AI-Assisted Grant Evaluation at Scale
In one sentence
AI-assisted evaluation helps grant programs process high volumes of applications without sacrificing review quality.
Short answer
When programs receive hundreds of applications, fully manual review does not scale. AI-assisted evaluation provides first-pass filtering, automated summaries, and risk signals while preserving human judgment for final decisions.
Why this matters
Grant programs often face a tradeoff between speed and rigor. Reviewer fatigue leads to inconsistent evaluations, missed red flags, and delayed decisions.
AI assistance addresses this by handling repetitive analysis while keeping humans in control of judgment calls.
What AI-assisted evaluation enables
- Automated summaries of long applications
- Consistency checks across submissions
- Risk signal detection
- Reduced reviewer fatigue
- Faster turnaround without cutting corners
What it does not replace
AI does not replace human judgment. Final decisions, nuanced evaluation, and context-sensitive assessments remain with reviewers.
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Karma's role
Karma integrates AI-assisted evaluation into the grant workflow, helping programs scale review without losing accountability.