Trusted document data for enterprise system migration
Extract, validate, reconcile, and move document-backed data between ERP, procurement, CLM, CRM, and warehouse systems while preserving the evidence behind each value.
Enterprise system migration
Technology and transformation teams use TextMine when important operational data is trapped inside contracts, supplier files, onboarding packs, scanned documents, and legacy repositories. TextMine helps extract and validate that data before it moves into target systems such as ERP, procurement, CLM, CRM, and data warehouse platforms.
Workbench gives reviewers a shared workspace for asking questions, checking source evidence, and resolving exceptions. Vault extracts fields from source documents, while Records convert reviewed facts into structured business objects.
System-to-system mapping
Teams moving from one enterprise platform to another often need clean metadata from legacy PDFs, scans, and document repositories. TextMine can support migrations such as SAP to GEP by mapping source-backed document fields into the target data model and flagging values that need review.
Workflows route uncertain values to business owners, and Integrations activate approved outputs through exports, connectors, and controlled system handoffs.
Governed records for cutover
Migration teams need more than extracted text. They need approved values, source evidence, reviewer decisions, confidence signals, and clear ownership. TextMine helps teams prepare migration-ready records that can be checked before cutover and validated after go live.
For broader implementation patterns, read The Document Intelligence Maturity Model.
Exception review and post-migration controls
TextMine helps teams identify missing, conflicting, or low-confidence values before they enter a target system. Reviewers can resolve exceptions with the original document evidence attached, then preserve the reviewed outcome for controls, reporting, and downstream operations.
Playbooks help standardize migration checks, validation rules, and review criteria across repeatable document populations.
