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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198 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
11	Procurement Chatbot	Production	The purpose of the Procurement Chatbot is to provide timely, accurate, and consistent information to users regarding procurement practices a...	—	National Capital Region	Interaction and Engagement	Gardner, Leigh
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
228	SILScanner	Pilot	Deploy on DFO's PBMM Cloud a proof of concept application that uses optical character recognition (OCR) to digitize and validate Stream Insp...	Chief Digital Officer	National Capital Region	Perception and Understanding	Bird, Tom
229	DFO PB LLM Service	Pilot	Provide an approved DFO internal LLM as a service in a PBMM environment. After our team performed a year-long pilot project providing an unc...	Chief Digital Officer	National Capital Region	Cognitive and Generative AI	Korol, Oksana
227	Github Copilot	Pilot	GitHub Copilot is being piloted at DFO aimed at enhancing developer productivity and exploring the operational value of AI-assisted coding....	Chief Digital Officer	National Capital Region	Infrastructure and Enablement	Balbona, Joseph
226	DFO AI - Pipeline	Pilot	DFO Pipeline Analyzer is a private Azure DevOps extension designed to assist development teams in diagnosing and resolving pipeline failures...	Chief Digital Officer	National Capital Region	Infrastructure and Enablement	Mehdi, Ghizal
212	Surveillance électronique en mer Not translated · original: French	Pilot	Il s’agit de capture d’images vidéo sur les navires de pêche pour ensuite les faire analyser par des ressources humaines et un modèle d’inte...	Statistics, Policy and Licensing	Quebec	Perception and Understanding	Rémillard, Vincent
183	General - Office Management	Pilot	Draft and Refine Documents: Staff make use of Copilot to generate or refine briefing notes to make these clear and concise. Enhance Collabor...	Programs Sector	National Capital Region	Cognitive and Generative AI	Fernandes, Ashley
218	L’observation des bélugas de l’estuaire du Saint-Laurent Not translated · original: French	Pilot	Entente de contribution avec le Groupe de recherche et d'éducation sur les mammifères marins (GREMM) pour le développement d'un module de me...	Marine Planning and Conservation	Quebec	Perception and Understanding	Robert, Sonia
181	Pacific Aquacutlure Regulations (PAR) Gap Analysis	Pilot	Copilot is being leveraged to develop engagement tools for a regulatory consultation that are intuitive, builds on best practices and existi...	Programs Sector	National Capital Region	Cognitive and Generative AI	Andrade, Margaret
180	Pacific Aquaculture Regulations (PAR) Gap Analysis	Pilot	Copilot is being leveraged to analyze written submissions and meeting notes from the Transition Plan engagement process to identify key them...	Programs Sector	National Capital Region	Cognitive and Generative AI	Andrade, Margaret
217	Suite du projet de recherche de recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent. Not translated · original: French	Pilot	Une entente de contribution pour l’année 2025-2026 (Programme de gestion des océans) visant à l’amélioration de l’outil développé par le Cen...	Marine Planning and Conservation	Quebec	Perception and Understanding	Brossard, Jade
215	Projet pilote d’utilisation de M365 Copilot, pour le programme de Protection du poisson et de son habitat (PPPH / FFHPP) Not translated · original: French	Pilot	Utilisation de Microsoft 365 Copilot dans le cadre de la modernisation du PPPH Réflexions sur les possibilités d’optimiser les processus d...	Chief Digital Officer	Quebec	Cognitive and Generative AI	Roy, Vincent
213	Numérisation de documents manuscrits Not translated · original: French	Pilot	En collaboration avec l’équipe nationale de l’Intendant principal des données (PSSI), visant principalement la pêche au saumon. L’objectif e...	Statistics, Policy and Licensing	Quebec	Perception and Understanding	Rémillard, Vincent
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
188	Coastal Surveillance	Pilot	Automatically process thousands of drone images as part of continuous surveillance Solution being developed in region to assist C&P in batch...	Indigenous Affairs, Aquaculture and Governance	Gulf	Perception and Understanding	Dupuis, Marc
187	Atlantic Bluefin Tuna Monitoring	Pilot	Automatically perform video analytics from hundred of harvester tuna video Solution being developed in region to assist C&P in batch process...	Indigenous Affairs, Aquaculture and Governance	Gulf	Perception and Understanding	Dupuis, Marc
190	Lobster Stock Assessment	Pilot	Automatically assess lobster count and habitat from hours of video efficiently Solution being developed for Science to review hundreds of ho...	Indigenous Affairs, Aquaculture and Governance	Gulf	Perception and Understanding	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
185	Radia AI	Pilot	Exploring the capbilities of ISED/CRC's AI Innovation Hub's Radia AI and how it can be leveraged in our directorate's work.	Programs Sector	National Capital Region	Cognitive and Generative AI	De Vito, Marianne
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
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

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
11
Procurement Chatbot
The purpose of the Procurement Chatbot is to provide timely, accurate, and consistent information to users regarding procurement practices and procedures. This initiative aims to improve client experience, streamline communication, and reduce the manual workload currently required by Procurement staff responding to frequent and repetitive queries.

Production Interaction and Engagement
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
228
SILScanner
Deploy on DFO's PBMM Cloud a proof of concept application that uses optical character recognition (OCR) to digitize and validate Stream Inspection Logs (SILs). The PoC was originally developed on SSC's cloud infrastructure. It is now being deployed in DFO PB cloud infrastructure. BLADES initiative and IT security teams are involved.

Pilot Chief Digital Officer Perception and Understanding
229
DFO PB LLM Service
Provide an approved DFO internal LLM as a service in a PBMM environment. After our team performed a year-long pilot project providing an unclassified internal GenAI models for 14 teams to develop their custom chatbots, we have collected feedback and identified gaps in the availability of GenAI at DFO. One of the biggest gaps was the need for a secure model to be used with private or classified data. Our cloud platform is certified up to PBMM, so we are working to identify, deploy and approve an internal large language model (LLM), as well as make it available to DFO users through API. IT security team is involved in helping us secure and certify the model for use at DFO.

Pilot Chief Digital Officer Cognitive and Generative AI
227
Github Copilot
GitHub Copilot is being piloted at DFO aimed at enhancing developer productivity and exploring the operational value of AI-assisted coding. Stats: (90-day period) - 27,584 lines of code were accepted - 17,801 prompts were accepted - Potential savings of $144K ($50/hour developer) based on 40 developers

Pilot Chief Digital Officer Infrastructure and Enablement
226
DFO AI - Pipeline
DFO Pipeline Analyzer is a private Azure DevOps extension designed to assist development teams in diagnosing and resolving pipeline failures using AI. When a pipeline run fails, this task automatically triggers, extracts the provided error details, and queries a secure AI API to generate a human-readable explanation of the failure along with actionable troubleshooting steps. It will assist developers to make appropriate steps in right direction as they are getting suggestion with-in pipeline logs. Suggestion also provide corrected version of pipeline Key features: Runs only on pipeline failure (condition: failed()) Fully agent-agnostic: Works on self-hosted and Azure-hosted agents, across Windows, Linux, and macOS Provides clear error analysis and resolution guidance directly in pipeline logs Keeps your data secure by using your own OpenAI or other AI API key Fully private and scoped to your Azure DevOps organization We have working prototype of DFO-AI pipeline Analyzer by communicating with OpenAI securely. In next steps we are also exploring to integrate with our self-hosted AI Models (open-source via Ollama), currently in discussion

Pilot Chief Digital Officer Infrastructure and Enablement
212
Surveillance électronique en mer
Il s’agit de capture d’images vidéo sur les navires de pêche pour ensuite les faire analyser par des ressources humaines et un modèle d’intelligence artificielle doté de capacité d’identification d’événements, d’espèces, etc. Projet fait en collaboration avec l’équipe nationale de l’Intendant principal des données.

Pilot Statistics, Policy and Licensing Perception and Understanding
183
General - Office Management
Draft and Refine Documents: Staff make use of Copilot to generate or refine briefing notes to make these clear and concise. Enhance Collaboration and Workflow Efficiency: By offering suggestions for document formatting, language style, and clarifying content, Copilot helps maintain consistency and accuracy across communications and facilitates more effective interdepartmental collaboration. Meeting notes: After a meeting is recorded, Copilot can transcribe audio to produce a relatively accurate record of the discussion, using natural language processing to identify key points, decisions, and follow-up tasks, and organizing these into relatively concise summaries and action item lists. Conduct Research and Summarize Information: It can quickly extract key points from extensive reports, legislation, or guidelines—helping to synthesize complex information into actionable insights. Support Data Analysis and Reporting: Employees use Copilot to structure performance metrics, track progress against key indicators, and generate reports that inform decision-making. **These functionalities save time, improve comprehensiveness, and can help ensure that critical details are captured.**

Pilot Programs Sector Cognitive and Generative AI
218
L’observation des bélugas de l’estuaire du Saint-Laurent
Entente de contribution avec le Groupe de recherche et d'éducation sur les mammifères marins (GREMM) pour le développement d'un module de mesures morphométriques assistées par l’intelligence artificielle pour les bélugas de l'estuaire du Saint-Laurent L’entente s’est terminée le 31 mars 2024 mais le module est en cours d’utilisation. Considérant la contrainte de temps imposée par les mesures manuelles des images prises par drones de bélugas, l’équipe de recherche du GREMM a développé une méthode exploitant l’IA pour mesurer plus rapidement et plus efficacement les bélugas.

Pilot Marine Planning and Conservation Perception and Understanding
181
Pacific Aquacutlure Regulations (PAR) Gap Analysis
Copilot is being leveraged to develop engagement tools for a regulatory consultation that are intuitive, builds on best practices and existing requirements, and adopts a tone and approach that is adequate for the general public.

Pilot Programs Sector Cognitive and Generative AI
180
Pacific Aquaculture Regulations (PAR) Gap Analysis
Copilot is being leveraged to analyze written submissions and meeting notes from the Transition Plan engagement process to identify key themes, concerns, and suggestions. It helps summarise large aounts of input that help detect gaps in the feedback - such as missing perspectives, underrepresented topics, or unclear areas - enabling AD to plan more targeted and inclusive future engagement and consultations on the PAR amendments. Copilot also helps to dig into input in a more manageable way.

Pilot Programs Sector Cognitive and Generative AI
217
Suite du projet de recherche de recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent.
Une entente de contribution pour l’année 2025-2026 (Programme de gestion des océans) visant à l’amélioration de l’outil développé par le Centre de développement et de recherche en intelligence numérique (CDRIN) en 2024-2025. Le projet a comme objectif global de concevoir et développer un outil d’intelligence artificielle permettant de détecter et suivre les organismes benthiques filmés dans les refuges marins des coraux et des éponges du Golfe du Saint-Laurent.

Pilot Marine Planning and Conservation Perception and Understanding
215
Projet pilote d’utilisation de M365 Copilot, pour le programme de Protection du poisson et de son habitat (PPPH / FFHPP)
Utilisation de Microsoft 365 Copilot dans le cadre de la modernisation du PPPH Réflexions sur les possibilités d’optimiser les processus du programme en s’appuyant sur l’utilisation de M365 Copilot.

Pilot Chief Digital Officer Cognitive and Generative AI
213
Numérisation de documents manuscrits
En collaboration avec l’équipe nationale de l’Intendant principal des données (PSSI), visant principalement la pêche au saumon. L’objectif est de numériser des documents avec des données manuscrites et de les faire analyser par un modèle d’intelligence artificielle qui va décoder l’écriture pour la transformer en données numériques et les insérer dans une base de données. Le but est de remplacer la saisie manuelle de ces données.

Pilot Statistics, Policy and Licensing Perception and Understanding
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
188
Coastal Surveillance
Automatically process thousands of drone images as part of continuous surveillance Solution being developed in region to assist C&P in batch processing of drone surveillance images.

Pilot Indigenous Affairs, Aquaculture and Governance Perception and Understanding
187
Atlantic Bluefin Tuna Monitoring
Automatically perform video analytics from hundred of harvester tuna video Solution being developed in region to assist C&P in batch processing of at-sea video monitoring footage.

Pilot Indigenous Affairs, Aquaculture and Governance Perception and Understanding
190
Lobster Stock Assessment
Automatically assess lobster count and habitat from hours of video efficiently Solution being developed for Science to review hundreds of hours of video for lobster count and state of habitat.

Pilot Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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
185
Radia AI
Exploring the capbilities of ISED/CRC's AI Innovation Hub's Radia AI and how it can be leveraged in our directorate's work.

Pilot Programs Sector Cognitive and Generative AI
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
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