Customer Stories
Peel Police Saves $140K in Just 30 Days with Resolve

Peel Police Saves $140K in Just 30 Days with Resolve

January 2, 2026
5 min read

Organization Profile

Industry: Law Enforcement & Public Safety
Company Size: 4,200+ Staff
Region: Regional Municipality of Peel, Ontario, Canada
Services: Policing, public safety, and digital infrastructure supporting Peel’s residents and inter-agency partners

Modernizing IT in Public Safety

Peel Police relies on a complex digital ecosystem to operate one of Canada’s largest regional policing environments. The agency leverages hybrid IT systems to deliver mission-critical services. But as digital demand grew, the agency’s IT team faced mounting challenges:

  • Repetitive server builds consumed valuable engineering time
  • Inconsistent configurations created security and compliance risks
  • Senior engineers were pulled into rework when junior staff missed steps
  • Vendor-specific orchestration tools were too limited in scope
  • Infrastructure-as-code solutions required coding skills outside the team’s bandwidth

Peel Police needed an automation foundation that could eliminate manual work, enforce consistency, and scale across a hybrid environment.

The Challenge of Scaling Automation

Initial attempts to explore automation through vendor-specific tools like VMware and Microsoft fell short. Each solution was locked to a single ecosystem and couldn’t support Peel Police’s diverse infrastructure. Meanwhile, code-heavy platforms were inaccessible for an infrastructure team that didn’t uniformly specialize in software development.

What was needed was a vendor-agnostic automation layer: a layer flexible enough to work across systems and intuitive enough for engineers without coding backgrounds.

An Enterprise Automation Platform That Fits

Resolve delivers that automation layer. The platform’s vendor-agnostic approach allowed Peel Police to standardize builds across VMware and Microsoft, while its no-code/low-code usability meant engineers could design workflows without needing developer skills.

A proof of concept quickly demonstrated value, showing how repetitive server builds could be automated end to end. The success of the trial led Peel Police to adopt Resolve as the foundation for its automation strategy.

Results That Matter

The impact was immediate and measurable:

  • $140,000 saved and 160 days of effort eliminated in just 30 days
  • 200+ hours saved per month by eliminating manual tasks
  • Inter-agency data transfers that once took hours now complete in 15–20 minutes
  • Zero-touch server commissioning ensured every build was consistent and secure

These results not only cut costs but also freed engineers to focus on higher-value priorities that directly support public safety.

From Silos to Strategy

By consolidating automation into a single orchestration platform, Peel Police eliminated the risks of fragmented tools and siloed workflows. Instead of managing isolated scripts or vendor-specific solutions, the team now operates with a unified approach that scales easily across new projects.

This shift has created a repeatable automation framework that strengthens IT resilience, reduces human error, and accelerates delivery of mission-critical services.

Looking Ahead

Peel Police continues to expand automation into new areas, from onboarding inter-agency data processes to refining active directory workflows. Each initiative builds on the same enterprise automation platform, ensuring consistency and reducing manual effort across the board.

The department sees automation as key to achieving a Zero Ticket™ future, one where IT can operate proactively, eliminate repetitive workloads, and redirect staff energy toward the priorities that matter most in policing and public safety.

Ready to See Similar Results?

Take a look at Resolve Actions to discover how automation can deliver measurable outcomes for your organization (cost savings, faster operations, etc.) or request a custom demo to see how leading agencies like Peel Regional Police are transforming IT efficiency with Resolve.