AI Automation
AI Integrations, OpenAI and Chatbots
We are AI developers specializing in building intelligent chatbots, automation systems, and custom AI integrations that help businesses streamline operations, improve customer engagement, and scale more efficiently. Our solutions combine cutting-edge language models with real-time data workflows, enabling everything from conversational support agents to backend process automations and memory. Whether it’s integrating AI into CRMs, building workflow bots, or deploying tailored GPT-powered assistants, we design systems that are practical, secure, and built to deliver real value.
Here’s a really basic example of what AI integration looks like, ask it anything! Honestly though, this is just the tip of the iceberg.
Case Study: AI Integrations for the wresa.org
Client Overview
To implement AI-driven tools that elevate WRESA’s digital offerings, automate support, and personalize educator experiences—allowing the organization to scale its impact while reducing manual work for staff.
Core Use-cases
PD Navigator Chatbot
A smart assistant that helps educators instantly:
- Find relevant workshops by subject, grade, or role (“Show me upcoming PD for middle school math”)
- Register for events directly through a conversational interface
- Get automated calendar invites and reminders
Resource Retrieval Bot
An AI bot trained on WRESA’s PDFs, blog posts, and resource library to answer:
- “Where can I find 3rd grade science pacing guides?”
- “What’s the best workshop for new principals?”
- “Do you have STEM integration materials?”
Grant & Funding Opportunity Finder
An automation tool that:
- Matches users to eligible grants or funding based on district size, need, or project type
- Summarizes application requirements and deadlines
- Sends email alerts when new opportunities arise
District Support Automation
- Ticket-routing bot that detects request type (IT help, scheduling, vendor services, etc.) and routes to the correct team
- Tracks support history per district or school
Workshop Summary Generator
- Auto-transcribe and summarize recordings of past sessions
- Share key takeaways with attendees (or those who missed it)
Workshop Summary Generator
- Auto-transcribe and summarize recordings of past sessions
- Share key takeaways with attendees (or those who missed it)
Driver’s Ed-Specific Enhancements
Student Registration Chatbot
- AI chatbot helps parents and students:
- Check upcoming Driver’s Ed session dates by location
- Determine eligibility and age requirements
- Start the sign-up process and receive automated confirmations
Knowledge Test Prep Assistant
- AI tool simulates quiz practice with real-time feedback using local DMV guidelines
- Can support multiple languages or reading levels
- Tracks student progress and flags areas needing attention
Automated Parent Communication
- Sends reminders for:
- Behind-the-wheel session times
- Permit/license deadlines
- Required forms or payment due dates
- Delivered via email or SMS, powered by automation tools like Twilio or Mailchimp
Instructor & Site Coordination
- Internal dashboard using AI automation to:
- Track instructor availability and match them to upcoming sessions
- Flag scheduling conflicts or low enrollment risks
- Generate class rosters and attendance summaries
Instructor & Site Coordination
- Internal dashboard using AI automation to:
- Track instructor availability and match them to upcoming sessions
- Flag scheduling conflicts or low enrollment risks
- Generate class rosters and attendance summaries
Tech Stack
- ChatGPT API (custom trained on WRESA content)
- Whisper AI for transcribing sessions
- Notion or Airtable as a knowledge base or form handler
- Zapier/Make for Google Calendar + form + email automations
- Tally or Typeform for smarter registration forms
- Twilio or Mailchimp for Driver’s Ed SMS/email alerts
Benefits and Outcomes
- 24/7 intelligent front desk for educators, families, and school staff
- Reduces staff question volume by 40–60%
- Increases workshop and Driver’s Ed session sign-ups through guided workflows
- Minimizes missed communications or paperwork delays for Driver’s Ed
- Empowers WRESA to serve more districts without adding admin overhead
Case Study: Cornell AI Nutrition Dashboard
Client Overview
We conceptualized and prototyped an AI-powered dashboard and chatbot interface to manage and present nutritional survey data from 11 countries in various languages and formats. These reports come primarily as PDFs, each with different tabular layouts and units.
The Challenge
Currently, researchers manually extract data, convert it into SI units, and attempt to compare it across reports. This is inefficient, error-prone, and difficult to scale, especially when data is in multiple languages and non-standard formats.
Our Solution
- Use OpenAI to extract tabular data from multilingual PDFs
- Normalize the data into a unified schema with SI units
- Create a researcher-facing dashboard to explore and visualize standardized nutrition data
- Build an AI chatbot interface that enables researchers to ask questions in natural language about the data
Results
- Custom reports delivered, fully automated
- 100% reduction in manual report generation tasks for staff
- Real-time data from the field to the dashboard
- Enhanced user trust and retention through consistent, personalized insights
Key Features
- PDF table parsing engine with multilingual parsing
- Unit harmonization engine to convert values into SI standards
- Searchable data dashboard with filters and export features
- AI chatbot (text-based initially) for direct access to insights from structured data
Target Audience
- Academic researchers (initial use case)
- Potential future expansion to university students, NGOs, and international agencies
Tech Stack
- Python (PDF extraction + data processing)
- OpenAI API for NLP and chatbot functionality
- Laravel frontend with charting and table components
- Planned voice interface for future expansion
Why it matters
This case shows how Basebuild can take fragmented, multilingual datasets and unify them into actionable intelligence. By combining several AI technologies and a thoughtful user interface, we reduce manual labor and open the door for scalable global research collaboration.
Case Study: AI-Powered Sponsor Finder
Client Overview
We conceptualized an AI-powered tool that identifies potential sponsors for WhichMat using the Instagram Graph API and AI-driven analytics. This tool is designed to help athletes, influencers, or platform creators discover and connect with sponsors that align with their niche.
The Challenge
Manually researching and contacting sponsors is time-consuming, inconsistent, and doesn’t scale. Many opportunities are missed because of a lack of structured data and outreach efficiency.
Our Solution
The AI tool includes:
- Instagram Graph API search for businesses, influencers, and brands in the BJJ/fitness space
- Filters based on industry, engagement, follower count, hashtags, and prior sponsorship activity
- NLP-based analysis of brand posts, comments, and past collaborations
- A Sponsorship Score to rank likely candidates
- GPT-powered personalized message generation for outreach
- Automated DM/email follow-ups and CRM-style tracking dashboard
Tech Stack
- Instagram Graph API (data access)
- OpenAI API (NLP + GPT)
- Python + Laravel backend (automation, dashboard)
- Custom scripts (workflow automation)
Potential Business Model
- Subscription-based access for athletes and influencers
- Tiered pricing for automated vs. custom outreach services
- Resell white-labeled versions of the tool to tournament brands or gyms
Why it matters
This concept showcases Basebuild’s ability to combine social platform data with AI to solve real business challenges. It demonstrates how automation and intelligent analysis can make sponsorship outreach more targeted, scalable, and efficient.
