AI initiative registry

Every initiative listed in the registry can be consulted here, without an account. Each record shows its progress, its milestones and the history of its decisions. Requests still under triage do not appear: they join the registry once reviewed.

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63 initiative(s)

AI initiative registry
ID	AI Initiative	Current Status	Description	Sector	Region	AI Bucket	SME
27	Turn on AI Auto labeling on all M365 documents and communications channels	Idea	Our E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model tra...	Chief Digital Officer	Quebec	Automation and Decision Support	Bussieres, Martin
108	The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’	Pilot	This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
75	Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon	Idea	The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be de...	Ecosystems and Oceans Science	Pacific	Automation and Decision Support	Thomson, Richard
158	Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon	Pilot	The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be de...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
150	Species distribution modeling	Pilot	Species distribution models for various coral/sponge/groundfish.	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
69	Species distribution modeling	Pilot	Species distribution models for various coral/sponge/groundfish Random Forests	Ecosystems and Oceans Science	Pacific	Automation and Decision Support	Rooper, Chris
8	SAP AI Agent	Idea	SAP AI Agent to validate financial transaction coding with invoices	Chief Digital Officer	National Capital Region	Automation and Decision Support	Gardner, Leigh
177	Resume Bank Analysis	Idea	Resume bank analysis: summarizing candidates resumes in our digital skills bank to provide consistent summaries (remove biases) and potentia...	Strategic Policy	National Capital Region	Automation and Decision Support	Kiefl, Richard
17	Recruitment and staffing tools	Idea	Recruitment and staffing tools (Mark Jarvis) (existing agents created by Microsoft to be explored further)	Chief Digital Officer	National Capital Region	Automation and Decision Support	Gardner, Leigh
47	Recruitment and staffing tools	Idea	There are agents already created by vendors like Microsoft. We would love to explore them futher.	Human Resources and Corporate Services	National Capital Region	Automation and Decision Support	Gardner, Leigh
178	Records of decision for governance committees supporting the CDO	Idea	Records of Decision for Governance Committees Supporting the Chief Digital Office: Leveraging the transcript function in Microsoft Teams to...	Strategic Policy	National Capital Region	Automation and Decision Support	Kiefl, Richard
31	Quality control of oceanographic data - Maritimes Region	Pilot	The goal of the project is to assist in the processing and quality control of CTD (oceanographic) data by leveraging machine learning models...	Strategic Policy	National Capital Region	Automation and Decision Support	Croft, Lee
117	PolyDocs: Format and Translate for CSAS	Production	A modular, bilingually-optimized (EN/FR) application that automates the formatting, quality assurance, and standardization of complex Word d...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Carr, Kevin
135	PII & Sensitivity Scores	Pilot	Determines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in t...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
54	PII & Sensitivity Scores	On hold On hold	Determines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in t...	Programs Sector	Pacific	Automation and Decision Support	Quan, Eric
186	Paper Buyer Slips	Pilot	Automatically process 180K paper slips annually Solution being developed in region to assist Statistics team in batch-scanning and processin...	Indigenous Affairs, Aquaculture and Governance	Gulf	Automation and Decision Support	Dupuis, Marc
148	Nearshore biotopes model	Pilot	Model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
67	Nearshore biotopes model	Idea	model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not...	Ecosystems and Oceans Science	Pacific	Automation and Decision Support	Lessard, Joanne
15	MyGCHR Phoenix analysis	Idea	MYGCHR Phoenix analysis tool (Mark Jarvis) to flag incorrect records and recognize future incorrect entries to help cleanup pay files	Chief Digital Officer	National Capital Region	Automation and Decision Support	Gardner, Leigh
45	MyGCHR – Phoenix analysis tool	Idea	Pro B data would be needed, but feed MyGCHR and Phoenix records, but flag those that are incorrect in the hopes of training the AI to recogn...	Human Resources and Corporate Services	National Capital Region	Automation and Decision Support	Gardner, Leigh
137	Method Recommendation Engine	Pilot	A large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide th...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
56	Method Recommendation Engine	Idea	A large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide th...	Programs Sector	Pacific	Automation and Decision Support	Quan, Eric
201	Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) sampler	Idea	This Canadian apparatus provides detections of aquatic species through a standardized and reproducible method. Algorithms of AI analyze data...	—	National Capital Region	Automation and Decision Support	Winegardner, Amanda
133	LLM Document Extraction - Prompt Engineering to Retrieve Relevant Information	Pilot	Using LLM to extract key information from documents with multiple templates using prompt engineering approaches. These results are reviewed...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
3	Labels Pilot	Pilot	We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a...	Chief Digital Officer	National Capital Region	Automation and Decision Support	Bartoli, Saul

27
Turn on AI Auto labeling on all M365 documents and communications channels
Our E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model training would require attention of an Security/IM expert to make perfect. We may want to create specific AI specific labels to avoid conflicts with officials ones.

Idea Chief Digital Officer Automation and Decision Support
108
The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’
This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods for detecting economically important Oyster parasites, enhance understanding of Multinucleate Sphere Unknown X (MSX) virulence dynamics, and support the creation of new vaccine in investigating future outbreaks and modeling through machine learning.

Pilot Ecosystems and Oceans Science Automation and Decision Support
75
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon
The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions. classical machine learning models, including linear regression, Ridge regression, and Random Forest

Idea Ecosystems and Oceans Science Automation and Decision Support
158
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon
The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions.

Pilot Ecosystems and Oceans Science Automation and Decision Support
150
Species distribution modeling
Species distribution models for various coral/sponge/groundfish.

Pilot Ecosystems and Oceans Science Automation and Decision Support
69
Species distribution modeling
Species distribution models for various coral/sponge/groundfish Random Forests

Pilot Ecosystems and Oceans Science Automation and Decision Support
8
SAP AI Agent
SAP AI Agent to validate financial transaction coding with invoices

Idea Chief Digital Officer Automation and Decision Support
177
Resume Bank Analysis
Resume bank analysis: summarizing candidates resumes in our digital skills bank to provide consistent summaries (remove biases) and potentially providing side by side comparisons of candidate resumes or searching for skills

Idea Strategic Policy Automation and Decision Support
17
Recruitment and staffing tools
Recruitment and staffing tools (Mark Jarvis) (existing agents created by Microsoft to be explored further)

Idea Chief Digital Officer Automation and Decision Support
47
Recruitment and staffing tools
There are agents already created by vendors like Microsoft. We would love to explore them futher.

Idea Human Resources and Corporate Services Automation and Decision Support
178
Records of decision for governance committees supporting the CDO
Records of Decision for Governance Committees Supporting the Chief Digital Office: Leveraging the transcript function in Microsoft Teams to formalize records of decision and streamline follow-up on action items.

Idea Strategic Policy Automation and Decision Support
31
Quality control of oceanographic data - Maritimes Region
The goal of the project is to assist in the processing and quality control of CTD (oceanographic) data by leveraging machine learning models to predict quality flags for the CTD data products generated by Maritimes region, enabling faster data processing by reducing manual burden. Initial explorations have been conducted to investigate transferability of existing quality control models from Pacific region. Based on investigation results, new models will be trained specific to Maritimes region. Client: Maritimes Region - Ocean Data

Pilot Strategic Policy Automation and Decision Support
117
PolyDocs: Format and Translate for CSAS
A modular, bilingually-optimized (EN/FR) application that automates the formatting, quality assurance, and standardization of complex Word documents to meet Government of Canada publishing requirements. The tool orchestrates a highly configurable, low-code assembly line that handles deep document cleanup (resolving fragmented text, localizing punctuation/number conventions, and rebuilding tables of contents), applies localized terminology glossaries, and reduces file sizes for accessibility.

Production Ecosystems and Oceans Science Automation and Decision Support
135
PII & Sensitivity Scores
Determines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in the document.

Pilot Ecosystems and Oceans Science Automation and Decision Support
54
PII & Sensitivity Scores
Determines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in the document. Presidio

On hold On hold Programs Sector Automation and Decision Support
186
Paper Buyer Slips
Automatically process 180K paper slips annually Solution being developed in region to assist Statistics team in batch-scanning and processing paper slips.

Pilot Indigenous Affairs, Aquaculture and Governance Automation and Decision Support
148
Nearshore biotopes model
Model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not to the methods. The model use sdmTMB to predict species and then use k-means clustering method to find species assemblages. Large datasets can be used.

Pilot Ecosystems and Oceans Science Automation and Decision Support
67
Nearshore biotopes model
model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not to the methods. The model use sdmTMB to predict species and then use k-means clustering method to find species assemblages. Large datasets can be used. R scripts for sdmTMB, k-means cluster, figures

Idea Ecosystems and Oceans Science Automation and Decision Support
15
MyGCHR Phoenix analysis
MYGCHR Phoenix analysis tool (Mark Jarvis) to flag incorrect records and recognize future incorrect entries to help cleanup pay files

Idea Chief Digital Officer Automation and Decision Support
45
MyGCHR – Phoenix analysis tool
Pro B data would be needed, but feed MyGCHR and Phoenix records, but flag those that are incorrect in the hopes of training the AI to recognize future incorrect entries and to help clean up pay files for employees. P&C is in negotiation currently with PSPC to ‘own’ our backlog of Phoenix cases, so this could be a big help.

Idea Human Resources and Corporate Services Automation and Decision Support
137
Method Recommendation Engine
A large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work

Pilot Ecosystems and Oceans Science Automation and Decision Support
56
Method Recommendation Engine
A large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work

Idea Programs Sector Automation and Decision Support
201
Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) sampler
This Canadian apparatus provides detections of aquatic species through a standardized and reproducible method. Algorithms of AI analyze data from buoy-mounted sensors to determine optimal sampling windows, such as the presence of toxic phytoplankton bloom, and to perform quality assurance on sampling metadata.

Idea Automation and Decision Support
133
LLM Document Extraction - Prompt Engineering to Retrieve Relevant Information
Using LLM to extract key information from documents with multiple templates using prompt engineering approaches. These results are reviewed by SMEs to ensure accuracy and relevancy.

Pilot Ecosystems and Oceans Science Automation and Decision Support
3
Labels Pilot
We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a user's classification. if we could fund the "query" fund for the user community we could point the Free agent to consume DFO specific Information on Information Classification. as for the other option we will need to ensure we have items to feed the machine learning.

Pilot Chief Digital Officer Automation and Decision Support