Purpose-built products — not generic AI wrappers. Each one solves a specific business problem.
Conservative estimates based on industry benchmarks. Most clients see 200–400% year-one ROI.
Local vs cloud AI isn't just a technical decision — it's a data privacy decision. Here's how the options compare.
| AI Option | Privacy | Cost Model | Best For |
|---|---|---|---|
Local LLM (Ollama)OUR PICK On-premise | 100% private — no cloud | Hardware only, no API fees | Healthcare, legal, finance |
OpenAI (GPT-4) Cloud API | Data sent to OpenAI servers | API usage fees, scales with use | General business automation |
Anthropic Claude Cloud API | Data processed on Anthropic servers | Competitive API pricing | Document analysis, writing |
Microsoft Copilot Microsoft 365 integrated | Microsoft enterprise data protection | M365 subscription add-on | M365-centric organizations |
Our recommendation for most Canadian SMBs: Start with a local LLM (Ollama + AnythingLLM) for internal knowledge and document tasks, and use cloud AI only for customer-facing chatbots where data sensitivity is lower. This gives you the best of both worlds — private knowledge management with fast public-facing responses.
“We were skeptical about AI until Myissues deployed a local LLM for our HR docs. Staff find answers in seconds that used to take 20 minutes of email chains.”
“The n8n workflow they built for our invoicing saves 3 hours every week. It paid for itself in month two. I wish we'd done it two years ago.”
“Our AI chatbot handles 60% of customer questions before they reach my staff. The conversations are on-brand, accurate, and available at 2AM when we're not.”
Free assessment. Fixed pricing. Deployed in days, not months. No vendor lock-in, no data exposure.