Anchor Point Industries Ltd
Expense claims don’t need to be complicated.
Current observed download price for the selected storefront. Open regional pricing to compare converted prices across countries.
Items currently visible on Apple’s public App Store page. This may not be the complete App Store Connect catalog.
Expense claims don’t need to be complicated.
ForcesClaims is a simple, secure app designed to help service personnel track expenses, manage receipts, and stay on top of allowances during events, exercises, and deployments.
Whether you’re submitting a single claim or managing multiple events, ForcesClaims keeps everything organised in one place.
Key features
• Create events and track claim limits
• Scan or upload receipts using your camera or photo library
• Automatically extract totals from receipts using AI
• Track daily and remaining allowance amounts. No matter what country you are in, ForcesClaims can tell you what the daily allowance is according to JSP 752.
• Organise claims by status (draft, submitted, paid)
• Secure, on-device storage — your data stays on your phone
• Track Motor Mileage Allowance (MMA) claims and create a log of business miles to evidence your HMRC tax claim at the end of the tax year.
Designed with real workflows in mind
ForcesClaims is built around how expense claims actually work, helping you avoid lost receipts, missed limits, and unnecessary admin.
Privacy first: All data is stored locally on your device. ForcesClaims does not require an account and does not share your data with third parties.
ForcesClaims is an independent app and is not affiliated with or endorsed by the Ministry of Defence.
Quick answers based on the latest observed App Store data.
The latest observed download price is £0.99. Open the official App Store link to confirm the current checkout price.
Apple’s public page currently shows 0 purchase items in this storefront. The public list may be incomplete.
Yes. App Store prices can vary by storefront, currency, taxes, and developer pricing. AppPriceData currently has 7 regional observations.