AI app for it and development · no coding needed
Data migration preparation
Reviewable mappings and preflight reconciliation before any migration writes.
Made for: Implementation consultants moving business systems
What it does for you
The problem
Bad field mappings cause silent data loss.
What it gives you
Approved migration mapping and exception report
What you give it
Source exportstarget schemasapproved transformation rules
How it works, step by step
- Profile source fields
- Propose mappings
- Detect invalid values
- Preserve identifiers
- Test sample transforms
- Reconcile record counts
What you see on screen
- Mapping matrix
- sample preview
- validation report
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Data migration preparation with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Data migration preparation with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare22 KB
- prompt-vps.mdThe same build on your own server (Docker)22 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For implementation consultants moving business systems, turn source exports, target schemas and approved transformation rules into approved migration mapping and exception report. Address the recurring problem: bad field mappings cause silent data loss. The pilot measures mapping accuracy and reconciliation differences against the buyer's current method, before the larger build.
Define comparison fields, upload source versions or offers, extract candidate values, normalize only agreed units, inspect differences, resolve questions with reviewers, and export an evidence-linked comparison. Start with source exports, target schemas and approved transformation rules and finish with approved migration mapping and exception report.
How the AI works
Align document sections and extract proposed comparable fields. Deterministic checks handle units and arithmetic. Preserve original wording and label assumptions. Professional reviewers assess the meaning and significance of differences.
Safeguards
Protect secrets, customer data and source code. Use controlled environments, technical review and a recoverable deployment process. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
What to build first
Begin with implementation consultants moving business systems and one recurring use case. Build the first two modules: profile source fields; propose mappings. Provide operator assistance for the third module: detect invalid values. Deliver approved migration mapping and exception report through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
What it can connect to
Authorized repositories, technical documentation, application APIs and logs. Document repositories, procurement or contract records and spreadsheet exports. Preserve originals and avoid writing back interpretations without approval. These are candidate integration categories, not verified supported connectors.
The screens in detail
Use a side-by-side matrix with the same fields for every document or option. Clicking a value reveals its original passage. Highlight missing, different and uncertain items separately. Provide a clarification queue and reviewer annotations before exporting a decision pack. In this product, the first view is mapping matrix, followed by sample preview and validation report.
