Data migration preparation

Buyer

Implementation consultants moving business systems

Problem

Bad field mappings cause silent data loss.

Format

Structured comparison and clarification workspace

Also fits

Operations; Customer Support

USP

Reviewable mappings and preflight reconciliation before any migration writes.

The product

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.

Core functionality

1. Profile source fields.
2. Propose mappings.
3. Detect invalid values.
4. Preserve identifiers.
5. Test sample transforms.
6. Reconcile record counts.

Customer 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 human review

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.

What the customer puts in

Source exports, target schemas and approved transformation rules

What the customer gets

Approved migration mapping and exception report

Accounts and administration

Document versions, field definitions, source references, reviewer corrections, unresolved questions, comparison history and exportable matrices.

MVP scope

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.

After the MVP is validated

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.

Build dependencies

Document alignment, field provenance, unit normalization, missing-value handling and reviewer correction. Similar-looking documents may contain materially different terms.

Integrations and data access

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.

Defensibility

A niche comparison schema, reviewed extraction examples and clear handling of the differences that matter to a specific buyer. For this idea, 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.

Alternatives and positioning

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.

Revenue model and test pricing

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.

Main delivery costs

Document parsing, field alignment, source verification, expert interpretation, clarification rounds and changing document formats.

Marketing message to test

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.

Acquisition channels

Business system implementation partners

Lead magnet

A migration preflight on sample exports

The first 30 days of marketing

1. 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.
2. Week 2: prepare this demonstration using authorized or synthetic material: a migration preflight on sample exports.
3. Week 3: present it through business system implementation partners and seek one narrowly scoped paid pilot.
4. Week 4: review mapping accuracy, reconciliation differences, total delivery effort and a concrete renewal decision before increasing scope.

Paid pilot and validation

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 idea, 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.

Success metrics

Mapping accuracy, reconciliation differences

Retention and expansion

Save reviewer-approved comparison fields and recurring document formats. Offer repeat comparisons and explicit updates when the source options change.

Operating controls and limitations

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.

Investment indication

What it would take to build, from a first MVP to the full product. A planning range to start the conversation, not a quote. Running costs (model usage, hosting, reviewer hours) come on top.

Brand style (concept)