A spreadsheet becomes an infographic,
styled on brand, not built chart by chart
A dataset worth sharing, quarterly numbers, survey results, a research finding, usually stays a spreadsheet because turning it into a shareable infographic means a designer's time that is rarely free when the data is ready. We build an agent that takes the data, picks sensible chart types for what it actually shows, and lays it out as a styled, on-brand infographic ready for a final human check.
The process today
A dataset worth sharing gets finished, quarterly results, survey findings, a research summary, and the gap between having that data and having something shareable from it is a designer’s time, which competes with every other design request and usually means the infographic either never gets made or gets made weeks after the data was fresh enough to matter.
The second cost is chart choice: a designer without deep familiarity with the dataset sometimes picks a visually appealing chart type that does not actually represent the data well, a pie chart for something that should be a trend line, which looks fine but tells the wrong story.
The third is the repeat cost for data that gets released on a schedule, a monthly metric, a recurring survey, where the same design work has to happen again each cycle instead of the process getting faster over time.
None of this shows up as one dramatic failure. It shows up as a steady drag: infographics from data work that should take minutes stretching into a backlog item, a quality bar that holds on a quiet week and slips on a busy one, and a team that knows the fix is mechanical but never has a free afternoon to build it themselves.
What the agent does
The agent takes a dataset, a spreadsheet, a dashboard export, a survey result set, and picks chart types matched to what the data actually shows, a trend as a line, a comparison as a bar chart, a share of total as a simple breakdown, rather than a one-size style regardless of fit. It lays the result out in your brand’s visual style, colors, fonts, logo placement, and labels every figure with its source so the infographic stays honest about where the numbers came from.
For data that gets released on a recurring schedule, it can connect to the live dashboard or data source and regenerate the infographic automatically each cycle, which is where the real time savings compound, since the design work does not restart 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 needs to match.
What stays with humans
Final review before publishing checks both the visual choices and that every number traces back correctly to the source data, since a misleading chart does real reputational damage even if it was an honest layout mistake. Any editorial framing, the headline or takeaway the infographic is built to communicate, is set by your team, not inferred independently by the agent.
Guards
Every number on a generated infographic is checked against the source dataset before the human review step, so a labeling or rounding error gets caught before publishing rather than after. Chart type selection follows documented rules for matching visualization to data shape, not a stylistic preference that could misrepresent what the numbers actually show.
Before it runs unattended, we run a side-by-side dry run against a sample of your own infographics from data material so your team can see exactly what it would have done. 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, and the running-cost estimate below is a starting budget you set, with an alert built in before it is 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 as well as a standalone graphic, and with dashboard commentary for the narrative that usually accompanies 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 just 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 actually shows, a trend over time as a line, a comparison as a bar, a share of total as a simple breakdown, rather than defaulting to one style regardless of fit.
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, generating a fresh infographic each cycle without rebuilding the pipeline each time.
Does a person check it before it publishes?
Yes, by default, since a misleading chart, even an accidental one, is a bigger risk than a slow one, and every number is checked against source data before the 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.