Administrators & Leadership
- Decision support
- Enrollment forecasting
- Budget optimization
- Strategic planning
- Performance dashboards
Higher Education
AI consulting for higher education
Academia + implementation
10+Yrs in academia
I sit on both sides of this
A professor who also builds the tech
I teach data science and AI at the university level, and I build AI systems as a consultant. So when a department brings me a problem, I'm not learning how higher ed works on your dime. I already live in it.
That matters more than it sounds. A lot of ed-tech fails because it was designed by people who've never graded 120 papers, sat on an accreditation committee, or written a grant. I have.
The result is usually less flashy and more useful: tools that fit how faculty actually work, and that respect the things universities can't trade away.
Who I work with
Wherever you sit on campus
Faculty & Instructors
- AI-enhanced teaching
- Grading assistance
- Personalized support
- Grant enhancement
- Workflow automation
Researchers & Labs
- Custom model development
- Grant-proposal enhancement
- Research data analysis
- Synthetic data generation
- Multi-modal analytics
Departments & Programs
- Accreditation automation
- Student-success prediction
- Outcome analytics
- Curriculum optimization
- Resource planning
Common problems
Things that eat your week, and what AI can do about them
Accreditation Burden
Faculty spend countless hours collecting and reporting data for AACSB, ABET, SACSCOC, and other bodies.
AI solution
Automated collection and reporting that extracts metrics from existing systems, generates documentation, and maintains continuous compliance with real-time dashboards.
Outcomes
- Substantially reduced reporting time
- Improved data accuracy and consistency
- Continuous monitoring vs. last-minute scrambles
Student Retention
Institutions struggle to identify at-risk students early enough for effective intervention.
AI solution
Predictive analytics that flag at-risk students from academic, behavioral, and engagement patterns, enabling proactive intervention earlier than traditional methods.
Outcomes
- Early identification of at-risk students
- Personalized intervention strategies
- Improved retention and graduation rates
Grading Workload
Faculty face overwhelming grading demands that limit time for meaningful student interaction.
AI solution
Intelligent grading assistance that provides initial assessments, feedback suggestions, and consistency checks while preserving faculty oversight and final decisions.
Outcomes
- Meaningful reduction in grading time
- More consistent, objective evaluation
- Faster feedback for students
Academic Advising
Limited advisor availability and inconsistent information create barriers to effective guidance.
AI solution
AI advising tools offering personalized course recommendations, degree-progress tracking, and scheduling assistance based on goals, requirements, and performance.
Outcomes
- 24/7 access to consistent information
- Personalized academic planning
- Reduced burden on advisors
Research Funding
Reviewers increasingly expect serious AI methods, and a proposal without them can look dated.
AI solution
Expert consultation on research design, custom model development, and AI methodologies that strengthen proposals, with knowledge of NSF, NIH, and other agencies.
Outcomes
- More competitive grant applications
- Custom models for research projects
- Enhanced methodological rigor
Teaching Enhancement
Keeping content current and engaging for diverse learners challenges time-strapped faculty.
AI solution
In-classroom AI consultation to create adaptive materials, personalized exercises, and intelligent teaching assistants that support diverse learning styles.
Outcomes
- More engaging, personalized learning
- Less time on supplementary materials
- Better accommodation of diverse needs
Enrollment Management
Institutions face pressure to optimize enrollment amid demographic shifts and changing preferences.
AI solution
Predictive enrollment models that forecast yield, identify high-potential prospects, and optimize recruitment, with scenario planning for strategy.
Outcomes
- Improved enrollment yield
- More efficient recruitment spend
- Better student–program matching
Budget Constraints
Institutions face financial pressure with limited resources and competing priorities.
AI solution
Resource-optimization analysis of spending patterns to identify efficiencies and recommend allocations based on priorities and outcomes data.
Outcomes
- Data-driven budget allocation
- Improved ROI on investments
- Long-term sustainability insight
Curriculum Assessment
Assessing curriculum relevance and alignment with industry needs requires extensive analysis.
AI solution
Curriculum analytics that assess program effectiveness, identify skills gaps vs. industry demand, and recommend updates based on outcomes and employment trends.
Outcomes
- More industry-aligned curriculum
- Improved employment outcomes
- Continuous program improvement
Services
Where I tend to help most
Five areas I'm asked about again and again on campus.
AI-powered accreditation automation
Transform accreditation from a periodic burden into a continuous, efficient system for AACSB, ABET, SACSCOC, and other bodies.
- Automated data collection from diverse academic systems
- Real-time tracking of metrics and standards
- Intelligent document generation for reports and evidence
- Gap analysis and compliance recommendations
- Faculty-qualification tracking and documentation
- Outcome-assessment automation
Research project & grant AI consultation
Enhance research capability and grant competitiveness with expert AI consultation and custom model development for academic projects and funding proposals.
- Grant-proposal AI methodology development
- Custom fine-tuned models for specific research
- Synthetic data generation for research projects
- Technical writing for AI methodology sections
- Preliminary results for proposals
- Implementation support for funded projects
Synthetic Research Data
Statistically valid datasets that preserve privacy for sensitive research.
Multi-modal Analysis
Combine text, image, and numerical data with custom models.
Literature Review AI
Identify relevant studies and synthesize findings faster.
AI-enhanced teaching & learning
Transform your classroom with personalized AI consultation and implementation designed for university faculty in the New River Valley.
- In-classroom AI integration and workflow development
- Custom AI teaching assistants for student support
- Automated content generation for lectures and assignments
- Intelligent assessment and feedback systems
- AI-literacy curriculum development
- Engagement analytics and intervention tools
Academic Integrity
Maintaining standards while enhancing learning.
Student Privacy
Rigorous data protection and consent.
Inclusivity
AI that serves all students equitably.
Faculty Autonomy
Enhancing rather than replacing judgment.
AI-powered academic administration
Streamline administrative processes and enhance decision-making with AI designed for higher-education management and operations.
- Intelligent advising and course-planning systems
- Administrative workflow automation
- Predictive resource-allocation models
- Automated document processing and management
- Student-success prediction and intervention
- Policy-compliance monitoring and alerts
AI-enhanced enrollment management
Optimize recruitment, admissions, and yield with data-driven solutions for an increasingly competitive landscape.
- Predictive enrollment modeling and forecasting
- Prospect qualification and prioritization
- Personalized communication optimization
- Yield prediction and enhancement strategies
- Scholarship and financial-aid optimization
- Market-demand analysis for program planning
How it works
How a campus project usually runs
Built around faculty governance and the academic calendar, not against them.
01
Academic Context Assessment
Understand your institution's structure, culture, systems, and challenges through stakeholder interviews, a systems and data inventory, and a readiness evaluation that respects academic values.
02
Collaborative Solution Design
Co-create solutions with faculty, administrators, and IT that integrate with academic workflows, using design-thinking workshops, architecture, and stakeholder validation.
03
Prototype & Validation
Develop and test prototypes with real users in your environment, refining based on feedback before full rollout.
04
Implementation & Training
Roll out with careful change management and role-based training so faculty and staff can use the new capabilities effectively.
05
Continuous Improvement
Ongoing support, monitoring, and optimization. Regular reviews keep the solution valuable as your needs and AI evolve.
Research-grade
Discuss custom model development
Custom fine-tuned models for academic research
Our models go beyond off-the-shelf solutions to address the specific requirements of research projects across STEM, humanities, and the social sciences.
Domain-specific training
Models trained on field-specific data for relevance and accuracy in your domain.
Unique methodology development
Hybrid methods that integrate AI with traditional approaches to strengthen proposals.
Grant-application enhancement
Technical expertise to strengthen the AI/ML components of NSF, NIH, and other proposals.
Natural Sciences
- Molecular property prediction
- Experimental data analysis
- Scientific image processing
- Simulation optimization
Social Sciences
- Sentiment & discourse analysis
- Behavioral pattern recognition
- Survey-data processing
- Social-network modeling
Humanities
- Textual analysis & interpretation
- Historical document processing
- Cultural pattern identification
- Multimodal arts analysis
Why it matters
Learn more about Dr. Bradberry
Why the “professor who builds it” part counts
As both an active professor in information systems and an AI consultant, Dr. Bradberry brings a perspective few consultants can offer: solutions that understand and respect the academic environment.
Academic insight
First-hand understanding of faculty workflows, research needs, and academic governance.
Implementation expertise
Bringing AI from concept to production in complex institutional environments.
Research experience
Direct experience with grant writing, research design, and scholarly publication.
Accreditation knowledge
First-hand experience with AACSB, ABET, and regional accreditation from the academic side.
CBProfessor & consultant
Principles
Where I draw the lines
AI in a classroom touches student privacy, fairness, and academic integrity. These aren't afterthoughts in my work; they shape what I'm willing to build.
Human-Centered AI
- Augment, not replace, judgment
- Preserve faculty autonomy
- Enhance capabilities and relationships
- Maintain human oversight
Fairness & Inclusion
- Equitable benefits across populations
- Mitigate algorithmic bias
- Design for accessibility
- Avoid reinforcing inequity
Privacy & Security
- Rigorous data protection
- Transparent data policies
- FERPA compliance
- Minimal collection & retention
Academic Integrity
- Support authentic learning
- Maintain rigorous standards
- Promote responsible AI literacy
- Preserve scholarly integrity
Transparency
- Clear documentation of AI systems
- Explainable methods where possible
- Honest about limitations
- Institutional oversight
Adaptability
- Ongoing evaluation
- Responsive to new ethics concerns
- Flexible to institutional values
- Regular review of impacts
Questions
Higher-education AI FAQ
- Methodological innovation that sets your proposal apart, valuable for NSF proposals emphasizing innovative methods.
- Enhanced data analysis surfacing patterns standard methods may miss.
- Interdisciplinary appeal for convergence-style funding.
- Scalability showing potential for broader impact.
- Preliminary results demonstrating feasibility and proof-of-concept.
Our consultation includes reviewing your design, recommending methodologies, developing proof-of-concept models, crafting technical narratives, and budgeting AI components.
- Domain-specific training on your discipline's data and terminology.
- Tailored architecture optimized for your research questions.
- Research-oriented metrics aligned to scholarly goals.
- Interpretability focus for scientific rigor.
- Data efficiency for smaller academic datasets.
- Integration support for your research infrastructure.
It's a comprehensive service tailored to faculty: an initial assessment of your teaching and challenges; a custom solution design for your content and discipline; implementation support integrated with your LMS; faculty training including academic-integrity best practices; and ongoing optimization through the semester. Common applications include AI teaching assistants, assignment generation, rubric-based grading, personalized learning paths, and engagement monitoring.
It varies by scope and scale. Typical engagement models:
- Research grant consultation: from $2,500–$5,000
- Custom model development: $8,000–$30,000
- Classroom AI integration: $5,000–$15,000 per course
- Department-level solutions: from $15,000–$40,000
- Institution-wide systems: $40,000–$100,000+
Many implementations can be partially or fully grant-funded, and we can assist with proposal development for educational-technology projects.
Privacy and FERPA compliance are paramount: FERPA-compliant architecture designed from the ground up; role-based access control with audit logs; data-protection measures including end-to-end encryption; policy integration with your governance frameworks; and student-rights management for access and consent. We work closely with your IT security and privacy officers throughout.
Integrated components work together: a data-integration hub connecting LMS, SIS, and assessment platforms; a standards-mapping engine that maps data to AACSB/ABET/SACSCOC standards and flags gaps; documentation generation formatted to accreditor requirements; real-time dashboards for continuous monitoring; and faculty-qualification tracking. The result is a continuous, manageable process rather than a periodic crisis.
Several roles: predictive enrollment analytics forecasting yield and identifying prospects; early-warning systems flagging at-risk students; personalized student support with 24/7 AI advising for routine questions; and strategic planning using market and demographic trends. Together they enable proactive, data-driven, personalized support at scale.
Get in touch
Have a problem on campus?
Whether it's accreditation paperwork, a research method, or a class that's grown too big to grade, tell me about it and I'll give you an honest read.