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, delivered to your team before anyone has to ask.
The role today
A dashboard full of charts gives an honest answer only to someone who already knows which chart to check and how to tell a meaningful shift from normal noise, which in practice means one or two people on a team actually look at analytics regularly while everyone else waits for a summary that may or may not arrive. The numbers are usually all there, traffic, conversion, cost per result, but 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, which 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 takes over
The agent reads your analytics and warehouse data through a guarded, read-only layer and turns it into a plain-language report on a schedule your team sets: what changed, by how much, and a plausible read on why, tied 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, and it flags clearly when a number is built on too small or too noisy a sample to read with any confidence, rather than narrating a shift that is actually just 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 did this metric trend over the last two quarters and get a coherent answer that accounts for the campaigns and changes that happened along the way, instead of staring at a chart and having to reconstruct the narrative behind it from memory or old emails nobody can find anymore.
What stays with humans
Deciding what to do about a reported change, setting the business goals the numbers get measured against, and any judgment call about a number that is genuinely ambiguous stay with your team. The agent reads the data correctly and explains it in plain language; people decide what the business does next.
Guards
The agent’s access is a guarded, read-only SQL layer limited to your approved data mart with forced limits and timeouts, the same pattern we use for our own analytics agents, so 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, and 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, narrated internally and checked against what your team already knows to be true before it 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 $4,100 | 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, competitor intelligence agent, ads optimizer agent inside the same Marketing & Content group, or with the narrower ad performance reporting, 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, and 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.