Many SMBs are attracted to AI, but unsure where to start. The key is not the most advanced model, but a use case that solves repetitive daily tasks.
Start with three areas: customer service (FAQs and order status), internal admin (email summaries, reply drafts), and operations (stock reminders, payment follow-ups). All three typically show results quickly.
Avoid building a generic chatbot without real business data. Collect actual FAQs, SOPs, and conversation examples. The more specific the knowledge base, the more useful the AI assistant.
Measure success with simple metrics: response time, number of tickets resolved automatically, and work hours saved. If those numbers don't move, evaluate the prompts and flows — not immediately swap the model.
Alim Studio typically designs AI as a layer on top of already-clear processes. Automation without a solid process only accelerates chaos.
