Vandalizer Workflows

About Vandalizer

Vandalizer is an AI tool designed for grant administration professionals in universities. Upload documents like NOAs (Notice of Awards) and RFAs (Request for Applications), then run automated workflows to extract and organize critical information into actionable outputs.

Each workflow below represents a specialized extraction and processing pipeline designed to streamline grant administration tasks.

1. RFA Checklist Builder

Automatically extracts and consolidates Request for Applications into standardized, actionable checklists. Processes dates, eligibility requirements, award information, and submission details.

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2. FOA Checklist Maker

Deep extraction workflow for large, complex Funding Opportunity Announcements. Pulls evaluation criteria, review processes, agency priorities, submission requirements, and formatting rules into a single reference document.

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3. Award Compliance Analysis

Transforms Federal Award Notices and Agreements into actionable compliance frameworks. Extracts administrative requirements, financial obligations, and reporting requirements for post-award teams.

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4. Effort Reporting & Compliance

Targeted extraction for personnel effort commitments and time-and-effort compliance requirements. Pulls together personnel listings, effort commitments, and federal effort reporting documentation requirements.

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5. FFR Management Analysis

Specialized workflow for Federal Financial Report (SF-425) requirements. Extracts submission schedules, cash management requirements, compliance deadlines, and generates automated preparation calendars.

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6. Prior Approval Requirements

Identifies all activities requiring written agency approval on federal awards. Extracts budget changes, equipment purchases, PI changes, and foreign travel requirements into a trackable reference document.

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7. Subaward Extraction

Comprehensive extraction for subaward agreements and FDP subawards. Pulls award information, contact details, financial terms, reporting requirements, and compliance obligations from complex multi-attachment packages.

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