Your dashboard shouldn’t bewhere the work stops.
Operational apps on your governed data.
Describe the workflow in plain English, and Knowi builds the app your team does the job in, running live on the data you already trust.
Watch the whole loop get built.
A store manager app, from the datasets already in Knowi through to a live URL: the data, the sign-in, the database, and a button that emails the summary out.
3 min 02 · Knowi Apps, a walkthrough
BI takes you to insight.Apps take you to outcomes.
A customer success manager already knows which accounts look shaky. What they want is the reason, the history, and a way to act on it in the same place. Build that.
Which accounts need attention, and what to do about it
Usage, tickets and contracts pulled together, with the risk score, why Knowi thinks it slipped, what happened last time, who owns it, and the save play. One screen instead of five tabs.
The change worth making, with the numbers behind it
The app works out what should change and shows its working: what is underperforming, by how much, and what moving the money would do. Somebody approves it, the app makes the change, and it records who decided.
Failed payments, with an owner and a next step
The customer, the payment history, who picked it up and what they tried. Regional teams work the list rather than read a report about it.
A secure place for your customers, on your domain
Their reports and documents, plus whatever they need to submit or approve. They sign in as themselves, on your domain, and see only their own.
What is actually happening underneath.
Any AI can write you an app in an afternoon. Then it needs data: connections into five systems, joins that hold up, credentials someone has to own, and rules about who sees which rows.
Knowi already runs that part.
The data
SQL, NoSQL, APIs, SaaS, documents. Knowi queries them where they sit and joins across them, so nothing gets copied into a warehouse first.
The business logic
The metrics and definitions your team already argued over once. An app counts revenue the same way your reports count it.
The intelligence
Anomaly detection, explanations, monitoring. The analysis runs inside the app instead of in a separate tool your team has to go and open.
The access rules
Sign-in is set per app. Row-level rules follow the user, and an app can only reach the datasets you pointed it at.
The actions
Update a record. Trigger an outreach. Call another system. Because “View details” can only get you so far.
The memory
Notes, statuses, approvals. Whatever people enter while they work stays in the app, so next week somebody can see what was done.
And the source is yours
Every app gets its own Git repository, ours or one of yours. Your engineers can clone it, change it with the tools they already use, and push it back live. Take the whole thing in-house whenever you want to.
You describe it and we build it. No technical expertise required.
Nothing gets ripped out.
Your app runs on the Knowi data layer, with permissions and governance already attached to it. The systems underneath stay exactly where they are. No duplicate data, no new pipeline to feed it, no second access layer for someone to maintain.
Apps are not what happens after the dashboard. They are the whole idea, from the data to actions.
Describe the workflow. We build the app.
Tell us the job
Who the app is for, what they need to see and understand, and what they need to do.
Action: launch save play
We wire it up
Knowi binds the app to the datasets you approved, carries their rules across, and wires up whichever system owns the next step.
joined, no new pipeline
You kick the tires
You see the working app before it goes live. Tell us what to change.
Put it to work
Publish the version you are happy with and give your team access. Every release stays listed, so rolling back is picking an earlier one.
The data, the insight and the action, all live in the same place.
What does your team do afterthe report says something is wrong?
If the answer involves three other systems, a spreadsheet and good intentions, that is the app. Tell us the workflow and we’ll show you what it looks like as one.