Even on days with no anomalies, questions come up. Ask in chat and AI answers by checking the real data. No SQL to write, and no database access required. People on the business side can start analyzing data on their own.
Last week's orders were at about the same level as the week before. The weekend dip is a weekly pattern, and there's no decline.
Even a quick number check means asking someone with database access
You can't give people on the business side access to the production database
Later, you can't tell what an answer was based on
AI writes a query for your question and runs it over a read-only connection. It reads the results and answers in plain words.
Trends and breakdowns are charted right in the conversation.
The queries run and their results are kept in the conversation history, so you can check what an answer was based on later.
Say "watch this value too" and AI creates a monitor. Facts it learns can also be saved to memory.
Ask in your own business terms.
"Have orders dropped since last week?"
"Show me payment failures in the last 24 hours by payment method."
"Did any other values change during this outage?"
"Keep an eye on new sign-ups, too."
"Orders go up every Monday morning, so remember that."
"Has this happened on this monitor before?"
"Do orders have an hourly or weekly cycle?"
"When orders rise, how many hours later do support requests rise?"
"What's behind the difference from last week?"
All you need is a database connection string or an account connection. Nothing to install on your servers.
Open a new chat
Click "New chat" in the console and type your question.
AI checks the real data
AI builds and runs queries, and charts the results when useful.
Review the answer
Along with the answer, you can see the queries run and their results. You can keep asking follow-up questions.
Business teams
Compare orders before and after a campaign
Ask "How did orders change before and after the campaign?" and AI answers with a chart of daily orders.
Incident response
Dig deeper into an alert
After receiving an incident notification, you can follow up with questions like "How many orders were affected?"
AI monitor design
AI reads your schema and real data to design what to watch, how often to collect it, and how often to judge it.
Automatic investigation
When something looks abnormal, AI digs into the real data to trace the cause, and records its conclusion and evidence.
Project memory
Facts found in investigations and business context are recorded and used in every later judgment and investigation.
Ask your database
without logging into it.
It uses the same read-only connection as monitoring, and every step of each question is kept on record.