Large language models are fluent, but on their own they do not know your prices, policies or stock levels — and they can confidently make things up. Retrieval-augmented generation (RAG) fixes that.
How RAG works
- Ingest: your SOPs, contracts, catalogues and ERP records are split into passages and indexed.
- Retrieve: when someone asks a question, the most relevant passages are fetched — respecting that user's permissions.
- Generate: the model answers using only those passages and cites them.
Where it pays off
- Customer support on WhatsApp that quotes your real return policy.
- Sales staff asking "what is the stock of item X in Lahore?" in plain language.
- Finance teams searching contracts and invoices instantly.
From answers to actions
Add agents with scoped tools and the assistant can create a quotation, post an entry or send a reminder — under approval gates and with a full audit trail.
Explore our AI services or start a four-week pilot on one process.
