Find every dollar leaking.
Block it live.
Shrink the leak.

For your first 90 days, every claim your team submits gets screened and logged. Blocked ones count too. That gives us your true leakage rate, measured as attempts per $100k of submitted spend. Adoption caveat: baseline accuracy depends on your team actively submitting during those 90 days. Our onboarding drives full team adoption within 4-6 weeks so the baseline reflects your whole company.

Two mechanisms working together. First, our six AI agents keep catching attempts at submission. Second, and this is where the real reduction comes from: once your team knows every claim is checked, most stop trying. Detection catches what happens. Deterrence prevents most of it from happening at all. Target: cut your leakage rate by more than 50% in the 9 months after your baseline.

No formal legal guarantee. What we tell you is what our AI can do (catch it) and what our design intends (drive deterrence). Actual reduction depends on how your team responds to knowing every claim is screened, which varies by company culture. We've built the platform to make this outcome achievable and the dashboard tracks your reduction curve live. If your team is engaged, 50%+ reduction in 9 months is what we design for.

Six categories, all at submission before approval. Duplicate receipts submitted twice from different angles. Handwritten claims where amounts may have been inflated. Currency mismatches between receipt and claim. Out-of-country claims from unauthorized locations. Disallowed multi-currency claims against your policy. Data mismatches between what the receipt shows and what the employee submitted. All six checks run in parallel in under 200 milliseconds.

Three channels, whichever is easiest for them on the day. WhatsApp (send a photo to your company number), email (forward the receipt to your company address), or web upload (for desktop users). All three feed the same fraud detection engine. Custom channels like Slack, Teams, or SMS can be added on request, typically in two to four weeks.

Measured in your own data. Baseline your fraud exposure over months one through three. Watch losses drop quarter by quarter as employees learn what gets caught and our AI learns your patterns. By month twelve, fraud losses are systematically lower and stay there. The measurable outcome is your month one fraud caught versus your month twelve fraud caught, in your own currency, on your own volume.

Yes. Beyond AI pattern detection, REME has a configurable controls layer. Today you can set high-risk vendor lists, category blocklists, thresholds, and pre-approved vendor and amount rules for auto-approval. The controls layer is extensible: new custom controls are added quarterly based on customer requests. Recent examples include category ratio rules and location-aware rules. If your finance team runs specific policy checks manually today, mention them during the demo.

Not directly. REME is an expense management and fraud detection platform, not a tax compliance platform. We capture and validate expense data cleanly. Your finance team uses that clean data for your own tax reporting workflow. We offer several free tax calculators as utilities at our tools section, which many finance teams find useful. Actual tax rule application is your finance team's decision, not ours.

Typically one to two weeks of active work for mid-market customers. Faster for smaller teams, sometimes longer for complex integration requirements. Full details are covered in the demo.

REME is ISO 27001:2022 certified. Data is encrypted in transit and at rest. We align with GDPR and PDPA (Singapore Personal Data Protection Act) standards. Our security documentation is available on request during procurement.

Two options. Start a free one-month trial at app.reimburseme.ai to explore the platform yourself. Or book a twenty-minute demo where our team walks through fraud detection and configurable controls tailored to your workflow. Whichever fits.