Engineered for Your Business: artificial intelligence service by YAITEC Solutions, a Brazilian company specializing in custom AI solutions with LGPD compliance and native integration with enterprise systems.
SQL agent: your team asks in plain language and gets the answer from the database
No waiting for IT and no hand-built reports. The agent understands the question, queries the database respecting who can see what, and returns the number or table the person needs.
Quick reply, no commitment.
Where the SQL agent helps
Questions that today become an IT ticket or a hand-built spreadsheet.
Reports nobody wants to build
Sales by region, overdue accounts this month, idle stock: the question becomes a query and the answer arrives without a queue.
Data spread across systems
The agent combines CRM, ERP and different databases to answer in a single question.
Day-to-day indicators
Key metrics and customer behavior tracked without waiting for the monthly report.
Data preparation
Transformation, cleaning and enrichment handled by the agent, so the team can use the result.
How it works
We start from the questions your team asks most, not from the database.
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1
Diagnosis
We list the questions that take longest to answer and the databases that hold the answers.
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2
Database map and permissions
We map tables and what each field means, and define who can query what.
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3
Prototype with real questions
A basic version takes 2 to 4 weeks and is tested with your team's questions.
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4
Integration
We connect the agent to the chat, dashboard or system the team already uses.
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5
Training and support
We train the team, hand over documentation and continue with support and maintenance.
Which questions hold your team back today?
Send us two or three. We will tell you whether the agent can answer them and what it needs.
What you get
An agent that answers with company data, with access rules from day one.
Project delivery
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Agent connected to your database
MySQL, PostgreSQL, SQL Server, Oracle, SQLite or a cloud database.
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Role-based permissions
Each person queries only what they may see, and write actions are off by default.
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Documentation and training
So your team can use and maintain the agent without depending on us.
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Support and maintenance
Updates, monitoring and adjustments as the database and the questions change.
How we can work together
Four formats, from the first diagnosis to a project in production. You can start with any of them. The price depends on scope and comes in a written proposal, before any commitment.
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01
Free diagnosis
A 30-minute conversation
To find out whether AI solves your case before you invest.
- A conversation about your real process
- The two or three points where AI changes the result
- What is not worth automating yet
No cost
Get the diagnosis -
02
AI consulting
1 session and a report
To decide what to do first and what it costs.
- 1-hour session with the technical team
- PDF report with the recommended approach
- Implementation roadmap
- Cost-benefit analysis
Custom proposal
Book consulting -
03 Results in weeks
Production prototype
4 to 6 weeks
To validate a use case with real data and users before scaling.
- Working prototype connected to your tools
- Integration with the systems involved
- 2 review cycles
- Deployment guide
Custom proposal
Start a prototype -
04
Full project
Scope and timeline fixed in the proposal
To take the solution to the whole operation, with integrations and a trained team.
- Complete, custom-built AI solution
- Integration with ERP, CRM and databases
- Performance testing before going live
- Team training
Custom proposal
Talk about the project
See the agent answering with your data
Tell us which databases you use. The reply comes with the prototype scope.
Data and agent projects
Some of the projects we worked on.
ATC Analytics
AI agent that queries SQL databases.
Langflow
AI agent platform.
nabl
Platform with a data dashboard.
FAQ
What does a SQL agent do?
It turns plain-language questions into database queries and returns the answer. It can also automate reports, combine data from different systems and prepare data for analysis.
Do I need technical knowledge to use it?
No. The team asks the way they would ask a colleague. We deliver training and documentation to use and maintain the agent.
Which databases does it work with?
MySQL, PostgreSQL, SQL Server, Oracle, SQLite and cloud databases, among others. If your case has a specific database, we assess it in the diagnosis.
Can the agent change or delete data?
By default it only reads. Writes and sensitive actions are added only with explicit permission and a person's approval.
How long does implementation take?
A basic version takes 2 to 4 weeks. Projects with several integrations and more detailed access rules take 1 to 3 months. The timeline comes in the proposal.
How is the price set?
Per project, based on complexity, the number of integrations, data volume and the ongoing support needed. The proposal arrives in writing after the diagnosis conversation.
Ask your database the way you ask a colleague
Tell us which databases you use and the questions that take longest to answer. We return the scope and a written proposal.
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