SoKat has successfully built and deployed Intelligent Automation to federal grants management. In sifting through a massive amount of data using Machine learning, our team built a risk profile for over 750,000 prospective grant applicants, which aided us in being able to predict the probability of approval for each grant application.
Problem:
- $800B in Federal grants need to be invested by means of slow, manual processing of grant applications
- Siloed data
- Legacy systems
Our Solution:
- Intuitive search with automated intelligence
- Clear transparency of potential risks
- Easily and rapidly scalable
- Cost efficient build-out
Outcome/Lessons Learned:
- Saved an estimated $30M/annually in costs to the federal agency
- Reduced administrative process time of applications from days/weeks to mere seconds
- AI tool we built won GCN Government Innovation Awards 2018 and 2019
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