Spreadsheet formula and macro repair console

For

Finance and operations teams maintaining spreadsheet models and Office macros

Solves

Broken formulas and undocumented VBA macros stall reporting and force manual rework.

Delivers

Reviewer-approved formulas and VBA code linked to the cells they change

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce spreadsheet repair time while keeping every change reviewable.

1. Accept plain-language instructions for formulas and macros.
2. Generate spreadsheet formulas from descriptions.
3. Generate VBA code for Excel and Office automation.
4. Edit and copy existing formulas for reuse.
5. Detect formula errors and suggest corrections.
6. Explain formulas step by step.
7. Suggest more efficient and readable formula forms.
8. Support Excel and Google Sheets syntax.
9. Run in a browser without installation.
10. Offer a free tier for basic tasks.
11. Use an updated AI backend for faster results.
12. Serve users without programming skills.
13. Cover wider Office automation tasks.
14. Provide a clean interface for quick code creation.
15. Clean missing values, duplicates and formatting issues.
16. Generate charts and graphs from selected data.
17. Process computations locally in the browser.
18. Analyze multiple Excel and CSV files together.
19. Export processed data and charts for sharing.
20. Compare the reviewed result with the recorded baseline and value assumptions.
21. Capture corrections and named-owner approval before consequential use.
22. Export a versioned reviewer-approved formula and macro set with source references and unresolved questions.

Everything these tools do, in one app

• Natural language input Allows users to describe what they want in plain language instead of writing code or formulas.Found in ExcelBot, VBA Code Generator, Formula God and 1 more
• Formula generation Creates spreadsheet formulas automatically from user descriptions.Found in ExcelBot, Formula God
• VBA code generation Generates VBA code for automating tasks in Excel and other Office applications.Found in ExcelBot, VBA Code Generator
• Formula editing and copying Enables users to modify existing formulas and copy them for reuse.Found in ExcelBot
• Formula troubleshooting Identifies errors in formulas and suggests corrections.Found in Formula God
• Step-by-step explanations Provides clear explanations of how formulas work to help users learn.Found in Formula God
• Formula optimization Suggests improvements to make formulas more efficient and readable.Found in Formula God
• Multi-platform support Works with multiple spreadsheet platforms such as Excel and Google Sheets.Found in Formula God
• Web-based access Runs in a web browser without requiring installation.Found in ExcelBot
• Free usage tier Offers free access to basic features.Found in ExcelBot, VBA Code Generator
• Updated AI backend Uses an improved AI engine for faster and more accurate results.Found in ExcelBot
• No programming skills needed Designed for users without coding experience to create automation scripts.Found in VBA Code Generator
• Office automation support Handles a wide range of automation tasks across Excel and other Office applications.Found in VBA Code Generator
• User-friendly interface Provides a clean and straightforward interface for quick code creation.Found in VBA Code Generator
• Smart data cleaning Automatically handles missing values, duplicates, and formatting issues.Found in Excel Whisper
• Quick visualization Instantly generates charts and graphs to visualize data trends.Found in Excel Whisper
• Local processing Performs computations in the browser so data never leaves the user's device.Found in Excel Whisper
• Multi-file support Analyzes multiple Excel and CSV files simultaneously for comparison and consolidation.Found in Excel Whisper
• Export and share Allows downloading processed data and generated charts for sharing.Found in Excel Whisper

What goes in, what comes out

The workflow

1. In
   Start with

   Plain-language instructions, workbook files and existing formulas

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect plain-language instructions

4. 3

   Workbook files and existing formulas

5. 4

   Then follow this sequence: 1

6. Out
   Finish with

   Reviewer-approved formulas and VBA code linked to the cells they change

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One workbook format and licensed Office version; final accounting logic and macro safety checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Instruction and workbook intake, Editable formula and macro preview, Review and export. Use a workbook tree for sheets and modules, a large central editing canvas, and a right-hand panel for source cells, explanations and comments. Let users compare original and proposed formulas side by side. Display draft, changes requested and approved states. Provide a reviewer link with comments anchored to the relevant cell or macro line. Make the task-specific outcome reviewer-approved formulas and VBA code linked to the cells they change visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, workbook versions, reviewer comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Customer-owned workbooks, authorized CSV exports and permitted internal data sources. Cloud file storage, spreadsheet import/export and reporting destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: accept plain-language instructions for formulas and macros; generate spreadsheet formulas from descriptions. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will finance and operations teams maintaining spreadsheet models and Office macros use it to solve "broken formulas and undocumented VBA macros stall reporting and force manual rework"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted formula fixes per analyst hour and corrections after workbook release.
4. Measure, then decide. Track accepted formula fixes per analyst hour and corrections after workbook release; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One workbook format and licensed Office version; final accounting logic and macro safety checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept plain-language instructions for formulas and macros; generate spreadsheet formulas from descriptions. Support the third module with operator review: generate VBA code for Excel and Office automation. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved formulas and VBA code linked to the cells they change. Retain the explicit scope boundary: One workbook format and licensed Office version; final accounting logic and macro safety checks remain human.

What the build depends on. Workbook upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist finance QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One workbook format and licensed Office version; final accounting logic and macro safety checks remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined workbook package. Offer a monthly production allowance after repeat demand. Quote complex macro or multi-file work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved formula and macro set. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce spreadsheet repair time while keeping every change reviewable. Demonstrate a concrete reviewer-approved formula and macro set using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Finance and operations teams maintaining spreadsheet models and Office macros professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved formula and macro set from a small authorized input set, with a transparent calculation of accepted formula fixes per analyst hour and corrections after workbook release and no promised savings.

The first 30 days

1. Week 1: interview five finance and operations teams maintaining spreadsheet models and Office macros and inspect a recent example of broken formulas and undocumented VBA macros stall reporting and force manual rework.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted formula fixes per analyst hour and corrections after workbook release, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted formula fixes per analyst hour and corrections after workbook release. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted formula fixes per analyst hour and corrections after workbook release; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved formulas and VBA code linked to the cells they change. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved formula patterns, macro templates and review examples, together with reliable delivery for a narrow finance niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for finance and operations teams maintaining spreadsheet models and Office macros. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

ExcelBot, VBA Code Generator, Formula God and Excel Whisper, plus manual formula writing and internal macro developers. Compare this product with the buyer's present method on accepted formula fixes per analyst hour and corrections after workbook release. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, workbook processing, storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved formulas and VBA code linked to the cells they change. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve workbook integrity, source attribution, calculation accuracy and usage permissions. Named reviewers approve substantive changes and macro execution scope. One workbook format and licensed Office version; final accounting logic and macro safety checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.