Why not a BI tool, ChatGPT or Claude?
A BI tool is accurate but makes you wait for a report. A chat assistant is fast but works from what you give it, without your definitions or rules. WiiFlo answers in seconds from your live data, with your definitions and access rules, and checks every number.
- New question
- Wait for a report
- Right number
- Yes
- Proof
- Ask the author
WiiFloRight, in secondsRiverside: $9.8K last week, down 14.2%. The other shops are within 10%.
- New question
- Seconds
- Right number
- Checked
- Proof
- The query
Riverside’s sales were about $11,240 last week, up 4% on the week before, driven by strong coffee sales.
- New question
- Seconds
- Right number
- Not checked
- Your rules
- None kept
Every number comes with its proof.
WiiFlo answers by querying your data, then checks every figure it writes against the results. Anything it can’t back up is left out, not guessed. Open the query behind any answer.
- ChatGPT or Claude don’t check the figures they write against your data.
- BI tools are right, but only for questions someone built a report for.
SELECT shop, SUM(net_amount) AS sales FROM Orders JOIN Shops USING (shop_id) WHERE status NOT IN ('Cancelled', 'Test') AND order_date >= last week GROUP BY shop
“Sales” means the same thing, every time.
Define a metric once, with the rows it leaves out and the other words people use for it. Every answer, dashboard and schedule then calculates it exactly that way, whoever asks.
- ChatGPT or Claude don’t keep your definitions; you explain them again.
- BI tools need an analyst to model it first.
Sum of net amountEveryone sees only what they’re allowed to.
Row and column rules are applied before the AI sees anything. The same question gives each person the answer for their own data, in the app, in chat apps and in scheduled reports.
- ChatGPT or Claude show an uploaded file to whoever has the chat.
- BI tools need the rules modelled before anyone can ask.
- MayaHead of financeAll shops$71.2K
- JordanAirport managerAirport$12.4K
- SamRiverside managerRiverside$9.8K
One answer becomes the report, the deck and the plan.
Turn an answer into a dashboard, a written report, a deck or a plan, all with the same checked numbers. Filters re-run on the real data, you can edit by hand, and every change is a new version. Export to PDF, PowerPoint or Excel.
- BI tools build dashboards; the written report is still yours to do.
- ChatGPT or Claude write documents that don’t refresh with your data.
- Riverside dashboardFilters re-run on live data
- Q4 shop reviewPowerPoint
- October reportPDF
- Win back morningsPlan
Everyone gets their own report, on time.
Schedule a report once. Each person gets it with their own data, by email, Slack or Telegram, and an alert arrives when a number crosses the line you set.
- ChatGPT or Claude run scheduled prompts, not alerts on your numbers.
- Spreadsheets need someone to send them every week.
- MayaEmail · PDFAll shops$71.2K
- JordanSlackAirport$12.4K
- SamTelegramRiverside$9.8K
The outside world and your team, next to your numbers.
Ask how the market moved and WiiFlo searches the web, then puts the findings beside your own figures. Discuss any number with comments pinned to it, and ask @WiiFlo right in the thread.
- BI tools don’t search the web.
- ChatGPT or Claude search the web, but not alongside your definitions and rules.
Coffee prices in the city rose about 6% this year. Your average order rose 2%, so Riverside is now below nearby cafés.
When WiiFlo isn’t the right choice. Some teams are better served by another kind of tool.
You work in Python or notebooks
WiiFlo answers with SQL you can open. Julius or Querio fit analysts who write code.You must self-host or want open source
WiiFlo is a hosted service. Metabase is open source; Tableau and ThoughtSpot offer self-hosted editions.You want analytics inside your own product
WiiFlo doesn’t embed. Power BI, Tableau, Metabase, ThoughtSpot and Querio do.You need answers in Microsoft Teams today
WiiFlo works in Slack and Telegram; Teams isn’t available yet.Compare with a specific tool.
Side by side on fourteen points, from each tool’s own documentation, including where the other tool is stronger.
See it on your own data.
Ask the questions you ask every week, and compare for yourself.
