Microsoft Public Sector Canada

City of Burlington

Customer Service Automation

As pioneers in municipal AI application, we’re growing incrementally—beginning with assistive AI to improve our operations. Our goal is to meet the rising expectations for digital services and make meaningful enhancements to the way our residents interact with city services.

33% reduction in building-permit approval process
By embracing a low-code strategy to innovate digital applications, the MyFiles portal reduced the building-permit approval process from 15 weeks to 5–7 weeks. The AI-powered digital assistant CoBy was conceptualized and deployed in only eight weeks, enhancing insight into resident concerns for frontline business departments and fostered collaboration between city departments.
Deployed an AI-powered assistant in 8 weeks

Reported impact

Business outcome

The City of Burlington in Ontario, Canada, is embracing the power of digital solutions and AI to rapidly develop online services that are boosting productivity and transparency.

  • Customer Experience
  • Productivity Improvement
  • Speed to Market

Solution

The City of Burlington in Ontario, Canada, is embracing the power of digital solutions and AI to rapidly develop online services that are boosting productivity and transparency. In 2023, the city began complementing its traditional in-person customer service with a new emphasis on AI and technology solutions.The city developed a system called MyFiles using AI and Microsoft Power Platform that allows customers to track the status of building permit applications and used Microsoft Copilot Studio to deploy CoBy,a custom copilot—an AI-powered digital assistant— to respond to resident inquiries on its website. By embracing a low-code strategy to innovate digital applications, the MyFiles portal reduced the building-permit approval process from 15 weeks to 5–7 weeks. The AI-powered digital assistant CoBy was conceptualized and deployed in only eight weeks, enhancing insight into resident concerns for frontline business departments and fostered collaboration between city departments.

Solution architecture

2 products mentioned
  • Microsoft Copilot Studio
  • Microsoft Power Platform

Evidence from the source

As pioneers in municipal AI application, we’re growing incrementally—beginning with assistive AI to improve our operations. Our goal is to meet the rising expectations for digital services and make meaningful enhancements to the way our residents interact with city services.
By embracing a low-code strategy to innovate digital applications, the MyFiles portal reduced the building-permit approval process from 15 weeks to 5–7 weeks. The AI-powered digital assistant CoBy was conceptualized and deployed in only eight weeks, enhancing insight into resident concerns for frontline business departments and fostered collaboration between city departments.
In 2023, the city began complementing its traditional in-person customer service with a new emphasis on AI and technology solutions.The city developed a system called MyFiles using AI and Microsoft Power Platform that allows customers to track the status of building permit applications and used Microsoft Copilot Studio to deploy CoBy,a custom copilot—an AI-powered digital assistant— to respond to resident inquiries on its website.
The City of Burlington in Ontario, Canada, is embracing the power of digital solutions and AI to rapidly develop online services that are boosting productivity and transparency.
Transparency Evidence & methodology 70/100 reference value · 83% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value70/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth0/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    3 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence83%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity4/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    City of Burlington customer story

    First-party
    https://www.microsoft.com/en/customers/story/18754-city-of-burlington-microsoft-power-platform
    Source type
    Vendor-published customer story
    Published
    Sep 20, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Sep 20, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.