--- title: "Move approved document data into ERP without losing its history | R&D COPILOT" lang: en canonical: https://rdcopilot.com/insights/document-workflows-approved-data-handoff/ content_version: 1a5c4788610b85cefc74e08d7e1c5dc8697461f6f0c71da2f8c6e2b1edc9a333 contact: https://rdcopilot.com/contact/ --- [RDC](https://rdcopilot.com/) [Insights](https://rdcopilot.com/insights/)Document Workflows Document WorkflowsHow-to guide # Move approved document data into ERP without losing its history Approved document data is ready for a business handoff only when the destination can accept it and the result can be traced. We connect extraction and review to an explicit import contract, preserving the document, approved fields and destination acknowledgment. That allows a finance or operations team to investigate a rejected write without starting the document review again. By R&D COPILOT6 October 20265 min read In this guide 1. [Agree the destination's business record](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/#guide-section-1) 2. [Bind approval to the exported version](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/#guide-section-2) 3. [Resolve rejection and uncertain completion separately](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/#guide-section-3) 4. [Separate source access from connector authority](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/#guide-section-4) 5. [Reconcile approved records with destination results](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/#guide-section-5) 6. [Quote the whole document-to-system connection](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/#guide-section-6) [Sources & inspiration](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/#guide-sources) ## Agree the destination's business record The extraction schema and ERP import schema rarely match exactly. A supplier name may need a master-data identifier; a date may need a defined timezone or accounting period. Decide which transformations are deterministic and which require review. Keep mandatory fields and accepted value ranges visible before an approved record is released to the connector. Map each approved field to its destination meaning. A supplier's printed name may resolve to several legal entities, and a document number may be unique only within a supplier and year. Decide which identifiers the ERP requires and where master-data resolution happens. Keep source text when it is useful for investigation, but do not substitute it for a required controlled identifier. The import contract should specify required fields and the reasons an otherwise reviewed document can still be held. ## Bind approval to the exported version Preserve the exact approved values and source identity in the handoff record. If a mapping change alters those values, decide whether approval must be renewed. A connector should not quietly repair an unknown supplier or substitute an account code because the destination requires one. Return the specific unresolved field to the appropriate reviewer. Store a snapshot of the reviewed payload rather than reconstructing it later from whichever extraction result is current. Include mapping version and approval status. If an accountant changes a value, the export should use the newly approved snapshot and preserve the earlier one in history. A destination-specific transformation needs verification too: a correct invoice date should not become another day because a connector applied an inappropriate timezone conversion. ## Resolve rejection and uncertain completion separately A validation rejection means the destination declined the record. A lost response after submission may mean it accepted the record but the connector does not know. These need different recovery actions. Store a stable operation identity and destination reference where available, then verify the outcome before retrying an operation that could create a duplicate. Create distinct recovery paths for schema errors, unknown master data, destination unavailability and uncertain acceptance. A rejected field can return to review while preserving approved fields that remain valid. A possible duplicate needs destination investigation before replay. Make it clear whether the operator is correcting the original import or authorizing a replacement. Where the ERP offers a reversal or amendment process, use its documented business behavior rather than deleting evidence to make another attempt appear new. ## Separate source access from connector authority The connector needs only the approved fields and permissions required for its destination operation. Reviewers may need the source page without access to write in the ERP. Define those roles separately and protect secrets outside document content. Retention decisions should cover the source archive, approved payload, acknowledgment and operational error information. Separate the source archive from the export log. Reviewers need pages; an operator investigating transmission may need only record identifiers, status and error details. Restrict access accordingly. Keep API secrets out of extracted text and exception messages, and avoid attaching whole documents to every alert. Decide how long the approved snapshot and acknowledgment remain available to explain a financial or operational record, with the organization's responsible owners involved in that retention choice. ## Reconcile approved records with destination results Count records approved for export, accepted by the destination, rejected and awaiting resolution. Compare identities, not just daily totals, because a missing record and a duplicate can cancel numerically. Test replay, master-data changes and a destination outage. The business owner should be able to explain every approved record's current state. Run a reconciliation that joins approved source identities to destination identifiers. Check missing acknowledgments, rejected records and multiple destination records for one approved operation. Include batches with partial success, because retrying a complete batch can duplicate its successful members. Test the effect of a master-data update between review and export. Acceptance should show that each approved item reaches an explainable final state, including items deliberately held for a business decision. - Resolve controlled supplier and product identifiers before release rather than substituting plausible source text during export. - Store the approved payload and mapping version so the destination receives exactly the values that were reviewed. - Separate validation rejection from uncertain acceptance and inspect destination identity before retrying a possible duplicate. - Reconcile each approved source record with its destination outcome, including partially successful batches and deliberate holds. ## Quote the whole document-to-system connection Bring the destination import specification, representative approved records and the rules for correcting rejected data. We can scope field mapping, approval binding, connector behavior and an exception view together. Identify which system owns each field after import. Later corrections need a controlled update path rather than another copy of the original document. We can scope a single document family and one destination transaction first. The deliverables can include a mapping specification, approved-payload storage, connector, exception screen and reconciliation report. Ask for access to the destination's testing facilities and the owner of its import rules. Later document families may reuse parts of the connection, but each needs its own field semantics and validation. The quote should make those reusable components and document-specific requirements distinguishable. Inside the product ## Document Workflows [![Prepared invoice with reconciled totals and all four checks complete.](https://efactura.rdcopilot.com/product-demos/efactura/gallery-detail-en.png)View full size](https://efactura.rdcopilot.com/product-demos/efactura/gallery-detail-en.png) Prepared invoice with reconciled totals and all four checks complete. [![Invoice preparation workspace with parties, reference and completeness checks.](https://efactura.rdcopilot.com/product-demos/efactura/gallery-overview-en.png)View full size](https://efactura.rdcopilot.com/product-demos/efactura/gallery-overview-en.png) Invoice preparation workspace with parties, reference and completeness checks. Swipe or use the arrows to explore. Image 1 of 2 Follow the references ## Sources & inspiration ### [ShipSense AI: Invoice Processing Agent for Enterprise](https://devpost.com/software/invoice-processing-agent-for-enterprise) Devpost project by KP Kshitij Parashar Invoice intake and field checks. This independently created project is credited as inspiration. The workflow and implementation guidance in this article are RDC’s analysis. - [Google Cloud Document AI: evaluate performance](https://docs.cloud.google.com/document-ai/docs/evaluate) - [Stripe: idempotent requests](https://docs.stripe.com/api/idempotent_requests) Put the guide to work ## Start with your workflow. Tell us what your team needs to do, which systems are involved and where the current process slows down. [Discuss your project](https://rdcopilot.com/contact/?service=workflow-automation) [Explore Document Workflows](https://documents.rdcopilot.com/) Document Workflows ## Keep exploring. [All guides](https://rdcopilot.com/insights/) Decision guide ### [Evaluate document AI on the files your team actually receives](https://rdcopilot.com/insights/document-ai-evaluation-real-files/) Evaluate document AI against checked real files, field errors and reviewer effort, then choose extraction and review rules from evidence your team can inspect. [Read guide](https://rdcopilot.com/insights/document-ai-evaluation-real-files/) Workflow ### [Let reviewers open the exact page behind an extracted field](https://rdcopilot.com/insights/document-ai-page-evidence-review/) Connect extracted fields to exact pages and regions, preserve correction history and test a review interface that helps people confirm values in context. [Read guide](https://rdcopilot.com/insights/document-ai-page-evidence-review/)