A spreadsheet becomes an infographic,
styled on brand, not built chart by chart
Quarterly numbers, survey results, a research finding. Good data worth sharing usually stays a spreadsheet. Turning it into an infographic takes a designer's time, and that time is rarely free when the data is fresh. We build an agent that takes the data and picks a chart type that fits what it shows. It lays the result out as a styled, on-brand infographic, ready for a final human check.
Why the data sits in a spreadsheet
Good data gets finished: quarterly results, survey findings, a research summary. Then it sits in a spreadsheet, because turning it into something shareable takes a designer’s time. That time competes with every other design request on the list. The infographic either never gets made, or it gets made weeks after the data stopped being fresh.
There is a second cost beyond the wait: chart choice. A designer without deep familiarity with the dataset sometimes picks a chart type that looks good but tells the wrong story. A pie chart, say, for something that should be a trend line.
And there is a repeat cost. Data that comes out on a schedule, a monthly metric, a recurring survey, means the same design work happens again every cycle. It never gets faster on its own.
None of this is one dramatic failure. It is a steady drag: work that should take minutes turns into a backlog item. Quality holds on a quiet week and slips on a busy one. Your team knows the fix is mechanical, but never has a free afternoon to build it.
How the agent turns numbers into a graphic
The agent takes your dataset, a spreadsheet, a dashboard export, a survey result set. It picks a chart type that matches what the data actually shows. A trend becomes a line, a comparison becomes a bar chart, a share of total becomes a simple breakdown. It does not force one style onto every dataset.
It lays the result out in your brand’s visual style: your colors, fonts, logo placement. It labels every figure with its source, so the infographic stays honest about where the numbers came from.
For data released on a recurring schedule, it connects to the live dashboard or data source and regenerates the infographic each cycle on its own. That is where the real time savings add up, because the design work stops restarting from zero every month or quarter.
Typical integrations: your analytics dashboard, spreadsheet or data warehouse as the source, and your brand asset library for the visual style every export has to match.
What your team still signs off on
Someone on your side reviews the draft before it goes out. That review checks the visual choices and confirms every number traces back correctly to the source data. A misleading chart does real reputational damage, even when the mistake was an honest layout slip, not a deliberate spin.
The editorial framing, the headline or takeaway the infographic is built to communicate, is your call. The agent does not infer that on its own.
How we keep the numbers honest
Every number on a generated infographic gets checked against the source dataset before the human review step. A labeling or rounding error gets caught before publishing, not after. Chart type selection follows documented rules for matching a visualization to the shape of the data. It is not a stylistic preference that could misrepresent what the numbers show.
Before the agent runs unattended, we test it side by side against a sample of your own material. Your team sees exactly what it would have done, before it does it live. Every build ships with a short written runbook, so your team can pause it, adjust a threshold, or roll it back without waiting on us. The running-cost estimate below is a starting budget you set, with an alert before it gets crossed.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $600 | Chart type selection matched to what the data actually shows | 4 to 9 days |
| Department package | from $2,500 | infographics, slide decks and dashboard commentary across your analytics and marketing team | 2 to 4 weeks |
Running cost is usually $10 to $80 a month in model usage depending on volume, with a budget cap set before launch.
Related
Pair this with slide decks from documents when the same data needs to live in a presentation too. Add dashboard commentary for the narrative that usually goes with a data release. For survey-specific data, see survey analysis. The full package breakdown is on the AI agents service page and the analytics service page. For a real build of a data-heavy visual product, see the two-brand analytics hub case study and the archaeological atlas case study.
Ready to turn your next data release into something shareable? Get in touch and we will run a real dataset through it in the first call.
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 infographic automation cost?
from $600 to set up the pipeline against your brand style and a typical data source, live in 4 to 9 days.
Does it choose the right chart type on its own?
Yes. It matches chart type to what the data shows. A trend over time becomes a line, a comparison a bar, a share of total a simple breakdown. It never defaults to one style no matter the data.
Can it work from a live dashboard, not just a static file?
Yes. It can pull from a connected dashboard or data source for recurring releases. Each cycle gets a fresh infographic without rebuilding the pipeline.
Does a person check it before it publishes?
Yes, by default. A misleading chart is a bigger risk than a slow one, even when the mistake was honest. Every number gets checked against the source data before that review step.
What formats does it export for?
Social-ready square and vertical formats, a print-ready version, and a format that drops cleanly into a report or deck, generated from the same underlying data.