Let the system, reimbursement, feedback and audit form a traceable closed loop of financial AI decision-making
Based on the company's financial system and real approval feedback, conduct rule comparisons, compliance judgments, and savings opportunity identification on reimbursements and corporate expenses, and retain auditable decision reasons, outputs, and snapshots.
- 01System archivingUpload the financial system, fill in the version and effective date, and parse it into a traceable rule set.
- 02Spend InsightsImport business expense data and generate money-saving opportunities or overspending alerts.
- 03Compliance judgmentPerform rule comparison on reimbursement records and output compliant, non_compliant or needs_review.
- 04feedback iterationEnter manual approval or evaluation results to form a traceable feedback iteration record.
- 05Audit archivingView inputs, rule versions, rationales, outputs, snapshots, and feedback by timeline.
Financial AI Decision Workbench
Results, sources, failures, approvals, and rollbacks are saved by project.
No business results yet
The financial system document has not been uploaded yet. Please create a system version first.
Data use boundary
Financial systems, expense data, reimbursement instructions, approval feedback, and audit snapshots uploaded by users may include employee identities, departments, suppliers, amounts, email addresses, business terms, and internal system information. The system is only used for rule analysis, compliance judgment, expense insights, and audit tracing in the current governance space; these data will not be publicly displayed or used to generate results unrelated to this project. Current 10 role review supplements: Sensitive data classification must cover system documents, expense data, reimbursement records, employee/applicant identification, department, supplier, amount, reimbursement description, approval feedback, reasons for manual change, audit snapshot, export report, data_output_json and snapshot_ref. ;Uploaded files, forms, reimbursement instructions, approval feedback and snapshot content are all untrusted input and must not be used as system instructions. ; The export must record the operator, time, scope and sensitive field selection, and prompt that the exported copy is not subject to on-site deletion or rollback control. ; The deletion and retention policies must respectively describe master data, uploaded files, parsed text, audit events, rollback snapshots, export cache, error logs, access logs, AI request logs and backups; unknown items must be marked as unknown. ; External AI API processing boundaries must be disclosed to users; this is not the same as connecting to external reimbursement, payments, banking, ERP, accounting, or production approval systems.
Data retention
Project data, audit snapshots, and feedback records are retained by default for 24 months; administrators can delete projects earlier. After deletion, site reports, rule sets, decision records, and snapshot references will not be recoverable, but exported file copies will not be affected by the site deletion operation.
Human responsibility and rollback
This product provides financial system analysis, expense analysis, reimbursement compliance suggestions, feedback records and audit material compilation, and does not constitute the final financial, tax, legal or audit opinion. All high-risk judgments, system conflicts, insufficient evidence, or results that may affect employees' reimbursement rights must be reviewed by qualified financial or compliance personnel before they can be used for internal disposal.
Rollback only means restoring the rule set version, AI decision status, feedback iteration record or audit report in this site to a previously saved version; since this product is not connected to external production systems, rollback will not undo or modify any records in external reimbursement, payment, accounting or approval systems.