Choose the Data Home for an AI-Built Power App

Who This Is For

Use this if Copilot, Vibe, or another AI-assisted Power Apps experience has produced an app, plan, table proposal, or working demo, and now the uncomfortable question is:

• "Are these generated tables real enough?"
• "Can we use the SharePoint list we already have?"
• "Does this need Dataverse?"
• "What do I ask the Power Platform admin before I publish?"

You do not need to become a Dataverse architect. You do need to stop the demo from becoming a data promise by accident.

The Short Answer

Do not treat the first generated data model as the decision.

Keep the app Prototype only for now until you can name:

• the real source of truth;
• the real records, not just sample data;
• the relationships that matter;
• who can read, create, update, and own the records;
• the environment, licensing, sharing, and publish path.

Then choose one label:

The Data-Home Decision Guide

1. Is this still a prototype?

Use Prototype only for now when:

• generated tables have not been compared with real data;
• sample rows are standing in for business records;
• lookup fields, relationships, names, or ownership are unclear;
• the app has not been tested against real user tasks;
• Vibe preview limits, region availability, or environment prerequisites are still open;
• you would be embarrassed if someone treated the generated tables as the official source of truth.

Practical move: keep the AI output as a draft. Write down what must be checked before anyone calls it ready.

2. Is there an existing SharePoint or Microsoft Lists source of truth?

Use Use existing SharePoint/Microsoft Lists data when:

• the team already trusts a SharePoint list or Microsoft List as the current record store;
• the workflow is mostly one main list with simple lookup or reference needs;
• most users need similar access;
• list and site permissions are acceptable for the data;
• unsupported or converted SharePoint column types do not break the process;
• the app can live with the current Vibe boundary that SharePoint lists are read-only in that experience.

Practical move: keep the existing list as the source of truth, but map every AI-generated field to the real list before rebuilding screens or promising a release.

3. Did AI generate tables that should become Dataverse tables?

Use Use or create Dataverse tables intentionally when:

• the generated tables match the real workflow after review;
• the app needs one-to-many, many-to-one, or many-to-many relationships;
• row ownership, role-based access, or table privileges matter;
• the data should support Power Automate, Power BI, Dynamics 365, Power Pages, or other Power Platform work;
• the app needs a managed environment and lifecycle path beyond one maker's demo.

Practical move: decide which generated tables to keep, rename, rebuild, publish, or discard. Do not publish draft tables just because the screens look finished.

4. Are existing Dataverse tables involved?

Use Use existing Dataverse tables with manual/admin review when:

• the business already has Dataverse tables that should remain the source of truth;
• generated tables duplicate existing account, request, asset, case, contact, project, or transaction data;
• relationships between generated and existing tables are unclear;
• table access depends on security roles the maker does not own;
• chat-based editing cannot safely make the existing-table changes needed.

Practical move: name the existing table owner and relationship plan before you keep a generated parallel model.

5. Are there admin-only questions?

Use Pause for admin/licensing/security review when any of these are unresolved:

• premium licensing or Dataverse entitlement;
• production, developer, default, or test environment choice;
• DLP policy or connector grouping;
• guest or external user access;
• HR, finance, customer, regulated, or confidential data;
• role-based access, row ownership, or table privileges;
• audit, retention, backup, restore, or handover expectations;
• app sharing to groups, departments, or non-security groups;
• whether the AI/Vibe experience is enabled and available in the intended region and environment.

This label is not failure. It is the cleanest decision when the maker can see the risk but does not control the answer.

Compare Your Options

Decision Worksheet

Copy this into the app ticket, owner email, or review note.

App name:
Builder:
Business owner:
Decision date:
Current stage: idea / AI prototype / edited prototype / ready to publish / live rebuild

Field Mapping Template

Use this when the AI-generated model and existing data do not match.

Admin Questions To Ask Before Publishing

Take these questions to the app owner, Microsoft 365 admin, or Power Platform admin before a wider release:

• Does this app require Dataverse or premium Power Apps licensing for the intended users?
• Is the selected environment appropriate for production, testing, and handover?
• Are DLP policies affected by the data source or connectors?
• Who can create, update, and read the underlying tables or lists?
• If Dataverse is used, which security roles and table privileges apply?
• If SharePoint is used, do list or site permissions expose data outside the app UI?
• Are external users, guests, or non-security groups involved?
• Does the data include HR, finance, customer, regulated, or confidential records?
• Who owns ongoing maintenance if the generated model breaks or needs redesign?

Evidence Notes

Use Microsoft documentation to trust current product mechanics. Do not use it as proof that your tenant is licensed, secure, compliant, or production-ready.

• Vibe documentation supports the preview warning, the combined plan/data/app workspace, draft tables, explicit table publishing, and current limitations around existing tables and chat editing. Use that to slow down before publishing, not to ban experimentation.
• Copilot documentation supports that AI can generate Dataverse tables and relationships, and that makers review them before creating the app. It does not prove the generated model matches your real process.
• SharePoint/Vibe documentation supports using existing lists for quick app exploration, but also confirms current read-only behavior in Vibe and unsupported column conversions. If the app must write list items through the Vibe-built path, that is a review point.
• Dataverse relationship and security documentation supports using Dataverse as a review candidate when relationships, ownership, roles, and table privileges matter. It does not automatically approve a specific role model.
• The practitioner thread is only a warning signal: real makers can get stuck when generated tables, existing Dataverse tables, relationships, scaling, and maintenance collide. It is not a statistic and should not be treated as proof that every Vibe app fails.

Proof Boundary

This briefing can help you create a defensible data-home decision note for one AI-built Power App.

It cannot decide your tenant's licensing, procurement, DLP, compliance, security, data residency, environment strategy, backup, retention, or external-access policy. It also cannot prove that Vibe or Copilot behavior will stay the same, because the Vibe material is preview/pre-release and fast-changing.

Before publishing anything sensitive or business-critical, refresh the current Microsoft pages and take the decision worksheet to the app owner or Power Platform admin.