Integrating AI into your product: from use case to production

A good first AI project ticks three boxes:

• aa repetitive task that costs time every week;
• ban occasional AI error is acceptable or easy to correct;
• cthe gain is measurable: minutes saved, tickets resolved, conversion rate.

An assistant answers a request. An agent chains several steps and uses tools. RAG (retrieval-augmented generation) has the AI search your documents before answering, with sources.

For most companies, RAG over their own documents is the safest starting point: answers rest on what you already know, and can be checked.

Build a test set: real questions and the expected answers. Measure before launch, then after every change of model or prompt. Without that measurement, every improvement is an impression.

Apptunix publishes $25,000 to $60,000 for an AI chatbot and $30,000 to $300,000+ depending on complexity in Canada. Model usage costs come on top and grow with usage: track them from day one.

If the AI processes personal information, the integration is an information-system development project under Quebec's Law 25: a privacy impact assessment is required, and any transfer of data outside Quebec must be assessed. Our Law 25 guide details these obligations.