Spreadsheets That Build Their Own Columns
Describe what you're tracking and the sheet builds its own columns. Paste in data, share it with the team, and ask questions in plain English — answers come from your actual rows, not guesses.
What AI Sheets Helps You Do
Six everyday capabilities — without leaving MangoApps for a separate spreadsheet tool.
Generate Columns From A Prompt
Describe what you want to track in plain English. The AI proposes a column schema — types, labels, dropdown choices — that you can adjust before the sheet is created.
Paste, Type, Or Import
Paste rows from anywhere, type directly into the grid, or import CSV. The Handsontable grid handles thousands of rows without lag.
Typed Cells
Number, currency, date, email, URL and dropdown columns check every value. The grid refuses one that doesn't fit the column at the cell, not after a save.
Share Internally Or Publicly
Share with internal teammates as viewers or editors — sharing covers the whole sheet, every row and column. Public links (admin-controlled) let you publish a sheet to anyone with the URL.
Export Anywhere
Export to CSV or Excel. The sheet stays canonical inside MangoApps; the export is a snapshot.
Ask Questions Of The Data
The AI Sheets Agent in Ask AI answers natural-language questions grounded in actual rows. No hallucinated totals; no invented columns.
Three Ways AI Sheets Earns Its Place
Why teams build sheets inside MangoApps instead of opening another Google Sheets tab.
AI-First Schema Design
AI Sheets starts with a single question — "what are you tracking?" — and proposes the schema. Columns, types, labels and dropdown choices are all suggested before you create the sheet.
- Describe your sheet — "track support tickets with customer, priority, owner, status, resolved-at".
- Review proposed schema — types, labels, dropdown choices — adjust before creation.
- Refine as you go — add columns by describing them; the AI fills in the schema.
- Bring your own data — paste rows, import CSV, or start from scratch.
Sheets That Stay Inside The Workspace
A spreadsheet that lives inside the same tenant as your news feed, wikis, and projects is searchable from the same place, governed by the same permissions.
- Business-scoped — every row, share, and public link is tenant-isolated.
- Indexed for search — sheet names, descriptions and tab names surface in search.
- Sheet-level sharing — an owner, editors and viewers; everyone a sheet is shared with sees all of its rows and columns.
- Autosave + history — every cell edit saves as you type and lands in Version History with its old and new value.
Grounded AI Q&A
AI Sheets' agent reads the actual rows, returns the column schema and paginated data, and answers questions only from what's there. Grounded answers, not hallucinated totals.
- Reads freely, writes with confirmation — discovery, schema, rows, search and ask; creating sheets and changing rows or columns each ask first.
- Confirmation-gated writes — the agent can't quietly create a sheet or change a row without your OK, and row edits can be undone.
- Permission-aware — the agent sees only the sheets the user can already open.
- Grounded answers — every quantitative claim ties to a row.
AI Sheets In Practice
A practical scope check: what the app covers, which controls matter, and the workflows teams usually run first.
Core workflow
Create a spreadsheet in seconds (no setup or templates required), and add tabs to the same sheet when one grid isn't enough.
Controls that matter
AI Features includes AI column schema generation from a prompt and AI Actions on rows / columns / selections.
Scope and specs
Useful specs: Default row limit: 5,000 per tab (admin-configurable); Max CSV or Excel upload: 10 MB; Google Sheets import timeout: 30 seconds.
Shift coverage tracker
Track open shifts, coverage status, and follow-ups in one shareable grid.
Onboarding checklist
Assign owners, due dates, and status for every onboarding task.
Safety inspections log
Capture inspection findings, severity, and remediation progress.
Connected To The Rest Of MangoApps
→ Every CSV export
Any CSV export or report in MangoApps — time and attendance, asset inventory, OKR and headcount reports — can open in a new sheet with one click, as a snapshot.
→ AI Search
Sheet names, descriptions and tab names are searchable alongside wikis, posts, and files.
→ Workspace
Export a Workspace portfolio report straight into a new sheet to slice, chart, and ask questions of it.
→ Database
For structured app-like data with relations, graduate from a sheet to a Database. AI Sheets is the lightweight starting point.
→ Forms
Forms can write submissions into a Sheet. Capture data on a form, see it in a grid.
→ Tasks
Track a list of tasks as a sheet when the structure is light. Move to Tasks when the work needs owners, due dates, and full task management.
REPLACES POINT TOOLS
One spreadsheet in place of "Google Sheets + ChatGPT + glue"
Teams use Google Sheets for the data, ChatGPT for the enrichment, and Zaps to move output back into the workflow. AI Sheets does all three in one workspace — with platform identity, audit, and workflow attached.
Google Sheets + ChatGPT
The DIY enrich-with-AI workflow
- AI columns are first-class — no copy/paste loop, no "did I forget a row?" drift
- AI requests go to the platform's configured model providers; nothing trains a third-party model
- Automation rules notify people, send email, update rows or call a webhook — no Zap to maintain
Excel + Microsoft Copilot
AI bolted onto a desktop spreadsheet
- Works for the roughly 70–80% of your workforce without an M365 Copilot license
- Lives in the same app the team already uses for chat, tasks, and workspaces
- Sharing is managed in the sheet itself, and its changes land in its Activity Log — not a OneDrive folder
Rows.com
Spreadsheet built around AI columns and live data
- The same per-employee license that covers AI Sheets also covers 100+ other apps
- Sheet data is queryable by every other agent in the platform, not a sealed product
- Identity, audit, and retention are inherited — not vendor-specific add-ons
Bricks
AI-first spreadsheet alternative
- Lives inside the platform the team already opens — no new tab, no new login
- AI enrichment, summaries, and Q&A are all governed by the same model tiering
- Rules that notify, email, update rows and call webhooks come built in
Causal
Modeling and forecasting spreadsheet
- The same sheet runs operational data AND AI enrichment — no separate modeling app
- Lightweight; no per-model license; no learning curve beyond Google Sheets
- Output composes with the rest of the workflow stack instead of staying analyst-only
PLATFORM ADVANTAGE
AI Sheets inherits everything else MangoApps already does
A standalone AI-spreadsheet has to build, buy, or integrate each of these. AI Sheets gets them for free because the platform already runs them.
Identity & SSO
Sheets are owned by authenticated users with the same SSO/MFA every other app uses — no separate "spreadsheet workspace" provisioning.
Sheet sharing
A sheet is shared with named people as viewers or editors, or published on a public link only when an admin allows it. Sharing covers the whole sheet.
AI model tiering
AI columns run on the model tiers the platform assigns, like the rest of the platform — no per-app model wiring.
Activity & version history
Imports, exports, sharing changes and AI runs land in each sheet's Activity Log, and every cell edit in its Version History with the old and new value.
Rules & automation
A row change or a schedule can notify people, send an email, update fields, add a row or call a webhook — no glue script.
Forms & exports
Form submissions arrive as rows on their own, and any CSV export in MangoApps opens as a new sheet in one click.
INDUSTRY FIT
Built for the teams that run their ops on a spreadsheet
AI Sheets is the live-data workbench for organizations where a Google Sheet was already the system of record — and the enrichment, follow-up, and reporting kept falling off the edge.
Operations & RevOps
Pipeline cleanup, lead enrichment, and cross-system reconciliation all run in one sheet with AI columns instead of nightly scripts.
Marketing
Campaign briefs, content calendars, and landing-page A/B inputs all enriched with AI columns in one shared sheet.
Sales & GTM
Account research, account-tiering, and outbound prep enriched in sheets the AE already maintains — with a webhook rule to send rows onward.
Finance & Procurement
Invoice reconciliation, vendor enrichment, and accruals run on a sheet that answers totals exactly, computed over every row.
HR & People Ops
Headcount planning and role-mapping in sheets shared only with the people who may see them — sharing is per sheet, so pay data lives in a sheet of its own, and Hide from AI keeps a column out of every AI answer.
Customer Success
Account health snapshots, QBR data prep, and renewal-readiness enrichment all live in one sheet, with scheduled digests and anomaly alerts.
WHY MANGOAPPS WINS
One platform beats a stack of point solutions on every axis
The argument finance, security, IT, and the operator all share — and the one a standalone AI-spreadsheet structurally cannot answer.
Cheaper than the stack
One per-employee suite license replaces Sheets + ChatGPT Plus + Rows + Zapier glue — and the bill stops growing per row processed.
More secure
AI enrichment runs through the platform's configured model providers under your tenant's permissions, not a public chatbot a contractor pasted PII into.
Easier to deploy
Already deployed if you have MangoApps. Create a sheet, add an AI column, run a workflow — same day, no IT ticket.
Easier to use
Google-Sheets-simple keyboard model. AI columns are configured inline; no separate "prompt engineering" surface to learn.
Easier to manage
AI model cost, sharing, and retention controlled from the same admin as the rest of MangoApps — no vendor-specific surface.
Easier to extend
A row change can notify people, send an email, update fields, add a row or call any webhook — and the Ask AI agent reads and edits sheets from chat.
AI is actually better
The AI Sheets Agent answers grounded questions against real sheet data with permission-aware scope — and never invents columns or totals.
Pair AI Sheets With Its Agent
The agent answers grounded questions against real sheet data — and never invents columns or totals.
AI Sheets
Find sheets, read schemas, ask natural-language questions against the rows.
Customer Success
How Teams Use AI Sheets
Frequently Asked Questions
AI Sheets isn't trying to replace a full general-purpose spreadsheet — it's the fast, tenant-scoped grid for the data that belongs inside MangoApps. AI-generated column schemas, a grounded Q&A agent, and a permission model that matches the rest of the workspace mean a sheet doesn't have to leave the tenant to be useful.
Default cap is 5,000 rows per tab (configurable from 100 to 50,000), and a sheet can hold several tabs. The Handsontable grid handles that comfortably with autosave on every change.
Computed columns and validation are supported. The focus is on AI-generated column schemas and grounded Q&A — for heavy formula-driven modeling, Google Sheets or Excel remain the right tool.
Yes, when the public-links config is on. Admins control whether public sharing is enabled tenant-wide; each sheet's public link is opt-in per sheet.
The agent's read tools list sheets, read the schema, page through rows, search and ask; its write tools — creating sheets and tabs, changing rows and columns — each ask for confirmation first. The agent answers questions from rows it has actually retrieved — totals come from the data, not from a guess. See the agent page.
Yes. Paste rows directly into the grid, or import a CSV. Export is supported to CSV and Excel.
AI Sheets is the lightweight, sheet-first surface. The Database app is the structured-app surface — typed columns, relations, views, role-scoped record access. Use AI Sheets when a flat grid is enough; graduate to Database when relationships matter.
Sheet names, descriptions and tab names are searchable. Row-level content is not in the platform-wide search index — that's what the AI Sheets Agent's per-sheet retrieval is for.
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Prefer to explore first? Ask AI about AI-Powered Spreadsheets for Data Analysis →