Skip to content

Case studies

What the work actually looks like

Client names are withheld until each approves attribution. The problems, methods, and outcomes below are real engagements.

Professional services · Mississauga, ON

Moving a 60-person firm off aging on-prem servers

Problem
Two ageing file servers, no tested backups, and a helpdesk that ran through one overloaded office manager.
Approach
Read-only audit, staged migration to Microsoft 365 and Azure, device enrolment in Intune, and a fixed-fee managed support agreement.
Outcome
Server room retired, backup restores tested monthly, and first-response on priority tickets brought under one hour.
  • Cloud
  • Managed IT
  • Cybersecurity

B2B SaaS · Toronto, ON

A grounded AI agent handling first-line support

Problem
Support was answering the same forty questions repeatedly, with a rising backlog and slipping response times.
Approach
Retrieval-augmented agent grounded in the help centre and product docs, evaluated against a year of historical tickets before launch, with human escalation on low confidence.
Outcome
Routine tickets deflected at first contact, every answer logged with its sources, and agents freed for complex cases.
  • AI agents
  • RAG
  • MLOps

Home services · Peel Region, ON

From invisible to quoted in AI answers

Problem
A regional service business ranked for its own brand name and nothing else, and was absent from AI assistant answers entirely.
Approach
Technical SEO remediation, consistent entity and NAP data, service-area pages, and answer-ready FAQ content with FAQPage and LocalBusiness schema.
Outcome
Growth in non-brand organic enquiries and citations appearing in assistant answers for category questions.
  • SEO
  • AEO
  • GEO

Your turn

Want a version of this written about your business?

Start with a paid audit or a short pilot. Both produce evidence you can act on whether or not you continue with us.