The chatbot is the hello-world of LLM applications. It is easy to demo, easy to understand, and — for most businesses — the wrong place to start. The use-cases with the fastest payback are quieter and more specific.
1. Document classification
Insurance claims, legal correspondence, support tickets, invoices — any business that processes a high volume of inbound documents can use an LLM to classify and route them at a fraction of the cost of human triage. Accuracy in the high nineties is routine; the edge cases that fall through still need humans, but the volume handled automatically changes the economics of the whole operation.
2. Internal search over unstructured data
Most companies have years of documents, emails, and meeting notes that contain decisions nobody can find. RAG (retrieval-augmented generation) over an internal corpus turns that data into something queryable. The ROI shows up in the first week.
3. Contract review assistance
Not replacement — assistance. An LLM that flags non-standard clauses, highlights missing provisions, and summarises key dates gives a junior lawyer the leverage of a senior one for routine work.
4. Customer support draft generation
Human agents review and send; the LLM drafts. Average handle time drops, consistency improves, and agents spend their cognitive budget on the hard conversations that actually need them.
5. Automated reporting
Data in, narrative out. Monthly reports that used to take a day now take ten minutes of human review. The LLM does not add insight — but it removes the bottleneck of translating numbers into sentences.