
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