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.

Automation and Decision Support

AI that helps make or automate decisions, often using rules, predictions, or pattern recognition.

What is “Automation and Decision Support”?

This category includes AI systems that analyze structured data, recognize patterns, and support or automate decision-making processes. These systems are often built around predictions, classifications, or recommendations and are used to improve operational efficiency, mitigate risks, or optimize outcomes.

Automation and Decision Support
Subcategory	Description	Examples
Predictive analytics	Using data to forecast trends or risks	Fish stock modeling, equipment failure prediction
Prescriptive analytics	Recommending actions	Conservation policy optimization, vessel routing
Robotic Process Automation (RPA) + AI	Automating rule-based digital tasks with AI augmentation	Document classification, triaging emails
Optimization	Finding the best outcome under constraints	Resource allocation, scheduling patrols

Key indicator: If the AI’s goal is to make or inform a decision, suggest a course of action, or automate a rule-based task — it likely fits here.
Focus: Pattern recognition, statistical modeling, optimization, or rule-based logic, often on structured data (spreadsheets, telemetry, logs).

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54 current initiative(s)

AI initiative registry
ID	AI Initiative	Stage	Description	Sector	Region	AI Bucket	SME
184	Email searches in response to requests	Ideation	Leverage M365 Copilot functionalities to leverage AI to perform email searches in response to certain requests, including those related to A...	Programs Sector	National Capital Region	Automation and Decision Support Robotic Process Automation with AI	Fernandes, Ashley
178	Records of decision for governance committees supporting the CDO	Ideation	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 Generative AI (text, images, code)	Kiefl, Richard
208	Fishing Detection	Pilot	The goal is to use vessel movement behaviour in the form of AIS data to predict whether a vessel is currently engaged in fishing activity. A...	Strategic Policy	National Capital Region	Automation and Decision Support Predictive Analytics	Croft, Lee
248	Analyse des tracés AIS en mer Not translated · original: French	Pilot	Analyse des tracés AIS en utilisant l'IA: un IA a été créé pour analyser les tracés de bateau et déterminer si des activités de pêche ont li...	Conservation and Protection	Quebec	Automation and Decision Support Predictive Analytics	Beauchamp, Sébastien
211	Analyse des sentiments Not translated · original: French	Pilot	C’est un modèle pour traiter automatiquement des textes et documents audios pour classifier les sentiments qui en ressortent sur le sujet....	Strategic Policy	Quebec	Automation and Decision Support Language Understanding (NLP)	Brunelle, Charles
69	Species distribution modeling	Pilot	Species distribution models for various coral/sponge/groundfish Random Forests	Ecosystems and Oceans Science	Pacific	Automation and Decision Support Predictive Analytics	Rooper, Chris
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 Predictive Analytics	Croft, Lee
15	MyGCHR Phoenix analysis	Ideation	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 Predictive Analytics	Gardner, Leigh
10	AI Agent for EGCS	Ideation	AI Agent for EGCS to evaluate Gs&Cs applications from external applicants (not until 2026-27)	Chief Digital Officer	National Capital Region	Automation and Decision Support Robotic Process Automation with AI	Gardner, Leigh
8	SAP AI Agent	Ideation	SAP AI Agent to validate financial transaction coding with invoices	Chief Digital Officer	National Capital Region	Automation and Decision Support Robotic Process Automation with AI	Gardner, Leigh
4	Database Scripting Automation	Ideation	i would like to be able to review the scripts the DBAs run to ensure that we can automate and reduce the administrative workload. if possibl...	Chief Digital Officer	National Capital Region	Automation and Decision Support Robotic Process Automation with AI	Jeanveau, Denis
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 Robotic Process Automation with AI	Bartoli, Saul
13	PoC in Power Apps, Power Automate, and SharePoint	Ideation	PoC in Power Apps, Power Automate, and SharePoint (Mark Jarvis) to have an efficient helpdesk; AI to review questions and predict templates...	—	National Capital Region	Automation and Decision Support Robotic Process Automation with AI	Gardner, Leigh
17	Recruitment and staffing tools	Ideation	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 Robotic Process Automation with AI	Gardner, Leigh
56	Method Recommendation Engine	Ideation	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 Prescriptive Analytics	Quan, Eric
59	Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental margin	Pilot	We introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent envi...	Ecosystems and Oceans Science	Pacific	Automation and Decision Support Predictive Analytics	Holdsworth, Amber
61	CTD data QC using ML	Pilot	Working with CDOS office to streamline our CTD QC using ML cnn and others	Ecosystems and Oceans Science	Pacific	Automation and Decision Support Predictive Analytics	Guan, Lu
65	Comprehensive marine substrate classification applied to Canada’s Pacific shelf	Pilot	We built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives a...	Ecosystems and Oceans Science	Pacific	Automation and Decision Support Predictive Analytics	Haggarty, Dana
41	Cyber Security Operation	Production	Cyber Security Operation Centre has deployed AI/ML in MS Defender (Endpoint Detection and Response (EDR) system), MS Sentinel (Security Inci...	Chief Digital Officer	National Capital Region	Automation and Decision Support Predictive Analytics	Jensen, Michael
70	Data Validation Tool (See B6, B22)	Pilot	Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose...	Ecosystems and Oceans Science	Pacific	Automation and Decision Support Robotic Process Automation with AI	Bird, Tom
75	Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon	Ideation	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 Predictive Analytics	Thomson, Richard
83	Daily Use	Pilot	Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data...	Programs Sector	National Capital Region	Automation and Decision Support Generative AI (text, images, code)	Newman, Candace
98	Guidance on Optimal Timing for Environmental DNA (GOTeDNA)	Pilot	Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eD...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support Prescriptive Analytics	Winegardner, Amanda
99	Improved freshwater runoff modelling in Eastern Canada to drive ocean models	Pilot	Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. Thes...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support Predictive Analytics	Winegardner, Amanda
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

184
Email searches in response to requests
Leverage M365 Copilot functionalities to leverage AI to perform email searches in response to certain requests, including those related to ATI/P

Ideation Programs Sector Automation and Decision Support Robotic Process Automation with AI
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.

Ideation Strategic Policy Automation and Decision Support Generative AI (text, images, code)
208
Fishing Detection
The goal is to use vessel movement behaviour in the form of AIS data to predict whether a vessel is currently engaged in fishing activity. AIS data is available to the department in near real-time from AIS transponders equipped on vessels. An automated system that can indicate to fishery officers when and where vessels are likely engaged in fishing activities will support better monitoring of compliance with regulations such as conformance with conditions in fishing licenses and in marine protected areas. Due to limited capacity and lengthy processes to manually review and distill data sources, fishery officers cannot fully monitor all vessels under present circumstances. This AI-supported system would help to increase monitoring coverage for fishery officers. Spatial processing: The vast amounts of geographically-referenced AIS transmissions from vessels must be refined to spatiotemporal areas of interest prior to feature engineering for input to the machine learning model. Appropriate spatial processing can support achieving this in a timely manner, particularly when near real-time processing is of interest. However, given the availability of the AIS pipeline, this processing is more appropriate to be performed by the pipeline than within the analytics environment for this use case. The fishing detection system would use the AIS pipeline API and would received data which has already been refine to the relevant spatial extents.

Pilot Strategic Policy Automation and Decision Support Predictive Analytics
248
Analyse des tracés AIS en mer
Analyse des tracés AIS en utilisant l'IA: un IA a été créé pour analyser les tracés de bateau et déterminer si des activités de pêche ont lieu. Un pipeline pour les données AIS est en cours de création pour acheminer les données à l'AI. Les coordonnées des ZPM et zones de coraux éponges ont été fournies et si des activités dans ces zones sont détectées, l'info sera fournie à l'équipe de surveillance aérienne et maritime pour suivi

Pilot Conservation and Protection Automation and Decision Support Predictive Analytics
211
Analyse des sentiments
C’est un modèle pour traiter automatiquement des textes et documents audios pour classifier les sentiments qui en ressortent sur le sujet. Un premier test sera fait sur le sujet des nouveaux permis de pêche exploratoire du homard.

Pilot Strategic Policy Automation and Decision Support Language Understanding (NLP)
69
Species distribution modeling
Species distribution models for various coral/sponge/groundfish Random Forests

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

Ideation Chief Digital Officer Automation and Decision Support Predictive Analytics
10
AI Agent for EGCS
AI Agent for EGCS to evaluate Gs&Cs applications from external applicants (not until 2026-27)

Ideation Chief Digital Officer Automation and Decision Support Robotic Process Automation with AI
8
SAP AI Agent
SAP AI Agent to validate financial transaction coding with invoices

Ideation Chief Digital Officer Automation and Decision Support Robotic Process Automation with AI
4
Database Scripting Automation
i would like to be able to review the scripts the DBAs run to ensure that we can automate and reduce the administrative workload. if possible we would then be able to provide more opporutnities for the group to do more architecturing then Administrative updates. haven'T delved this through, but i think it would be high value.

Ideation Chief Digital Officer Automation and Decision Support Robotic Process Automation with AI
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 Robotic Process Automation with AI
13
PoC in Power Apps, Power Automate, and SharePoint
PoC in Power Apps, Power Automate, and SharePoint (Mark Jarvis) to have an efficient helpdesk; AI to review questions and predict templates and carry out actions (e.g., reset accounts, forward others to MyPay etc.)

Ideation Automation and Decision Support Robotic Process Automation with AI
17
Recruitment and staffing tools
Recruitment and staffing tools (Mark Jarvis) (existing agents created by Microsoft to be explored further)

Ideation Chief Digital Officer Automation and Decision Support Robotic Process Automation with AI
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

Ideation Programs Sector Automation and Decision Support Prescriptive Analytics
59
Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental margin
We introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent environmental conditions (temperature, oxygen, acidity), and define the extremes based on the historical statistics of variability of each of these fields. unsupervised clustering with k-means

Pilot Ecosystems and Oceans Science Automation and Decision Support Predictive Analytics
61
CTD data QC using ML
Working with CDOS office to streamline our CTD QC using ML cnn and others

Pilot Ecosystems and Oceans Science Automation and Decision Support Predictive Analytics
65
Comprehensive marine substrate classification applied to Canada’s Pacific shelf
We built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives and oceanographic predictors using Random Forests. Random Forests

Pilot Ecosystems and Oceans Science Automation and Decision Support Predictive Analytics
41
Cyber Security Operation
Cyber Security Operation Centre has deployed AI/ML in MS Defender (Endpoint Detection and Response (EDR) system), MS Sentinel (Security Incident and Event Management (SIEM) system), Data Lost Prevention (DLP), and Exchange Online Protection (EOP) for real-time threat detection.

Production Chief Digital Officer Automation and Decision Support Predictive Analytics
70
Data Validation Tool (See B6, B22)
Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose corrections and normalize data into a standardized format. (Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format) Llama 3.0 Large Language Model

Pilot Ecosystems and Oceans Science Automation and Decision Support Robotic Process Automation with AI
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

Ideation Ecosystems and Oceans Science Automation and Decision Support Predictive Analytics
83
Daily Use
Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data in workbenches.

Pilot Programs Sector Automation and Decision Support Generative AI (text, images, code)
98
Guidance on Optimal Timing for Environmental DNA (GOTeDNA)
Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eDNA. GOTeDNA, a centralized interactive online tool currently in development, will report/visualize trends in spatio-temporal eDNA distributions.

Pilot Ecosystems and Oceans Science Automation and Decision Support Prescriptive Analytics
99
Improved freshwater runoff modelling in Eastern Canada to drive ocean models
Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. These neural networks are applied as a downstream calibration step. Builds synergy between traditional calibration methods and modern AI techniques in hydrologic modeling.

Pilot Ecosystems and Oceans Science Automation and Decision Support Predictive Analytics
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