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.
| 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).
Filter 1
54 current initiative(s)
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248
Analyse des tracés AIS en merAnalyse 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
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246
GeoAIOverview: Potential GeoAI‑Impacted Programs and Processes GeoAI (the integration of geospatial data, AI, and machine learning) is being explored to enhance decision‑making, efficiency, and service delivery by automating spatial analysis, identifying patterns at scale, and enabling predictive insights. 1. Program and Service Delivery GeoAI can support more targeted, timely, and evidence‑based services by: Identifying spatial patterns in environmental, socio‑economic, or ecological data Prioritizing areas for intervention, monitoring, or investment Improving accessibility and equity of services through location‑based insights Examples Risk‑based prioritization of inspections, monitoring sites, or enforcement activities Predictive habitat or species distribution mapping to support conservation or fisheries management Enhanced situational awareness for emergency response or environmental incidents 2. Operational Efficiency GeoAI enables automation and scalability in routine or data‑intensive operations, reducing manual effort and turnaround times. Examples Automated feature extraction from satellite imagery, aerial photos, or LiDAR (e.g., shoreline change, infrastructure, habitat types) Near‑real‑time monitoring of environmental conditions or operational assets Change detection to flag anomalies or emerging risks Operational Benefits Reduced reliance on manual digitization and visual interpretation Faster updates to spatial products and dashboards More consistent and repeatable analytical outputs 3. Business Processes and Decision Support GeoAI can modernize internal business processes by embedding spatial intelligence into planning, reporting, and governance workflows. Examples Predictive analytics to support long‑term planning and scenario analysis Decision‑support tools that integrate geospatial, operational, and administrative data AI‑assisted data quality assessment and metadata generation Process Impacts Improved transparency and defensibility of decisions Better integration of spatial data across programs and systems Enhanced performance measurement and outcome tracking 4. Cross‑Cutting Opportunities Across all domains, GeoAI supports: Data integration: Linking spatial, temporal, and non‑spatial datasets Scalability: Applying consistent analysis across large geographic areas Innovation: Enabling new analytical questions that were previously impractical
Ideation Chief Digital Officer Automation and Decision Support
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222
Automated assessment of Crowd Source BathymetryThe 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
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221
Automated Paper Chart SolutionCHS 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
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211
Analyse des sentimentsC’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
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208
Fishing DetectionThe 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
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201
Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) samplerThis 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.
Ideation Automation and Decision Support
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194
Automated ELOG reportingAutomatically 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
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193
Autonomous Task TrackerAutonomously 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
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186
Paper Buyer SlipsAutomatically 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
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184
Email searches in response to requestsLeverage 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
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178
Records of decision for governance committees supporting the CDORecords 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
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177
Resume Bank AnalysisResume 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
Ideation Strategic Policy Automation and Decision Support
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176
Analysis of rolesAnalysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.
Ideation Strategic Policy Automation and Decision Support
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175
AI model for duplcate or dubious licence accountsLicencing systems hold 10 times the amount accounts compared to licences issued. Many duplicate and dubious accounts across the millions of accounts. An AI model to discover duplicate/dubious accounts to highlight them for human review and action.
Ideation Programs Sector Automation and Decision Support
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173
AI model for the traceability of harvested fishAn AI model that analysis incoming data requirements ( log books, fish slips, Other traceability documents required by existing and potentially new regulations connected to public reporting apps )
Ideation Programs Sector Automation and Decision Support
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172
AI model for Condtions of Licences reviewPac has 130 COls. These have been individually edited over the past decades. An AI model to search and identify difference in wording for similar Conditions
Ideation Programs Sector Automation and Decision Support
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164
Development of an abundance index for an under surveyed capelin stockRecherche qui vise à utiliser des méthodes d’apprentissage automatique (machine learning) dans le but de classifier les signaux acoustiques du capelan dans le Golfe du St-Laurent.
Ideation Ecosystems and Oceans Science Automation and Decision Support
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152
Data Validation ToolUse 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
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137
Method Recommendation EngineA 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
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135
PII & Sensitivity ScoresDetermines 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
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133
LLM Document Extraction - Prompt Engineering to Retrieve Relevant InformationUsing 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
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128
CICADA (cumulative effects spatial data tool) Phase 2: determining stressor effects and interactions to inform decision-makingGeospatial 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
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127
Automated assessment of Crowd Source BathymetryThe 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
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125
Automated Paper Chart SolutionCHS 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