Solution Database / IT and Development
Data migration preparation
Bad field mappings cause silent data loss. Reviewable mappings and preflight reconciliation before any migration writes.
01The offer
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 value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.
- For
- Implementation consultants moving business systems
- Takes in
- Source exports, target schemas and approved transformation rules
- Delivers
- Approved migration mapping and exception report
- Message
- Data migration preparation for implementation consultants moving business systems. Reviewable mappings and preflight reconciliation before any migration writes. Demonstrate the claim through a migration preflight on sample exports.
- Lead magnet
- A migration preflight on sample exports
02How it works
- Profile source fields
- Propose mappings
- Detect invalid values
- Preserve identifiers
- Test sample transforms
- Reconcile record counts
Workflow
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.
AI and people
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.
Screens
Key screens: Mapping matrix, sample preview, validation report. 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.
Admin
Document versions, field definitions, source references, reviewer corrections, unresolved questions, comparison history and exportable matrices.
03Market gap
Alternatives buyers use today
Spreadsheet comparisons, professional reviewers, document diff tools and manual quote or contract review. Differentiate on this specific proposed advantage: reviewable mappings and preflight reconciliation before any migration writes. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Where this wins
A niche comparison schema, reviewed extraction examples and clear handling of the differences that matter to a specific buyer. For this solution, build around reviewable mappings and preflight reconciliation before any migration writes. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
04Why now
IT and Development teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: bad field mappings cause silent data loss.
05Proof & signals
Channels where buyers gather: Business system implementation partners. Metrics that prove it works: Mapping accuracy, reconciliation differences.
Paid pilot
Compare a known set already reviewed by a domain expert. Check meaningful differences, false alarms and missing fields. Measure reviewer time including corrections rather than extraction speed alone. For this solution, use source exports, target schemas and approved transformation rules and evaluate approved migration mapping and exception report. Agree success thresholds with the buyer before starting; collect a baseline for mapping accuracy, reconciliation differences. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
06Execution plan
MVP
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.
First 30 days
Week 1: interview five prospective buyers in this segment: implementation consultants moving business systems. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: a migration preflight on sample exports. Week 3: present it through business system implementation partners and seek one narrowly scoped paid pilot. Week 4: review mapping accuracy, reconciliation differences, total delivery effort and a concrete renewal decision before increasing scope.
After the pilot
After paid pilots establish value, automate the remaining modules: preserve identifiers; test sample transforms; reconcile record counts. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
Retention
Save reviewer-approved comparison fields and recurring document formats. Offer repeat comparisons and explicit updates when the source options change.
Integrations
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.
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case; first modules: profile source fields; propose mappings. Manual review in the loop. | 5 days | $9,000 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 6 days | $10,500 |
| Full product | Remaining modules: preserve identifiers; test sample transforms; reconcile record counts. Self-serve onboarding, billing, monitoring and the wider integration set. | 10 days | $14,500 |
| Total | $34,000 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $30–$60 | $50–$100 | $80–$160 |
| Full product (about 50 customers) | $110–$210 | $350–$700 | $460–$910 |
Revenue model to test
Test USD 300-1,500 for one bounded comparison package, then USD 150-600 monthly for recurring volume with review limits. Complex expert interpretation is separately priced. Figures are hypotheses.
Cost drivers
Document parsing, field alignment, source verification, expert interpretation, clarification rounds and changing document formats.
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.
Take it further
Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.