AI app for finance · no coding needed
Expense Claim Review Assistant
Deterministic policy checks on top of accurate receipt extraction mean clean claims are approved without hallucination risk and every rejection comes with a specific, fixable reason.
Made for: Finance team leads at mid-sized professional services firms
What it does for you
The problem
Finance staff spend hours each week reading receipts and checking claims against policy by hand.
What it gives you
Approved claims posted to the accounting system and flagged exceptions with plain-English reasons and correction links
What you give it
Receipt photosforwarded digital receiptsthe written expense policyaccounting system access
How it works, step by step
- Ingest receipts from email, chat and photo upload
- Extract vendor, date, amount and line items
- Match each claim to the correct policy version
- Check amounts, per diems, VAT eligibility and duplicates
- Return flagged claims with a specific reason and correction path
- Post approved claims to the accounting system
What you see on screen
- Claim inbox
- claim review
- exception queue
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Expense Claim Review Assistant with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Expense Claim Review Assistant with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare22 KB
- prompt-vps.mdThe same build on your own server (Docker)22 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data203 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For finance team leads at mid-sized professional services firms, turn receipt photos and forwarded digital receipts into approved claims posted to accounting and flagged exceptions with plain-English reasons. Address the recurring problem: finance staff spend hours each week reading receipts and checking claims against policy by hand. The value hypothesis is fewer manual checks and cleaner claims with finance touching only edge cases; the pilot must establish whether that benefit is real.
Submit a receipt, extract fields, classify the expense, apply policy rules, approve clean claims, return flagged claims for correction, and post approved claims to accounting. Start with receipt photos and forwarded digital receipts and finish with approved claims posted to accounting and flagged exceptions with reasons.
How the AI works
Use OCR plus a language model to extract vendor, date, amount and line items from receipts, and a deterministic rules engine to apply policy checks. A finance team member reviews any flagged or ambiguous claim before it is returned or approved, and unreadable receipts are handed to a human rather than guessed.
Safeguards
Ambiguous or unreadable receipts must be handed to a human, never auto-approved. Role-based permissions limit who can approve or edit policy rules, all policy versions are retained, and the system must not post to accounting without a matching approval record.
What to build first
One finance team at a mid-sized firm, expense claim checking for the top five expense types, with receipt ingestion and field extraction modules and human review of every flagged claim.
What it can connect to
Start with email ingestion and one accounting package such as Xero or QuickBooks, then chat channels and HR systems for employee records.
The screens in detail
Use a list view of incoming claims with status badges, a detail view showing extracted fields alongside the receipt image and policy rule results, and a queue showing only flagged items with reasons and one-click correction links. Approved claims show a silent audit trail. In this product, the first view is claim inbox, followed by claim review and exception queue.
