AI for data teams (Bytaru AI)

Each analyst uses AI their own way, good prompts get lost, nothing becomes a standard, and company data risks going where it shouldn't.

Who it is for

BI and data engineering teams of 3 to 20 people. Common signs: "we want to use AI with governance", "everyone uses a different tool".

What we deliver

• Method: a well-written request, assisted execution, human review and recorded learning.
• A shared team context, read by every AI tool, and a library of reusable prompts in an open standard.
• Confidentiality rules for what never leaves the company, with automated checks.

How we do it

1. Assessment of current use.
2. Team context and rules.
3. Prompts for the 3 to 5 most repeated tasks.
4. A pilot on a real request, then expansion.

How we measure

Time per request before and after, rework, reused prompts and confidentiality incidents (target: zero).