AI integration: when it adds real value (and when it does not)
Practical uses for OpenAI, LangChain, and automation — assistants, document processing, and workflows that save time.
6 min read
AI belongs in a product when it removes friction users already feel — not when it decorates a landing page with buzzwords.
Strong use cases include searchable document libraries, support assistants grounded in your own content, draft generation for repetitive admin tasks, and workflow automation that connects tools you already use.
Weak use cases include generic chatbots with no context, features users did not ask for, and systems where a simple form would be faster and cheaper to maintain.
Integration work should cover prompt design, data privacy, fallbacks when the model fails, and cost monitoring. Start with one workflow, measure time saved, then expand. AI is a tool in the stack — not a substitute for product thinking.