Finance & Documents
AI Validation & Delivery
Approved data checked against your rules and delivered to your ERP or accounting system.
Available now · Human approval · Complete audit trail
The operational problem
Approved extraction can still be invalid for the target system
A reviewer may confirm that a value matches the document while the ERP still rejects the record because a supplier is unknown, totals do not reconcile or the invoice already exists.
This service applies the customer’s deterministic rules after human approval, holds failures with a reason and delivers only valid records through one controlled channel with confirmation per document.
Delivery controls
What stands between approval and the ledger
Required fields
The record is complete for the exact transaction or document type expected by the target.
Cross-field rules
Totals, dates, currency, tax or other agreed relationships are checked independently.
Duplicate control
Stable business keys and prior delivery state prevent a retry from creating a second record.
Reference data
Suppliers, accounts, cost centres or other permitted lists are checked before delivery.
Acknowledgement
The result is not marked delivered until the target channel returns the agreed confirmation.
Method
How approved data is validated and delivered
- Receive an approved recordOnly data that completed its human review enters the delivery validation step.
- Run deterministic checksRequired values, totals, duplicates and reference lists are evaluated against written rules.
- Hold failures with a reasonA failed record stays visible with the exact rule and evidence that blocked it.
- Deliver through one agreed channelREST API, SFTP or a document library is configured with the minimum required permission.
- Record the acknowledgementTarget response, timestamp and external identifier are attached to the source record.
- Retry without duplicationRecoverable failures can be retried using the same idempotency identity.
Example delivery
Passed, held and confirmed records stay visible
Illustrative delivery batch — no customer accounting data
- Approved
- 38
- Checks passed
- 37
- Held
- 1 duplicate number
- Channel
- REST API
- Confirmation
- Per document
Integration judgement
The rules behind reliable delivery
Approval and validation are different controls
A human confirms the document interpretation; rules confirm that the record is acceptable downstream.
Held is not lost
Every rejected or delayed record remains in a named state with a reason and owner.
Delivery needs positive evidence
Sending bytes is not success; the agreed acknowledgement must be recorded.
Retries must not duplicate
The same approved record keeps one delivery identity across timeouts and recoverable failures.
Fixed start
What the two-week integration delivers
- Validation rulebookRequired, cross-field, duplicate and reference-data checks written in testable form.
- One delivery connectorAn agreed API, SFTP or library route configured with controlled credentials.
- Held-item workflowFailures show the rule, source record and action needed before release.
- Acknowledgement and retry logicSuccess, timeout, rejection and safe retry behaviour tested explicitly.
- Audit trailApproval, validation, delivery attempt and target confirmation linked per document.
Fit
When automated delivery is—and is not—ready
A good fit
- Approved structured data already exists and the target transaction is defined.
- ERP validation, duplicates or reference-data errors create manual rework.
- One supported delivery channel and accountable target-system owner are available.
Not the right fit
- The upstream data has no approval state or stable document identity.
- Business rules cannot be stated or tested before posting.
- The target system offers no supported import, API or controlled file route.
Where the human approves
You clear held items. The AI works through a fixed list of allowed operations; every approval and result is logged.
Integration questions
Questions finance and ERP owners should ask
Why validate data after a human approved it?
The reviewer confirms the interpretation of the source document. Downstream rules such as duplicates, reference lists and accounting relationships are separate controls.
What happens when a rule fails?
The record is held with the exact failure reason and source evidence. A person can correct or clear it according to the agreed policy.
How do you prevent duplicate delivery?
Each approved record has a stable delivery identity and business key so a retry can be distinguished from a new transaction.
Which delivery channels are supported?
The platform supports REST API, SFTP, SharePoint and OneDrive patterns. The integration selects one supported channel and tests its acknowledgement behaviour.
What if the ERP is temporarily unavailable?
The record remains pending, the failure is logged and a safe retry follows the agreed back-off and idempotency rules. It is not marked delivered.
Experience behind the service
Built from production document delivery
The service comes from SmartDocto’s controlled document-delivery layer, including rules, held states, multiple delivery channels and per-document confirmation. Customer ledger data and integration credentials remain private.
Technical stewardship: David Máj, Founder & Technology Consultant. Last reviewed 24 September 2026.