AI strategy for Canadian organizations
We help operations and technology teams figure out what to build, what to buy, and how to make their people confident using it. No hype. Deliverables you can act on.
We run a structured assessment to determine when building custom makes sense and when existing platforms are the smarter call. You get a clear recommendation and the numbers behind it.
We build Model Context Protocol servers that connect Claude directly to your internal systems. Your CRM, ERP, databases and proprietary tools become part of the conversation.
Workshops, certifications and role-specific programs that give your team practical skills. We focus on what people will actually use the next morning.
Internal teams built agents here and there with some success on adoption, but don't know how to maintain them, reduce costs, or increase efficiency. We take over, refactor, and run them.
Canadesk started as a help desk implementation firm, deploying Zendesk, Freshdesk, Zoho, Ada, and Intercom for Canadian organizations. That gave us something most AI consultants lack: a ground-level view of where users get lost, what processes are fragile, and what breaks when you add AI to the middle.
Your SOC team drowns in alerts. Ours built an agent that ingests SIEM events, cross-references threat intel, and auto-closes false positives with an audit trail your compliance team will love.
Federal and provincial bills that matter to your sector, monitored daily. The agent reads LEGISinfo, Gazette, provincial updates, and lobbyist registry filings, then sends your team a one-page brief every morning.
A first-notice-of-loss agent that answers every call in under 2 rings, conducts a full intake interview in plain language, validates coverage in real-time against Guidewire, and files the claim with zero human touch.
Most AI projects stall because teams treat them like software releases. We don't. Each cycle takes under twelve weeks and feeds the next. We want YOUR people to build it.
We align your team on what AI actually is versus automation, and where each earns its place.
Our framework scores every candidate use case on impact potential, data readiness, and risk. You pick.
Lock in a measurable business metric before we write a line of code. No baseline, no project.
Build fast, open the gates to real users, collect signal. Twelve weeks is the ceiling. Every time.
Audit trails, guardrails, human-in-the-loop gates. Then stamp it enterprise-ready and hand over the runbook.