Answers from your database
without waiting on a query
Someone asks how many orders came from a region last month, and it takes a day to get an answer. The person who can write that query is busy. We build an agent that reads your database directly through a guarded read-only layer. It answers in plain language, or on a schedule.
Why the answer waits in a queue
A simple business question, how many orders came from a specific region last month, usually needs someone who knows SQL and has database access. That person is rarely the one who needs the answer fastest. Teams without a dedicated analyst commonly report that a routine data question takes anywhere from a few hours to a full day to answer. Not because the query is hard, but because it sits in a queue behind someone’s other work.
The common workaround, building a dashboard for every recurring question, does not scale either. A dashboard answers the question it was built for and nothing else. A new question still needs a new query or a new chart built from scratch. Meanwhile, giving more people direct database access to skip the bottleneck introduces its own risk. A badly written query can lock a table. Or return a number that looks precise but is subtly wrong, because it missed a join condition nobody caught.
What the agent answers, and how it stays safe
Answers plain-language questions directly. “How many orders came from Thailand last month” becomes a scoped SQL query. The answer and the query itself stay available for anyone who wants to check it.
Runs on a dedicated read-only role, scoped to an approved data mart or set of views, not raw production tables. The agent physically cannot write, update or delete, no matter what query it generates.
Delivers scheduled reports to Slack, Telegram or email on whatever cadence your team needs, formatted as a chart or table depending on the question. Recurring reports stop depending on someone remembering to run them.
Forces row limits and timeouts on every query. A question that would otherwise scan an entire table and lock up the database gets capped automatically. It never becomes its own incident.
Logs every question and the query behind it. A number in a report always traces back to exactly what was asked and exactly what ran. No more trusting a dashboard nobody can audit.
Flags when a question cannot be answered from the data available, rather than guessing or returning a technically correct but misleading number from a misunderstood schema.
Where the business decision still belongs to you
The agent answers from data. It does not make the business decision the data informs. Anything requiring a write operation, correcting a record, adjusting a value, stays entirely outside the agent’s role, since it has no write access by design. Interpreting an ambiguous question is a human call. So is deciding what the business actually means by a term like active customer. Any report headed for investors, auditors or regulators goes through a human before it ships.
How trust in the answers gets built
A testing period compares the agent’s answers against known-correct numbers, before anyone relies on it for a new question. The read-only role and scoped views get set up and reviewed before launch, and do not expand without a person approving the change. Forced row limits and timeouts cap what any single query can do to the database, and every question and query is logged for audit. A kill switch revokes the agent’s database access instantly.
Price and timeline
| Package | Price | Best for |
|---|---|---|
| Single automation | from $700 | One database or data mart, answering questions and shipping scheduled reports |
| Department package | from $2,500 | Reporting across several data sources with shared scheduling and delivery |
4 to 9 days, most of it spent setting up the guarded read-only layer and mapping your schema so answers are accurate from the first real question.
Related
This depends on the same groundwork as API integration glue when source data lives across several systems. It pairs with log triage and alerting when an incident needs a quick data check. E-commerce teams running pricing rules and margin guards usually want the same reporting layer watching margin trends. Part of automation of everything digital and built the way we build AI agents for our own products. Our own numbers come from exactly this kind of guarded layer. See the factory ERP recovery on self-hosted infrastructure and the analytics hub with an AI analyst across two brands.
Tell us which database and which recurring questions you want answered. We will send back a fixed price and a plan for the first week: get in touch.
Tired of doing this by hand? We can take the whole routine off your team, not only this step: Routine takeover, from $400 →
FAQ
How much does an AI database reporting agent cost?
A single database or data mart with a read-only question-answering agent starts from $700. A department package covering reporting across several data sources starts from $2,500, depending on schema complexity and how many report schedules you need.
How long does it take to go live?
4 to 9 days. First we set up the guarded read-only role and query layer. Then we map your schema, so the agent understands what a customer or an order means in your database, and test against real questions your team already asks.
Which tools does it connect to?
PostgreSQL, MySQL, BigQuery, Snowflake and similar databases through a dedicated read-only role. Slack, Telegram or email for delivering answers and scheduled reports. Claude for turning a plain-language question into a safe, scoped SQL query.
What if the agent runs a wrong or dangerous query?
The agent's database role is read-only, so it cannot write, update or delete, whatever it generates. Every query is scoped to an approved mart or view. Forced row limits and timeouts prevent runaway queries, and every question and its underlying SQL get logged, so a wrong answer can be traced and corrected.
Is our data safe?
The agent connects through a role you control, scoped to only the tables or views you approve, and credentials stay yours and revocable at any time. We do not retain your data outside the question-answering session, and sensitive tables can be excluded from the agent's scope entirely.