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Artificial Intelligence Proof of Concept Program

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​​​​Program Update - March 2026
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The City has completed our review of all submissions received across the program’s focus areas. Each proposal was assessed based on how well it aligns with the City’s Strategic Plan, service improvement goals, operational needs and overall value.

Successful vendors have been, and will continue to be, notified of their selection and participation in the program. Thank you to all vendors who submitted their proposal.


Learn More About Next Steps
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​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Brampton Launches Two-​Year Artificial Intelligence Proof of Concept Program​​​​​​​​

To support innovation and future service improvements, the City of Brampton has launched a two year Artificial Intelligence (AI) Proof of Concept (PoC) program. We are looking to partner with Canadian-based AI companies to explore how AI can improve service delivery, optimize internal operations and enhance decision-making across City departments.

The Benefits for Brampton

AI is transforming industries and the way we work around the world. There are opportunities for municipalities to explore using AI to:

  • Provide faster, more efficient service delivery for residents
  • Improve internal workflows and staff support
  • Leverage data-driven decision-making​

​By launching this program, the City of Brampton is testing new tools to see how we could modernize our service delivery in the future. Brampton is proud to be among the first Canadian cities to invest in exploring AI’s potential and demonstrating leadership in digital innovation.

Calls for Submission

As part of the program, the City is inviting Canadian AI companies, startups and research institutions to submit a proof of concept. The proof of concept should demonstrate how the AI feature would work and interact within a municipal framework.

Proof of Concept project focuses include:​

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We are exploring using AI to streamline the initial review of building permit applications. The system automatically analyzes each submission for completeness and basic compliance with regulatory standards, instantly identifying missing or inconsistent information. By reducing manual review time and minimizing re-submissions, the solution accelerates the overall permit approval process.​

Benefits

  • Automatically detect incomplete or non-compliant submissions
  • Provide faster feedback and clearer requirements
  • Reduce review time and accelerate approvals
  • Minimize back-and-forth corrections for applicants
  • Free staff time to focus on complex or high-value tasks
  • Provide faster feedback and clearer requirements
  • Boost efficiency, compliance and user satisfaction for both the public and City staff​

We are exploring using an AI-driven review solution to analyze proposed zoning reviews for license issuance, re-submission of permit applications, etc. The AI tool will identify compliance or potential issues, which allows Planning, Building and Growth Management staff to focus on complex cases, while expediting approvals for straight forward proposals​.

Benefits

  • Reduce manual effort and subjective interpretation, enabling more consistent decisions
  • Provide applicants with clear, rules-based feedback and faster responses
  • Allows City Planning staff time to focus on complex or high-value cases​

We are exploring ways that AI can enhance municipal financial management and support a more transparent budgeting process. To improve accuracy and transparency, machine learning would be used to analyze city financial records, identify unusual spending patterns and forecasts budget trends.

Benefits

  • Improve accuracy of financial forecasts using historical and real-time data
  • Support informed resource allocation and financial policy development
  • Automate routine data processing, freeing Finance teams for strategic work
  • Provide real-time budget monitoring and forecasting for timely adjustments
  • Detect anomalies and unusual spending patterns early, reducing financial risk and waste​

This AI solution is designed to manage Development Charges (DCs) and Cash-in-Lieu (CIL) of parkland payments by analyzing financial records, monitoring payment schedules and flagging discrepancies. It integrates data from multiple internal systems to provide a unified view of DC and CIL collections, supporting accurate tracking, reporting and oversight across the entire payment lifecycle. The solution will als​o include a chatbot to offer customer support

Benefits

  • Provide real-time dashboards and analytics of financial data
  • Automate email triage by prioritizing urgent queries and streamline web-based intake to free staff for higher-value work
  • Adapt to municipal by-law updates or fee changes to ensure payments stay current
  • Offer chatbot support, consistent answers and proactive reminders to keep customers informed and reduce missed payments​

The 311 self-serve AI customer service agent will transform how Brampton residents access city services by providing immediate and personalized responses to common inquiries and service requests. The agent is designed to empower residents to use the self-serve feature 24/7, which could reduce call center volumes and improve first-contact resolution.

Benefits

  • Potential to reduce the average call time for frequently asked questions about topics such as garbage collection schedules, parking inquiries or permit status
  • Enhances service accuracy and user satisfaction by minimizing misdirected or repeated requests
  • Improved use of consistent messaging aligned with city service standards and accessibility requirements
  • Residents to get immediate responses and the ability to self-serve 24/7
  • Real-time analytics from AI interactions will identify trending issues, enabling proactive service improvements and better resource allocation

​​To support workforce development, we are exploring the use of an AI-powered Learning and Development (L&D) solution. The intent is for the solution to personalize learning journeys matched with individual staff needs, automate the curation of relevant and timely training materials and provide skill gap analytics to identify future workforce needs and recommend upskilling plans. Additionally, the solution will support strategic, data-driven workforce planning across the organization, which will enable more effective and evidence-based development of employees.

Benefits

  • AI-driven analytics will identify current and future skill gaps, enabling data-driven L&D strategies and precise upskilling initiatives
  • Automate learning recommendations and content curation will reduce manual effort in course assignment ad catalog management
  • Ensure completion tracking and monitoring for mandatory and role-based training, improving compliance reporting accuracy​

This internal AI solution will provide employees with instant access to Human Resource (HR) information and services such as policies, leave requests and benefits, through the City's intranet. The solution automates routine inquiries and transactions, streamlines HR workflows and escalates complex cases to HR staff for personal handling.

Benefits

  • Provide timely, consistent and accurate HR information anytime
  • Ensure consistent communication of HR policies and benefits, with privacy safeguards
  • Allow HR staff to focus on strategic initiatives and complex cases
  • Automate responses and transactions, reducing wait times and manual effort​

​​We are exploring the use of AI to automate the closure of Enforcement and By-Law Services complaint responses. By gathering and analyzing relevant enforcement data, such as patrol logs, ticket records and complaint trends, the solution will generate personalized, resident-friendly closure messages.

Benefits

  • Provide data-driven insights from enforcement records and complaint trends to support informed decisions and prioritization
  • Lower staff workload and operational costs by minimizing staff time spent on research and conducting follow-up calls
  • Ensure complaint responses consistently align with policy and enforcement standards through the automation of data collection and analysis
  • Deliver personalized, transparent updates that show how complaints contribute to enforcement, building trust and satisfaction​

​​​​The AI solution will modernize the Administrative Penalty System (APS) by automating screening, case triage, scheduling, evidence compilation and correspondence. It will support decision-making for Screening Officers, enable predictive collections management and provide a personalized payment experience with AI-powered reminders, multilingual chatbot assistance and flexible payment plans.

Benefits

  • Automate screening intake, case triage and evidence gathering to reduce manual work and speed up case processing
  • Provide summary and recommendations to Screening Officers to support faster, more consistent decisions
  • Automatically generate correspondence to streamline interactions
  • Personalized payment reminders and flexible options to improve accessibility and satisfaction
  • Predictive insights to help prioritize overdue cases and recommend collection strategies, boosting success rates
  • Dashboards and reports to enable managers to monitor trends and make informed operational improvements​

We are exploring using AI technology to monitor road potholes. Automated detection could be easily leveraged by the City to schedule repairs proactively and efficiently. 

Benefits 

  • Less turnaround time for pothole detection and assessments through leveraging the superior data processing power of AI technology 
  • Cost efficient road maintenance through predictive maintenance that minimizes costly emergency repairs 
  • Potentially reduced accidents due to quicker detection of potholes 
  • Safer pothole inspection process for City Staff 
  • Scalable pothole assessments that work across diverse road environments (rural/urban/highway) and can be applied seamlessly to additional assumed roads ​

Interested in participating?​

Submit a Proof of Concept​​

Next Steps

  • Proof of Concept Submissions: Submissions are now closed. Submission deadline was November 13, 2025
  • Review Process: Proposals are reviewed and selected on an ongoing basis for ​testing by the City’s Information Technology Division to ensure alignment with City objectives
  • Implementation: Proof of Concepts will be launched, evaluated and reported to Council at key milestones​​
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