Where it helps first
- Writing: first drafts of emails, product descriptions and reports.
- Summarising: long documents, meetings and customer feedback.
- Support: answering common questions, with a person for anything unusual.
- Search: finding answers in your own documents.
- Data entry: reading invoices and forms (OCR) into structured fields.
Chatbots that use your own documents
A common pattern is retrieval-augmented generation (RAG): your documents are split into passages and indexed by meaning (with an embedding model); for each question the most relevant passages are found and given to the language model, which answers from them and can cite them. It keeps answers closer to your facts than a model's general knowledge.
Run a small pilot
Pick one task
Repetitive, high-volume and easy to check.
Measure the before
Time spent, errors and cost today.
Keep a person in the loop
People review outputs before they reach customers.
Compare after a month
Keep what saves time without adding errors.
Protect your data
Know where each tool sends your data and how long it is kept. For confidential information, models that run on your own servers keep everything in-house — the approach ZIBADIS AI Lab takes, with no external API.
Tools for this
Asaiejadoo — everyday calculation and AI guides, part of the ZIBADIS network founded by Masoud Moghaddam in Tehran.
