Background
Grant writing is a critical, time-sensitive function in higher education institutions, requiring deep alignment with funder expectations, strategic use of institutional data, and efficiency in managing multiple applications simultaneously. Dallas College’s RFP outlines a robust vision for a 24/7, AI-supported solution that extracts, analyzes, and generates grant-related content securely and accessibly.
While HiEd Success has not yet fully developed this solution, we are uniquely positioned to design and build an intelligent, cloud-based AI tool for technical grant writing and management that meets or exceeds the specified requirements.
Proposed Objectives
- Streamline grant solicitation analysis, content generation, and formatting.
- Maintain private, searchable institutional content libraries.
- Extract insights and compliance requirements from funding opportunities.
- Support collaborative workflows across teams and departments.
- Ensure data privacy, accessibility, and system security.
Planned Features and Capabilities
Grant Intelligence Engine
- NLP-based extraction of RFA key requirements and evaluation criteria.
- Keyword optimization tailored to specific funders and agencies.
- Automated identification of key questions, eligibility terms, and deadlines.
Generative Writing Functions
- Reduce, expand, or rewrite content while maintaining original meaning.
- Summarize documents or generate initial drafts based on prompts.
- Incorporate case studies, statistics, and references with source details.
Private Knowledge Library
- Store institutional data, previous submissions, and reusable templates.
- Build an evolving content base for customized, context-aware suggestions.
- Ensure content remains secure and institution-only accessible.
Multi-format Generation & Storage
- Support for Word documents, tables, slide decks, and spreadsheets.
- Save multiple draft versions without local downloads.
Web & Cloud Integration
- Extract grant content from funder websites and open data sources.
- Cloud-hosted platform with automated backups and failover protection.
- Hosted in secure, U.S.-based data centers.
Collaboration & Training Tools
- User-friendly GUI with intuitive workflows.
- Role-based access controls and multi-user collaboration.
- Ongoing training for staff (general users, IT admins, super-users).
- Support for onboarding, product updates, and new feature training.
Reporting and Dashboards
- Usage analytics (by project, user, and department).
- Grant pipeline visibility (in progress, submitted, awarded).
- Customizable reports for system administrators and executives.
Security and Compliance
- FERPA, SOC2, and GDPR compliant.
- Controls for content visibility, retention, and external sharing.
- WCAG 2.0 AA compliant for accessibility.
- Integration capabilities with Dallas College’s Strategic Analytic Reporting Team.
Support & Maintenance Vision
- 24/7 support through email, chat, and dedicated phone line.
- Rapid response (≤2 hours) for critical system issues.
- Ongoing maintenance, patching, and feature enhancement.
- Dedicated sales/support contact.
Why HiEd Success?
- Domain Experience: Extensive background in AI, education technology, and higher ed operations.
- Secure-by-Design: Track record of solutions that meet stringent data governance and security protocols.
- Flexible Development: Agile, collaborative development approach with full transparency and customization.
- Institutional Partnership Model: Open to equity-sharing models for co-developed IP.
Target Audience
- Office of Sponsored Programs and Grants
- Institutional Research and Strategy
- Faculty and Staff Writers
- Executive leadership and development teams
Conclusion
HiEd Success is capable of architecting and delivering a sophisticated AI-driven solution for grant writing and management aligned with Dallas College’s vision. While the product is in its design phase, our understanding of institutional needs, AI capabilities, and compliance requirements positions us as the ideal partner to co-create a transformative grant development platform.