An AI data analyst agent that compiles your reports and flags what changed.
A custom agent that pulls from your warehouse and tools, assembles recurring KPI, exec, and board reports on schedule, flags anomalies in plain language, and answers follow-up questions, with a human gate on anything that ships. Here is what it does, where it beats a dashboard, and the one case where a BI product is the better buy.
An AI data analyst agent is software that uses a large language model to query your data warehouse and connected tools, compile recurring reports and company health-checks, surface anomalies and answer questions in natural language, and route its output to a human for approval before it ships.
Bring one messy workflow. We will show whether an agent, automation, SaaS product, or no build is the right next move.
What a data analyst agent does that a dashboard doesn't
A dashboard shows you numbers and waits. An agent reads them. It queries the warehouse, notices that churn ticked up in one segment, writes the sentence explaining it, and asks whether to flag it to the team. It produces the narrative an analyst would, on schedule, not just the chart.
- Dashboard: static charts you interpret yourself
- Agent: queries, explains, and drafts the takeaway
- Runs on a schedule, not on someone remembering
How it compiles a recurring report
The agent connects to your warehouse and the tools that hold the rest of the truth: the CRM, billing, product analytics, finance. On a schedule it pulls the metrics, compares them to prior periods and targets, writes the commentary, and assembles the report in your format. A person reviews and approves before it goes to the board or the exec list.
- Reads from warehouse plus CRM, billing, analytics
- Compares to prior periods, targets, and forecasts
- Drafts the report in your template and tone
Anomaly flags and natural-language Q&A
Between scheduled reports the agent watches the same metrics and flags movement that breaks the pattern: a spike in refunds, a region that fell off, a cohort behaving oddly. Anyone can ask it a question in plain English, "why did MRR dip in March," and get an answer grounded in the actual data, with the query it ran shown.
- Flags anomalies against baseline, not fixed rules
- Answers ad-hoc questions in natural language
- Shows the query and source behind every answer
Low confidence, policy exception, or protected data.
When an off-the-shelf BI tool is the better buy
If your need is self-serve dashboards, ad-hoc exploration, and pixel-perfect visualizations for a broad set of users, buy a BI product. Looker, Power BI, Tableau, and similar tools are mature, cheaper than a custom build for that job, and your team already knows them. A custom agent earns its cost only when you need automated narrative, anomaly detection, and reports compiled and written for you, not just displayed.
- Buy BI for self-serve dashboards and exploration
- Buy BI when you need broad, governed visualization
- Build an agent when you need written, automated reporting
p95 latency 1.2s
eval pass 12/12
rollback ready
The human gate, and who owns it
Nothing reaches a board deck or an investor update unreviewed. The agent drafts, a person approves, and every number traces back to the query that produced it. We build it into your stack with that gate, evals on the metrics that matter, and full audit trails. You own the code and can run it without us.
- Human approval before any report ships
- Every figure traceable to its source query
- Deployed in your cloud, you own the code
Access your auth
Data your environment
Ops monitor or handoff
Concrete places agents earn their keep.
Policy matched. Refund ready for approval.
Weekly KPI report
Pulls the core metrics, compares to last week and target, and writes the what-changed-and-why for the leadership channel.
Monthly board pack
Assembles the recurring board metrics and commentary into your template, ready for a human to review and finalize.
account score
Exec daily digest
A short morning brief: yesterday's numbers, anything off-pattern, and the one thing worth looking at, in plain language.
Company health-check
A periodic scan across revenue, retention, pipeline, and ops that surfaces where the business is drifting from plan.
Anomaly alert
Flags a refund spike, a churned key account, or a metric breaking its baseline the moment it shows up, not at month-end.
Ask-the-data Q&A
Answers "why did signups drop in the EU last week" in natural language, grounded in the warehouse, with the query shown.
Common questions.
What is an AI data analyst agent?+
How is this different from a BI tool like Tableau or Power BI?+
Will it just make up numbers?+
What can it connect to?+
Do we still need analysts?+
How long until a first report is running?+
Want agents like these in your stack?
Book a free assessment, we'll map where an AI agent creates real leverage in your workflows and scope the first one to ship.