Title:
AI Adoption for Workflow Automation
Agreement Number:
1026055
Agreement Value:
$75,000.00
Agreement Date:
Dec 1, 2024 - Mar 31, 2025
Description:
This project explores the use of AI to automate workflows by experimenting with advanced algorithms to identify, analyze, and document experimental uncertainties and investigations for R&D-intensive projects.
Through iterative testing and refinement, the project aims to develop a prototype solution that demonstrates the potential of AI-driven approaches in transforming claim preparation processes.
Organization:
National Research Council Canada
Expected Results:
The NRC Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs
Location:
Richmond Hill, Ontario, CA L4S 2E1
Reference Number:
172-2024-2025-Q3-1026055
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
816581680
Recipient Type:
For-profit organization
Recipient's Legal Name:
Kingsway Innovations Inc.
Federal Riding Name:
Richmond Hill
Federal Riding Number:
35087
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically