At Serverless Solutions, we understand the challenges and opportunities AI presents. Whether you’re just beginning to explore its potential or looking to refine existing systems, our team is here to guide you through every step of your AI journey.
Recently, we worked with a client in the disaster recovery and construction industry, leveraging Generative AI to solve a critical challenge.
The Problem
Our client faced significant hurdles:
- Document Overload: They had thousands of documents, including Statements of Work, Work Plans, and Requests for Proposals (RFPs).
- Time Constraints: To remain competitive, they needed to quickly generate RFPs—sometimes within as little as two weeks, particularly in disaster recovery scenarios.
- Historical Depth: With over 100 years of service, they needed a way to pull insights from decades of prior projects and experiences.
- Massive Data Volumes: Gigabytes of data spanning numerous projects and documents made manual retrieval inefficient and unsustainable.
The Industry Context
Our client operates across a wide range of sectors:
- Construction, Remediation, and Site Recovery: Providing services nationwide to government agencies, commercial entities, and industrial clients.
- Disaster Recovery Expertise: Offering end-to-end solutions in response to natural disasters, often under extreme time constraints.
The Technology
To address the client’s challenges, we designed and implemented an AI solution powered by the GPT-4o model and tailored for their specific needs:
- Data Preparation: Classify, extract, transform, and index all source data from their vast repositories.
- Generative AI Integration: Supplemented the GPT-4o model with a Retrieval-Augmented Generation (RAG) architecture to ensure the AI had access to the most relevant and accurate historical data.
- Search and Prompting: Developed a logical assistant to search the indexed data for pertinent information, feeding it into the Generative AI model to craft highly accurate and contextually relevant outputs.
A Formula for Success
The approach boiled down to three key steps:
- Organize the Data: Classify, extract, transform, and index data to create a robust foundation for AI operations.
- Retrieve with Precision: Implement logical flows and assistive tools to search the indexed data efficiently.
- Enhance AI Performance: Provide the AI model with the best supporting data and an optimized prompt for generating actionable outputs.
Ready to Explore AI for Your Business?
If you’re considering AI to address a specific challenge or streamline a process, here are some questions to help frame your thinking:
- Can you outline the process into phases? Specifically, how many hours does each phase take, and how many people are involved in each phase?
- What is the total cost associated with the entire process?
- To identify the most valuable areas, could you describe the activities performed in each phase of the process?
- Is there an opportunity cost involved in this process? For instance, are some opportunities left unattended to prioritize others?
Answering these questions can help pinpoint areas where AI can deliver the most value, reducing costs, enhancing efficiency, and improving decision-making. Our team is ready to help you identify these opportunities and implement AI solutions tailored to your business needs. If you’re interested, let’s start the conversation today. Please feel free to reach out at contact@serverless-solutions.com or through our website.
