Make recurring spreadsheet work
repeatable and reviewable.
Clean exports, compare files, classify records, prepare reports, and save reliable spreadsheet workflows without maintaining brittle scripts.
Works with Google Sheets · Preview before writing · No code requiredLoad the new export, normalize it, apply classifications, and refresh the reporting table.
1clean inputcomplete
2controlled processcomplete
3exception queueready
SheetSteps does the repetitive browser and spreadsheet work.
You stay in control of the decisions.
You start with rows in Google Sheets—usually URLs, records, or text. You tell SheetSteps what a useful finished row should contain. It tests the instruction on a small sample, shows the proposed columns, and only runs the larger job after you approve it.
The same rules applied every cycle
Rows needing a person made obvious
Useful summaries from reviewed data
What SheetSteps AI does
for this work.
These are real capabilities in the product, combined into a workflow for this profession.
Data cleaning
Normalize exports, categories, dates, currencies, and identifiers.
Workflow recipes
Save approved transformation rules for the next reporting cycle.
Batch jobs
Process clean rows while keeping exceptions in a separate review queue.
Workbook analysis
Compare versions and build summaries from reviewed data.
Start with the job
you already do.
You do not need to redesign your process around AI. Begin with one slow, repetitive part of the workflow and keep the result in a familiar spreadsheet.
Monthly reporting
Load the new export, normalize it, apply classifications, and refresh the reporting table.
Inventory operations
Clean supplier data, identify low stock, compare expected deliveries, and prepare reorder actions.
Vendor management
Combine public vendor facts with internal status, owner, renewal, and risk columns.
Workbook comparison
Find added, removed, and changed records between two versions of a spreadsheet.
What goes in.
What comes back.
Each step stays visible, so a teammate can understand the workflow without reverse-engineering a script.
- 1Input
- CSV export, workbook table, URLs, or mixed rows
- 2Transform
- Clean, map, classify, compare, calculate
- 3Control
- Preview, protected cells, row errors, approval
- 4Reuse
- Saved recipe for the next daily or monthly cycle
Your first useful workflow
in four understandable steps.
- 01
Describe the finished table
Show SheetSteps the input and name the clean output columns.
- 02
Write the rules plainly
Explain normalization, classification, and exception rules with examples.
- 03
Preview representative rows
Include normal, missing, and unusual records before starting the batch.
- 04
Save the approved process
Reuse the same workflow for the next export and focus on exceptions.
Start with a tested formula.
Turn it into a recipe when it works.
These SheetSteps AI templates are selected specifically for this Solution. Copy one into Google Sheets, customize it, or run it across a previewed batch.
Exception classifier
Route operational rows to the right queue.
=SHEETSTEPS_CLASSIFY(A2,"Ready, Missing data, Needs approval, Blocked")Record normalizer
Standardize inconsistent export values.
=SHEETSTEPS_AI(A2,"Normalize dates, currency, category, and owner. Return JSON.")Change summary
Explain what changed between two records.
=SHEETSTEPS_AI(A2&B2,"List material differences only.")Action extractor
Pull owner, due date, and next action from notes.
=SHEETSTEPS_EXTRACT(A2,"owner, due_date, next_action")Use a ready-made Sheet
as your starting point.
Copy a template, add your own rows, then use SheetSteps AI when you need to research, clean, analyze, or update the workbook.
Inventory Tracker
Know what is in stock, what is running low and what needs to be reordered.
Inventory value$4,238View free template →OperationsPurchase Order Tracker
Follow every purchase order from request through delivery and payment.
Open POs18View free template →Project managementProject Tracker
See owners, priorities, deadlines and progress across active projects.
Active7View free template →Small businessVendor Tracker
Vendor Tracker with a purpose-built vendor tracker entries tab, live totals and example rows for owners.
Records24View free template →Questions about
SheetSteps for Operations.
Clear answers about how the workflow works, what data it can use, and where a person remains in control.
Can SheetSteps replace spreadsheet macros?+
For many cleanup, classification, extraction, and repeat-reporting tasks, yes. A saved SheetSteps workflow is easier to review in plain language. Highly specialized interactive logic may still belong in Apps Script or another system.
Can it compare two spreadsheets?+
Yes. Match rows by a stable identifier, then create columns for added, removed, and changed values. Review ambiguous matches before accepting the comparison.
How are failed rows handled?+
Failures stay attached to the affected row with a clear status. Successful rows can finish while failed rows are retried or corrected separately.
Do I need to write code or know web scraping?+
No. Describe the information you need in ordinary language, select suggested fields, and test one example. Advanced users can still use selectors and more precise extraction rules when needed.
Will SheetSteps change my source spreadsheet automatically?+
No. SheetSteps shows a preview before writing results. You choose the destination columns, review a sample, and approve the run. Existing source cells remain protected unless you explicitly choose to update them.
Does SheetSteps work inside Google Sheets?+
Yes. The Google Sheets add-on can use selected cells as inputs, preview new columns, run larger jobs in the background, and write reviewed results back into the same workbook.
Put one real operations workflow
into SheetSteps AI.
Start with a small sample. Keep the output understandable. Scale only after the result looks right.
Automate an operations workflow →