Microsoft Media and Entertainment Canada

Cineplex

Customer Service Automation · Enterprise Knowledge Search · System Migration

Together, these solutions save the company over 30,000 hours a year in manual processing time.

Cineplex is a leading media and entertainment company with over 10,000 employees across Canada and the United States.
To streamline business processes, over 100 employees are using Power Platform to develop innovative automation solutions for finance, guest services
To streamline business processes, over 100 employees are using Power Platform to develop innovative automation solutions for finance, guest services, and other...
Together, these solutions save the company over 30,000 hours a year in manual processing time.

Reported impact

Business outcome

Every year, teams from across the organization are given eight weeks to build automated solutions for real business scenarios with support from the Automation CoE, culminating in a presentation to the executive leadership team.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth
  • Risk Reduction

Solution

Cineplex used Microsoft Copilot Studio, Power BI, Power Platform to replace disconnected manual workflows with a more consistent digital operating model. Low-code automation and copilot capabilities orchestrate tasks, route work, and surface context to agents or business users without requiring separate point solutions. Every year, teams from across the organization are given eight weeks to build automated solutions for real business scenarios with support from the Automation CoE, culminating in a presentation to the executive leadership team. The architecture emphasizes managed services, reusable integrations, and governed data handling so the organization can scale adoption without rebuilding the solution for each new team or use case.

Data flow

Business data is unified in the service data layer, Power Automate coordinates the workflow across connected systems, and Power Apps surfaces the experience to employees or customers in a single guided interface.

Solution architecture

5 components · 3 layers
  1. Compute
    • Microsoft Copilot Studio Builds conversational agents and copilots with enterprise integrations and controls.
  2. Serving
    • Power BI Delivers dashboards, reports, and self-service analytics to business users.
    • Power Apps Delivers custom business applications and front-end workflows to employees.
  3. Orchestration
    • Power Platform Provides the low-code automation and application platform for workflow modernization.
    • Power Automate Orchestrates business workflows, notifications, and system-to-system automation.

Architecture clues

  • Automates cross-system workflow steps with low-code orchestration.
  • Implements enterprise copilots or agents with Copilot Studio guardrails and integrations.

Evidence from the source

After a competitive review, Cineplex decided to adopt Power Automate more broadly across the company.
Every year, teams from across the organization are given eight weeks to build automated solutions for real business scenarios with support from the Automation CoE, culminating in a presentation to the executive leadership team.
The group was led by Bo Wang, Vice President of Taxation & Treasury at Cineplex—a self-taught citizen developer who had started using Microsoft Power Automate to build robotic process automation (RPA) solutions for his team.
To streamline business processes, over 100 employees are using Power Platform to develop innovative automation solutions for finance, guest services, and other departments.
Together, these solutions save the company over 30,000 hours a year in manual processing time.
Transparency Evidence & methodology 77/100 reference value · 89% 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 value77/100
  • Problem clarity12/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    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 impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • 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
    5 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 specificity10/10
    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

    Cineplex customer story

    First-party
    https://www.microsoft.com/en/customers/story/1751257654493783966-cineplex-telecommunications-power-automate-en-canada
    Source type
    Vendor-published customer story
    Published
    Mar 26, 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 Mar 26, 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.