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Versus
BI tools
Keeps
Your dashboards
Takes
The backlog

Keep your BI tools. Hand the backlog to aidnn.

Tableau, Power BI and Looker are good at dashboards. aidnn takes what never fits in one: the follow-up, the new workflow, the app request. Every answer comes with its receipt.

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Where aidnn sits next to BI
  1. 01Where the work is usedBI tools · apps · APIs
  2. 02aidnnanswers · builds · proves · serves
  3. 03Your data, where it livesSnowflake · SAP · Salesforce

At a glance

Five jobs your BI backlog is made of.

Pick a tool. Each row is a request your team gets every week.

The jobaidnnTableauPower BILooker
Answer the follow-upAnswered in the meeting. Nobody files a ticket.
Ask in the view you're in
Modeled metrics onlyCopilot capacity and setupWithin one Explore
Ship a new workflowAgents do the build. Your team reviews and releases.
Agents build it
Extensions or flowsFabric and Power AppsLookML and extensions
Prove the answer is rightYou can sign off, because you can see the source.
Verified, with lineage
Author reviewCertified modelsGoverned definitions
Serve it everywhereOne build, one fix, every surface.
One release, any app
Embedded dashboardsEmbedded reportsSemantic layer API
Save the what-ifEveryone works from the same saved plan.
Save, share and discuss
Parameters, no saved plansWriteback setup and storageActions and custom storage

Proof

A Fortune 100 company, four weeks in.

Raw planning, actuals and purchase-order data, with no harmonization first. aidnn found uncaptured vendor rebates and trapped budget.

$12M+Surfaced in the first four weeks
1,400+Cost centers reconciled
6 → 1Weeks to reconcile, manual to automated
MonthlyReforecast, up from quarterly

Questions

What data leaders ask us.

Do we have to replace Tableau, Power BI or Looker?

No. Keep the dashboards your business relies on. aidnn takes the follow-ups, new workflows and app requests that would otherwise land in your team's queue.

Will agents replace my data team?

No. Agents take the repetitive build work. Your team sets the rules, reviews what agents build and decides what ships.

How do you check an AI answer before people rely on it?

Every data app is verified before release, and each answer carries its lineage back to the rows behind it.

Does our data need to be modernized first?

No. aidnn works on raw data in the platform you already chose. It can also check a migration as it happens, comparing the old and new stacks transaction by transaction.

Where does our data go?

Nowhere new. Deploy aidnn in your VPC, on-prem or in your private cloud, with the access rules you already have.

What is aidnn, technically?

The data infrastructure and execution layer for agents. Agents build data apps in notebooks, aidnn verifies them, and each release is served to dashboards, apps, agents and APIs.

Next step

Your dashboards stay. The queue doesn't.

aidnn runs on the warehouse and systems you already have. Everything your agents build and learn stays with you.

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