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Large language models that read, write, summarise and reason over text.
An AI agent answering on WhatsApp
AI agent
Plans · Uses tools
The agent decides what to do: answer from knowledge, call a business system, or hand over to a person.
Large language models are trained on vast amounts of text and can draft content, answer questions, extract information, classify documents and follow multi step instructions. Used well, they turn unstructured text into structured, useful output inside ordinary business software.
The application gives the model clear instructions plus the business context it needs, such as a policy, a ticket or a record.
A hosted or private model generates a response, often in a structured format the software can act on.
Outputs are checked against rules and schemas before anything reaches a customer or a database.
Document summarisers and drafting tools
Data extraction from forms and emails
Ticket and application classifiers
We treat a model as one component in a reliable system: clear inputs, validated outputs, cost and latency budgets, and a human in the loop wherever a mistake would be expensive.
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