Solutions
Webilly AI: your data, asked in plain language
Webilly AI turns a question asked in plain language into a guard-railed query on your database and returns numbers, tables and charts. The queries are constrained — the AI does not improvise its way into your data — and the engine is multi-provider: you can run it on Anthropic, OpenAI or Gemini.
In short
- Plain-language questions, answers from your real data
- Guard-railed queries: the data perimeter stays under control
- Answers as numbers, tables and charts
- Multi-provider: Anthropic, OpenAI, Gemini
- No spreadsheet export needed to answer a question
The question that isn't worth a report
Every ISP has questions nobody bothers to build a report for, because they are needed once. Those are exactly the ones Webilly AI answers in seconds.
- How many FWA contracts did I activate in the last three months
- What is my 90-day-plus overdue balance by area
- Which customers have more than two open tickets
- How did mobile-destination voice traffic go last quarter
Constrained, not creative
An assistant writing free-form SQL against a production database is a liability. Webilly AI works inside a defined perimeter, and roles and permissions apply to the AI exactly as they apply to the user.
- Queries built inside a controlled perimeter
- Roles and permissions respected by AI answers too
- Audit log of queries
- Choice of AI provider to match your policy
Frequently asked questions
What exactly does Webilly's AI do?
It translates a question asked in plain language into a guard-railed query on your database and returns the result as a number, table or chart. It does not replace the platform — it queries it.
Can the AI reach data a user would not see?
No. Roles and permissions apply to AI answers as well, and queries stay inside a defined perimeter.
Which AI model does it use?
Webilly AI is multi-provider: it supports Anthropic, OpenAI and Gemini, so choosing the vendor stays your policy decision.