An analytics agent that
explains, not just charts
A dashboard full of charts answers a question only for someone who already knows which chart to look at and how to read the shift in it. We build an agent that turns the numbers into a plain-language report: what changed, why it likely changed, and what is actually worth a decision. It is delivered to your team before anyone has to ask.
Charts answer only the person who already knows where to look
A dashboard full of charts gives an honest answer only to someone who already knows which chart to check. That same person has to tell a meaningful shift from normal noise. In practice, that means one or two people on a team actually look at analytics regularly. Everyone else waits for a summary that may or may not arrive. The numbers are usually all there: traffic, conversion, cost per result. Turning them into “here is what changed and why it probably matters” takes someone sitting down, cross-referencing a few charts and writing it up. That rarely happens on a tight week, even though a tight week is exactly when the business most needs to know what changed.
What the agent writes, and what it answers on the spot
The agent reads your analytics and warehouse data through a guarded, read-only layer. It turns it into a plain-language report on a schedule your team sets: what changed, by how much, and a plausible read on why. That read ties to an actual event, a campaign change, a price update, a site issue, rather than a bare number with no context. It answers follow-up questions asked directly, in Telegram or wherever your team works, the way an analyst would if you could interrupt them mid-afternoon. It flags clearly when a number is built on too small or too noisy a sample to read with confidence. It will not narrate that noise as if it were a real trend.
Over time the narration itself becomes a record of the business’s story, not just a snapshot. A founder can ask how a metric trended over the last two quarters. The agent gives a coherent answer, one that accounts for the campaigns and changes along the way. Nobody has to reconstruct the story from memory or old emails they can no longer find.
What your team still decides
Deciding what to do about a reported change stays with your team. So does setting the business goals the numbers get measured against, and any judgment call about a number that is genuinely ambiguous. The agent reads the data correctly and explains it in plain language. People decide what the business does next.
How the agent is kept from overreaching
The agent’s access is a guarded, read-only SQL layer, limited to your approved data mart, with forced limits and timeouts. It is the same pattern we use for our own analytics agents. It can read and report but never write or change anything. A number with too small or noisy a sample is flagged as low-confidence rather than narrated as a confident finding. Every report is logged against the data it was built from, so a figure can be traced back and checked. A new data source or metric starts in a dry run. It gets narrated internally and checked against what your team already knows to be true, before it ever reaches a live report. If narration moves in-house, we hand over the read-only access pattern, the report templates and the full report history, documented for your own analyst.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $2,400 | Built, launched and supervised by us, plus a monthly support plan | 2 to 4 weeks |
| Full control, handover-ready | from $3,400 | Same agent, deployed on your infrastructure with full documentation to run it yourselves | 2 to 4 weeks plus 1 to 2 weeks for handover |
Running cost is usually $20 to $150 a month in model usage, depending on volume.
Related
See the full package breakdown on the AI agents service page and analytics, performance marketing. Pair this with market research agent and competitor intelligence agent inside the same Marketing & Content group, or ads optimizer agent for the spend side. For a narrower, single-process version, see ad performance reporting and ab test analysis automation. For real numbers, see analytics hub ai analyst two brands, ai media buyer meta ads.
Ready to put this to work on your team? Get in touch and we will map it against your current process on the first call.
FAQ
How much does a analytics narrator agent cost?
From $2,400 for a plain-language reporting layer over your existing analytics and warehouse, live in 2 to 4 weeks. Adding a conversational Telegram analyst that answers follow-up questions directly usually runs from $4,000.
How long does it take to go live?
Two to four weeks. The first two connect to your data and tune the narration against numbers your team already knows the real story behind. The rest adds the ability to answer a follow-up question asked directly rather than only running on a schedule.
Which channels and tools does it work with?
It reads from your existing analytics (GA4, a product analytics tool) and warehouse, and delivers to Telegram, email or a shared doc, whichever your team actually checks regularly.
What if it gets something wrong?
A number built on a small or noisy sample is flagged as low-confidence rather than narrated as a confident trend. The agent's database access is a guarded, read-only layer limited to your approved data mart, so it cannot change anything, only read and report.
What about our data and security?
Your warehouse and analytics access stay on your own accounts, with a read-only role specifically for this agent. Nothing it reports is shared outside your own team's reporting channel.