AI Expense and Travel Audit Agent for Finance Teams

It is a deployable AI agent that reads every expense report, matches receipts to claimed lines, checks each line against your travel policy, and routes exceptions to auditors with evidence attached. Kanerika builds and runs it on your infrastructure, and your team keeps the final decision on every flagged claim.

No. The agent works on top of SAP Concur, Expensify, or whichever platform you run, reading reports and their receipts through that platform’s own APIs. Submission, approval chains, and reimbursement stay where they are. What changes is that every expense report audit happens before payment instead of on a small sample weeks afterward.

Yes, and that is the whole point. The agent reviews reports between submission and payment, so violations are corrected before money leaves rather than clawed back afterward. Clean reports pass through without delay, flagged ones route straight to an auditor, and you choose which categories can hold payment pending review.

In your environment. Receipts, card feeds, and employee records stay on your Azure, AWS, GCP, or on-premises infrastructure and are never used to train external models. Kanerika holds SOC 2 Type II, ISO 27001, and ISO 27701 certifications, and the agent inherits your existing access controls and data retention policies.

Your policy lives as rules the finance team can read and edit. When a per-diem limit or travel class rule changes, an authorized user updates the rule and it applies from the next report onward. Every rule change is versioned and logged, so auditors can reconstruct which policy applied when.

Less, for most of them. Clean reports stop waiting on a human audit queue and reimburse faster, and employees with a missing receipt hear about it on the same day instead of weeks later. The friction concentrates where it belongs, on the small share of claims that actually break policy.

FLIP’s AP automation processes supplier invoices, and Mike proofreads numbers inside documents for internal consistency. This agent audits employee travel and expense claims against policy. All three share the same Kanerika deployment and governance model, so finance teams often run them together, but each one works a different document queue.

Weeks, not quarters. Kanerika connects your expense platform and corporate card feeds, encodes your policy as reviewable rules, and pilots the agent on one entity or region with auditors scoring every flag. Once precision meets the bar your team sets, coverage extends to the full population with dashboards and audit trails.

Published work linked on this page includes an AP automation deployment that cut manual intervention by 90 percent and saved over 400 man-hours monthly, automated invoice processing with rule-based cost allocations, and FLIP running travel and expense management for KBR. Expense audit pilots produce your own measured numbers within weeks.

Full-population review comes first, so every report and line is checked rather than a sample. After that, look for receipt extraction matched against the claimed line, policy rules finance can read and edit, duplicate and split detection, and outlier analysis against peer groups. Exception queues should show the flag, receipt image, rule and suggested action together, with a person approving every denial.

Start with when it audits. A tool that reviews reports between submission and payment stops violations before money leaves, instead of clawing it back later. Then check that it works on top of your existing expense platform, keeps receipts and card data in your own environment, and leaves auditors with the final say. Kanerika’s agent is built that way and pilots on one entity or region first.