Submitted expenses were automatically checked against expense policy, spending limits, and required documents. Over-limit claims, missing receipts, and suspected personal use were sorted with evidence, sharply reducing return work.
"At month-end, hundreds of expense claims arrive at once, and checking each one against policy takes days." We tested how INDX Compliance handles the monthly workload faced by accounting reviewers, using real product screens.
At one company, the accounting team receives expense claims from employees at the end of every month.internal expense policy, limit tables, invoice requirements, and travel expense policyThey manually judge each claim against those standards. Individual amounts may be small, but a missed issue can create meaningful tax risk.
The hard part is that the standards are spread across multiple documents: entertainment limits in an appendix, invoice requirements in tax rules, and taxi-use reasons in workplace rules.which claim is caught by which policy clauseThe answer depended heavily on reviewer experience. When reviewers changed roles, the same violation could slip through.
Challenges encountered
First, there is no complex setup."Check whether this month's expense claims satisfy the internal policy limits and invoice requirements."We entered that in everyday language, and AI automatically built the review workflow.
Your instruction (plain language is fine)
"Check whether this month's submitted expense claims satisfy the internal expense limits, required documents, and invoice requirements. Sort policy-violating claims with evidence."
01Import expense policies and related requirements
Import the internal expense policy, limit tables, invoice requirements, and travel expense policy.
02Assess each claim against the policy
Check limits, required documents, and stated reasons claim by claim.
03Verify evidence and confidence
Confirm the cited policy clauses and receipt details actually exist.
04Final human review
Route only needs-review and non-compliant claims to accounting.
No programming knowledge or complex rule configuration is required. The generated workflow can be reviewed and edited, then reused every month with the same checks.
After saving and running the workflow, AI checks each claim against internal policy requirements. The results are consolidated on one screen. The key point isevery decision includes the exact policy and clause used as evidence so reviewers do not have to take the AI conclusion on trust and can confirm the source text.
Compared against internal expense policy / expense limit table / qualified invoice requirements / travel expense policy
Expense Claim Rule Compliance Check
Run on 2026-04-30 | 8 checks
4
Pass
2
Needs review
2
Non-compliant
Under Article 13 entertainment expense reimbursement standards, entertainment expenses are capped at JPY 5,000 per person. Receipts must list participant names and headcount.
The meal claim is JPY 8,200 per person, exceeding the limit. It should be returned as a policy violation.
In this test, AI found two issues: entertainment expenses exceeded the JPY 5,000 per-person limit, and an invoice had no registration number and did not meet input tax credit requirements. Both are policy violations that can lead directly to tax risk if missed.
The 4 items AI marked as passing have evidence attached and can be checked quickly. Human judgment is reserved forthe 2 needs-review items and 2 non-compliant items, 4 items in total. The reviewer returned the non-compliant claims to the applicant, reran the corrected resubmissions, and finally approved and locked the results.
Final review (human confirmed)
The meal claim is JPY 8,200 per person, exceeding the JPY 5,000 policy limit. The applicant was asked to resubmit the receipt and correct the amount.
Humans review only the 4 needs-review and non-compliant items.The 4 passing items can move through with evidence attached, so reviewers can focus on judgment.
Audit log (tamper-proof)
Assessed 8 checks (4 pass / 2 needs review / 2 non-compliant)
hash c2d7…4a
Returned claims for entertainment expense over limit and missing invoice number; requested resubmission
hash e9b3…f1
Replaced the receipt, corrected headcount, resubmitted, and reran AI -> pass
hash a4f0…82
Approved and finalized all 8 items (April 2026 reimbursement completed)
hash b1e6…3c
Every action and decision is recorded in a tamper-proof audit log. Teams can later trace who decided what, when, and based on which evidence, and reuse that record for tax audits and internal audits.
The first-pass review workload, previously over 20 hours per month, was completed from check preparation through final confirmation in3 hours. Most importantly, over-limit claims and missing invoice numbers were automatically detected before returns went back to applicants.
From first-pass review to finalization
Policy and receipt details available immediately
4 passing claims move through
Key points from this case
This example focused on expense reimbursement, but INDX Compliance works the same way across use cases.Provide the standard documents, such as internal policies, laws, or invoice requirements, along with the documents to check, such as claims and receipts, and compare them with evidence attached. The same workflow applies to contract reviews, approval checks, ISO audit preparation, and any operation that requires checking documents against rules.
Bring a policy, contract, or application document, and we will demo the actual judgment screen. Closed-network and on-premise deployments are supported.
Use caseWe compared a newly revised information security management policy against higher-level basic policies, work rules, and APPI requirements, then had AI identify conflicting clauses with evidence.
Use caseWe compared a near-final specification against Patent Act Article 36, JPO formatting, and internal filing guidelines, then had AI identify support and clarity issues in the claims with evidence.
Use caseBefore the internal audit, AI performed a first-pass check on whether the quality manual and department procedures met ISO 9001:2015 clauses 4-10, detecting missing corrective-action and audit provisions with evidence.
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