Artificial Intelligence
At Resource Data, we help organizations move beyond the Artificial Intelligence (AI) hype to build responsible, scalable, and secure solutions that truly transform how work gets done. From AI strategy to integration, we make AI work for your business.
Expertise
Unlock game-changing insights and productivity.
Artificial Intelligence (AI) isn’t just a tool or over-hyped fad—it’s a new way of working. With custom-built AI systems that drive efficiency and enhance decision-making, you can unlock new possibilities. Resource Data’s AI experts combine practical business insight with cutting-edge AI technologies to deliver measurable impact. Whether it’s automating manual processes, making sense of unstructured data, or integrating AI into your existing tools and platforms, our AI solutions are secure, responsible, and aligned with your goals.
AI Strategy
Embracing AI within organizations is a multifaceted problem. We help you identify where AI can bring the most value and build a tailored AI strategy to accelerate your business. From identifying opportunities for automation to conceptualizing custom AI tools, our AI plans balance innovation with governance—ensuring your AI efforts are secure, ethical, and aligned with organizational priorities.
RAG Chatbots
Give your data a voice. Retrieval-Augmented Generation (RAG) chatbots combine powerful Large Language Models (LLMs) with your own data to generate customized, intelligent text responses. A RAG Chatbot can consume your business data in numerous formats, suffusing its knowledge base with your unique content, voice, brand, and value—without the need for expensive training. Ideal for customer service, internal knowledge bases and resources, research tools, and more.
Document AI Search
Some of the most time-consuming processes in modern operations still rely on parsing freeform data from emails, PDFs, and spreadsheets. That’s where AI can shine. Turn static documents into dynamic, searchable assets. Document AI Search uses advanced natural language processing (NLP) to parse, index, and retrieve relevant content from unstructured documents such as PDFs, Word files, and scanned images. Resource Data’s Document AI solutions extract meaningful insights from complex contracts, technical manuals, historical records, lengthy forms, and more, surfacing the right information when you need it.
Computer Vision
AI that sees the world. Resource Data develops machine learning models to detect objects, classify images, verify signatures, or track visual anomalies in videos. From automated quality control to remote visual inspections, to environmental monitoring, computer vision AI models reveal information from visual data across industries—minimizing human error, enhancing safety in the field, and accelerating issue detection.
AI Platform Integration
Go beyond multiple, overlapping, subscription AI services. Connect enterprise AI functionality seamlessly throughout your digital environment. We integrate your existing cloud-native data and systems with world-class platforms such as Azure AI Studio or AWS AI and ML Services. Depending on your infrastructure, industry, and AI maturity, we help you select and implement the right AI for your needs, making sure it’s scalable, secure, and optimized.
Our Clients
Hundreds of clients. Thousands of data projects.
“With every sprint, we are doing something that is changing the industry in education. We want to blaze the trail for what’s coming up and what’s new and possible in education, and we couldn’t really do that without Resource Data.”
~ Gretchen Clarkson, Business Analyst, Epic Charter Schools
Public housing finance corporation
Boosting efficiency with an AI-powered data migration
A public corporation that helps provide community members with access to affordable housing wanted to scale up its operations, but its existing database infrastructure became a barrier to growth. Relying on Microsoft SQL Server required costly licensing and lacked the flexibility to meet their expanding needs. They were looking for a secure, cost-effective solution to migrate their databases to an open-source platform without risking sensitive data.
Resource Data implemented an innovative migration strategy using Meta’s open-source Llama 3.1 AI model, configured for local processing. This involved translating SQL Server code into PostgreSQL, enabling the client to migrate databases while avoiding expensive licensing fees and mitigating security risks associated with cloud-based AI tools. Llama AI streamlined the process, reducing manual workload and achieving in days what typically took months.
After migrating a few critical databases, the client initiated plans to use this secure, scalable solution for additional migration projects. This work also spurred interest in other AI applications to improve their organizational efficiency.
Allpoints Surveying
AI-Driven Automation Simplifies Order Processing
As Allpoints Surveying expanded into new markets, processing customer orders from emails, PDFs, and spreadsheets became a challenge. The industry’s inconsistent terminology, Allpoints’ multi-region operations, and errors in customer emails made manual categorization by coordinators time-consuming and error prone. AllPoints needed an adaptive solution to handle these complexities.
Resource Data implemented an AI solution powered by OpenAI’s GPT-4 for a proof of concept (POC). The AI parsed sample emails, extracting key details like builder names, lot addresses, and task requests. Advanced data-validation techniques matched this information to AllPoints’ MasterJob and Customer tables, producing structured outputs. The system also identified surveying task requests, linked them to a list of standardized task names, and assigned task IDs.
The POC achieved 94% accuracy in identifying builders and 68% accuracy in standardizing tasks. These results showed how AI could enhance efficiency and help AllPoints achieve future system integrations and operational improvements.
Epic Charter School
AI Powers Document Classification and Management
Epic Charter School, Oklahoma’s largest public virtual charter school, caters to about 30,000 students from pre-K to 12th grade. Resource Data developed an advanced AI solution for Epic to efficiently manage processing thousands of enrollment and transfer documents each year.
Our team used Azure cloud AI technologies, including GPT with Vision, to create a system that handles diverse document formats. It classifies and verifies documents and extracts essential information for updates to the student-information system.
Epic has benefited from reduced manual data entry, more efficient operations, better data reliability, cost savings, and an improved educational experience for families. We are also currently working on developing a centralized operational database for Epic with AWS Glue.
Major Food Processor
AI Product Recognition Leads to Market Insights
One of the world’s largest producers and processors of frozen potato products wanted to boost their marketing efforts. They needed a solution to identify strategic clients and competitive products, turning market data into potential sales opportunities.
Resource Data developed a .NET-based system that used an advanced web crawler to collect targeted images from websites. We leveraged AWS Rekognition, a cloud-based image analysis service, to process and categorize these images, identifying food types and storing the results in Amazon DynamoDB for integration with the client’s database for marketing use.
This AI-driven tool empowered the marketing team to analyze competitive products and identify sales opportunities efficiently, transforming market intelligence into strategic actions. By automating image recognition and analysis, the client gained deeper insights into their market landscape, enabling informed decision-making and driving business growth.
Electronic Component Manufacturer
RAG Chatbot Improves Customer Service
Our client, an electronic component manufacturer has a diverse product portfolio and an expanding customer base. Their sales and engineering staff were having trouble keeping up with customer requests. They wanted a solution to assess customer inquiries quickly to reduce turnaround time and improve customer and staff experiences.
Resource Data built a proof of concept of a retrieval-augmented generation (RAG) chatbot with Microsoft Azure technologies trained on the client’s specifications and data. It interprets customer questions, generates suggestions for how support staff could respond to customers, and offers annotated references for verification. Staff can also rate the chatbot’s response quality to continue to refine its output.
The chatbot has successfully answered product-specific questions and applies general electronics principles effectively. In cases that require more detail, it delivers the majority of the required content, reducing our clients’ staff response times to customers significantly.
Real-World Solutions
AI with purpose. Rooted in what we've already built.
At Resource Data, we don’t chase trends. We build solutions that work. Our clients across government, energy, education, and natural resource sectors already rely on us for robust data systems and tailored digital tools. Now, we’re helping them take the next step with AI. From automating paperwork to analyzing satellite imagery, AI extends the impact of what we’ve already delivered, making systems smarter, faster, and more adaptive. Below are examples of how AI is transforming industries we know well—and how we’re ready to help.
Government
Modernizing Public Services with Intelligent Automation
We work extensively with government agencies to digitize paper-heavy workflows, automate reporting, and modernize legacy systems, laying the groundwork for AI adoption. Now, AI is opening up new ways to enhance service delivery and reduce operational strain. Document AI can automatically extract data from applications, permits, and records, helping agencies process high volumes faster and with fewer errors. Retrieval-based chatbots trained on internal policies can serve both staff and constituents by providing accurate, immediate answers—reducing call volumes and wait times. With the right safeguards in place, AI is helping public agencies become more responsive, efficient, and data-driven.
Oil and Gas
Enhancing Safety and Monitoring with AI-Driven Insight
Resource Data supports oil and gas companies with everything from advanced analytics tools to geospatial modeling of arctic terrain. As AI becomes more accessible, these systems can be extended with computer vision and machine learning to enable real-time analysis of operational data. For example, AI models can analyze thermal imagery from pipeline inspections, predict maintenance needs based on sensor readings, or classify terrain changes to monitor climate impact. These technologies reduce reliance on hazardous fieldwork, improve operational reliability, and provide actionable insights at scale.
Fisheries
Advancing Sustainability and Compliance with Smarter Data Tools
Fisheries agencies and research groups already trust Resource Data for solutions supporting compliance and reporting, ecosystem tracking, and interagency collaboration. AI adds a powerful new layer to these efforts. Machine learning models can identify species or classify catch records using image recognition, helping automate manual processes and improve data accuracy. AI can also support predictive modeling for migration, spawning, or environmental trends, enabling faster conservation decisions. Our work provides a strong technical foundation to introduce these intelligent tools without disrupting existing regulatory or scientific workflows.
Utilities
Laying the Groundwork for Predictive and Personalized Intelligence
Our utility clients rely on us to build reliable, cloud-based data infrastructure and reporting tools. These systems lay the groundwork to support AI-enhanced capabilities like predictive maintenance, outage forecasting, and intelligent energy optimization. AI can also transform customer service—RAG-based virtual agents can provide real-time answers about billing, services, and technical issues, using the utility’s actual documentation and data. Combined with modern data governance and integration strategies, these AI tools improve responsiveness, reduce support loads, and drive smarter infrastructure management.
Natural Resources
Scaling Environmental Monitoring Through Remote AI
From forest health to glacial retreat, natural resource organizations need constant insight across massive, often inaccessible areas. We help natural resource managers visualize terrain changes, track environmental metrics, and centralize geospatial data—especially in remote and rugged areas. Now, AI is making it possible to detect anomalies or track land use patterns from satellite imagery in near real-time. Computer vision models can classify vegetation types, detect signs of erosion, or even flag wildfire risk zones. These tools allow agencies to scale their monitoring efforts while reducing the need for physical surveys, accelerating environmental planning, and protecting critical ecosystems with better data.
Education
Reducing Administrative Load and Improving Access to Information
Public schools, universities, and virtual learning platforms all face document-heavy workflows and rising expectations for fast, personalized support. AI is already proving useful here—from vision-based AI to automate form classification and RAG chatbots that answer policy and process questions for staff and families. As student and administrative needs grow, AI can enhance user experience and reduce backlogs—without compromising security or accuracy. These solutions improve turnaround times, improve the student experience, and ease the administrative burden for educators and families alike.
Rick Busch
Service Area Lead, Data Engineering
With a dynamic blend of technical and leadership experience honed over 20 years in IT, Rick has solidified himself as a seasoned project manager, data engineer, and architect. His comprehensive technical knowledge in software engineering, database development, and data warehousing underpins his ability to steer complex projects.
Rick is instrumental in guiding clients through the nuanced landscape of cloud-based data warehousing. He specializes in devising and executing strategies to transition traditional on-premises data warehouses to leading cloud platforms, including Snowflake, Microsoft Azure, and Amazon Web Services.
Talk to Rick Busch
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