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
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
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	Jensen, Michael
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	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	Brunelle, Charles
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	Croft, Lee
194	Automated ELOG reporting	Pilot	Automatically generate daily insights and reports on use of ELOGs Solution being developed to generate real-time reporting of ELOG use and...	Indigenous Affairs, Aquaculture and Governance	Gulf	Automation and Decision Support	Dupuis, Marc
193	Autonomous Task Tracker	Pilot	Autonomously complete tasks for fishery officer with multi-agent AI. Solution being developed in region to assist C&P autonomous completion...	Indigenous Affairs, Aquaculture and Governance	Gulf	Automation and Decision Support	Dupuis, Marc
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
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
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	Winegardner, Amanda
152	Data Validation Tool	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	National Capital Region	Automation and Decision Support	Winegardner, Amanda
221	Automated Paper Chart Solution	Pilot	CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sour...	Ecosystems and Oceans Science	Ontario and Prairie	Automation and Decision Support	Klein, David
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
222	Automated assessment of Crowd Source Bathymetry	Pilot	The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of larg...	Ecosystems and Oceans Science	Ontario and Prairie	Automation and Decision Support	Klein, David
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
128	CICADA (cumulative effects spatial data tool) Phase 2: determining stressor effects and interactions to inform decision-making	Pilot	Geospatial and machine learning techniques will be applied to determine the overall effect, stress(or) interactions, and relative influences...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
127	Automated assessment of Crowd Source Bathymetry	Pilot	The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of larg...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
125	Automated Paper Chart Solution	Pilot	CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sour...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
121	Develop a deep-learning model to age capelin otoliths: application for stock assessment	Pilot	Investigate the utility of applying a deep-learning model developed by the DFO Gulf Region for aging fish otoliths; specifically, to determi...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
120	Characterizing areas of convergence in the Saint John Harbour	Pilot	This project is using a technique called self-organizing maps, which is an unsupervised machine learning algorithm, to identify patterns in...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
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	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	Winegardner, Amanda
116	BinderBot: A Smart Planning Binder	Pilot	Employs AI-driven extraction to identify and compile the most relevant data from technical documents for the planning binder. Streamlines t...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
113	Improving forecasting for high-priority ports	Pilot	Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI m...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	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

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
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
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
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
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
194
Automated ELOG reporting
Automatically generate daily insights and reports on use of ELOGs Solution being developed to generate real-time reporting of ELOG use and implementation.

Pilot Indigenous Affairs, Aquaculture and Governance Automation and Decision Support
193
Autonomous Task Tracker
Autonomously complete tasks for fishery officer with multi-agent AI. Solution being developed in region to assist C&P autonomous completion of administrative tasks.

Pilot Indigenous Affairs, Aquaculture and Governance 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
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
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
152
Data Validation Tool
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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
221
Automated Paper Chart Solution
CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sources. AI routines will improve speed and accuracy of solutions (machine learning) as software is refined to ensure product specifications are respected (as they are used for official navigation).

Pilot 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
222
Automated assessment of Crowd Source Bathymetry
The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.

Pilot Ecosystems and Oceans Science 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
128
CICADA (cumulative effects spatial data tool) Phase 2: determining stressor effects and interactions to inform decision-making
Geospatial and machine learning techniques will be applied to determine the overall effect, stress(or) interactions, and relative influences of different stresses(ors) on fish metrics such as species occupancy, population status or community status.

Pilot Ecosystems and Oceans Science Automation and Decision Support
127
Automated assessment of Crowd Source Bathymetry
The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.

Pilot Ecosystems and Oceans Science Automation and Decision Support
125
Automated Paper Chart Solution
CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sources. AI routines will improve speed and accuracy of solutions (machine learning) as software is refined to ensure product specifications are respected (as they are used for official navigation).

Pilot Ecosystems and Oceans Science Automation and Decision Support
121
Develop a deep-learning model to age capelin otoliths: application for stock assessment
Investigate the utility of applying a deep-learning model developed by the DFO Gulf Region for aging fish otoliths; specifically, to determine the age of capelin in the 2J3KL stock in Newfoundland for use in stock assessments. Otolith aging is currently done visually using a microscope, this proposed method would automate that process to save time and resources, while reducing human error and bias

Pilot Ecosystems and Oceans Science Automation and Decision Support
120
Characterizing areas of convergence in the Saint John Harbour
This project is using a technique called self-organizing maps, which is an unsupervised machine learning algorithm, to identify patterns in areas of convergence near the Saint John Harbour. The preliminary analysis suggests that these patterns are related to different environmental conditions such as river discharge and tidal phase. The work has been conducted in collaboration with scientists from the Maritimes Region and is currently on hold.

Pilot Ecosystems and Oceans Science Automation and Decision Support
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
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
116
BinderBot: A Smart Planning Binder
Employs AI-driven extraction to identify and compile the most relevant data from technical documents for the planning binder. Streamlines the planning binder process by automatically assembling targeted, information ready for executive review. Saves valuable administrative time and ensures that binder materials are both comprehensive and user-friendly.

Pilot Ecosystems and Oceans Science Automation and Decision Support
113
Improving forecasting for high-priority ports
Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI modelling methods.

Pilot Ecosystems and Oceans Science 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