AI Enhanced Grant Application Review and Scoring Workflow

Grant Application Review and Scoring

1. Application Submission

1.1. Online Portal Access

Applicants submit their proposals through a designated online portal.

1.2. Initial Verification

Use AI-driven tools like DocuSign Insight to automatically verify the completeness of submissions.

2. Preliminary Screening

2.1. Automated Eligibility Check

Implement AI algorithms to assess applications against eligibility criteria, using tools such as IBM Watson to analyze text and extract relevant information.

2.2. Scoring Criteria Setup

Define scoring metrics based on predetermined criteria, ensuring alignment with funding objectives.

3. Detailed Review Process

3.1. AI-Assisted Document Analysis

Utilize AI-powered solutions like Google Cloud Natural Language for in-depth analysis of application content, focusing on key performance indicators.

3.2. Reviewer Assignment

Assign applications to reviewers based on expertise, leveraging AI tools for optimal matching, such as Workday.

4. Scoring and Feedback

4.1. Scoring Mechanism

Employ AI-driven scoring systems that aggregate reviewer input and provide weighted scores based on established criteria.

4.2. Feedback Compilation

Use AI tools to summarize reviewer comments and generate comprehensive feedback reports for each application.

5. Final Decision Making

5.1. Data-Driven Insights

Leverage AI analytics tools like Tableau to visualize scoring trends and insights for decision-making.

5.2. Approval or Rejection Notification

Automate the notification process using AI communication platforms, ensuring timely updates to applicants.

6. Post-Review Evaluation

6.1. Outcome Analysis

Conduct a post-review analysis using AI tools to assess the effectiveness of the review process and identify areas for improvement.

6.2. Continuous Improvement

Implement feedback loops that utilize AI to refine scoring algorithms and enhance future grant review processes.