How AI changes the product
Customers now expect intelligence inside workflows: drafting, summarizing, searching in natural language, extracting data from uploaded files and automating routine steps with agents. The strongest features sit on top of the data your product already owns, which competitors cannot copy easily, rather than generic chat windows added for marketing. Before building, we ask what unique data or workflow context you hold, because that is where an assistant can be genuinely better than a general-purpose chatbot.
AI features bring unit economics a classic SaaS lacks, because every request has a variable model cost. Plan usage limits, caching, model routing and evaluation early. Tenant isolation also matters for retrieval: one customer's documents must never surface in another's answers, and prompts should be logged with care. Evaluation sets built from real tasks catch regressions when models or prompts change, which is how AI features stay dependable across vendor updates.
