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
246	GeoAI	Ideation	Overview: Potential GeoAI‑Impacted Programs and Processes GeoAI (the integration of geospatial data, AI, and machine learning) is being exp...	Chief Digital Officer	Not region specific	Automation and Decision Support	Merner, Erick
177	Resume Bank Analysis	Ideation	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
176	Analysis of roles	Ideation	Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.	Strategic Policy	National Capital Region	Automation and Decision Support	Kiefl, Richard
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	Kiefl, Richard
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	Fernandes, Ashley
201	Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) sampler	Ideation	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
164	Development of an abundance index for an under surveyed capelin stock	Ideation	Recherche qui vise à utiliser des méthodes d’apprentissage automatique (machine learning) dans le but de classifier les signaux acoustiques...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
172	AI model for Condtions of Licences review	Ideation	Pac has 130 COls. These have been individually edited over the past decades. An AI model to search and identify difference in wording for si...	Programs Sector	National Capital Region	Automation and Decision Support	Bédard, Mathieu
173	AI model for the traceability of harvested fish	Ideation	An AI model that analysis incoming data requirements ( log books, fish slips, Other traceability documents required by existing and potentia...	Programs Sector	National Capital Region	Automation and Decision Support	Bédard, Mathieu
175	AI model for duplcate or dubious licence accounts	Ideation	Licencing systems hold 10 times the amount accounts compared to licences issued. Many duplicate and dubious accounts across the millions of...	Programs Sector	National Capital Region	Automation and Decision Support	Bédard, Mathieu
54	PII & Sensitivity Scores	Ideation 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
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	Quan, Eric
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	Thomson, Richard
45	MyGCHR – Phoenix analysis tool	Ideation	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
27	Turn on AI Auto labeling on all M365 documents and communications channels	Ideation	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
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	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	Gardner, Leigh
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	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	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	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	Jeanveau, Denis
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
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
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
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

246
GeoAI
Overview: 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
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

Ideation Strategic Policy Automation and Decision Support
176
Analysis of roles
Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.

Ideation Strategic Policy 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.

Ideation Strategic Policy Automation and Decision Support
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
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.

Ideation Automation and Decision Support
164
Development of an abundance index for an under surveyed capelin stock
Recherche 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
172
AI model for Condtions of Licences review
Pac 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
173
AI model for the traceability of harvested fish
An 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
175
AI model for duplcate or dubious licence accounts
Licencing 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
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

Ideation On hold Programs Sector 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

Ideation Programs Sector 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

Ideation Ecosystems and Oceans Science 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.

Ideation Human Resources and Corporate Services Automation and Decision Support
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.

Ideation Chief Digital Officer 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

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

Ideation Chief Digital Officer Automation and Decision Support
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
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
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
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
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
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