Live demo · Scoring tool

AI Fraud Detection

Flags suspicious transactions for review using defined thresholds.

Try it: AI Fraud Detection prototype

Add your business name and colour, click around, then reset whenever you like. It runs entirely in your browser with sample data.

Customise
Interactive prototype with sample data. Your changes are kept in this browser only; nothing is saved to a server or sent to anyone. Open "Demo settings" inside the demo to change stages, products, prices, roles and rules.
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What this demo shows

  • Adjustable weights and thresholds
  • Ranked results with labels
  • Scenario and comparison tables
  • Points, tiers and redemptions (loyalty)

Added in the full build for your business

  • Scores from your real data
  • Models that learn from outcomes
  • Alerts and CRM updates
  • Human review of decisions

Overview

What it does

Flags suspicious transactions for review using defined thresholds.

Who needs it

Stores, marketplaces and fintech products.

Problems it solves

  • Chargebacks
  • Fake accounts and promo abuse
  • Manual review of every order

Use cases

  1. High-risk orders are held for review before shipping.
  2. Unusual refund patterns are flagged.
  3. Thresholds are tuned to reduce false alarms.

Key features

  • Flags suspicious transaction patterns
  • Uses available signals
  • Defined thresholds and review queue

Possible integrations

  • Shopify, WooCommerce or custom store
  • Product catalogue and inventory
  • Order and shipping systems
  • Payment and fraud signals
  • Email and WhatsApp

Business benefits

  • Higher conversion and order value
  • Cleaner catalogue with less manual work
  • Revenue protected from stockouts and fraud

Before and after

An illustrative example of the change, not a specific client's result.

Before

Fraud discovered at chargeback.

After

Risky orders held for review before shipping.

How we'd build yours

  1. Step 1

    Free strategy call

    We learn how your business works and what success looks like.

  2. Step 2

    Scope & prototype

    We agree the first version and show you a clickable prototype.

  3. Step 3

    Build & integrate

    We build it with your branding, data and the tools you already use.

  4. Step 4

    Launch & train

    We test on real devices, launch, and show your team how to use it.

  5. Step 5

    Support & improve

    Monthly improvements based on usage and results.

Questions

What does an AI Fraud Detection do?

Flags suspicious transactions for review using defined thresholds. Typical features include flags suspicious transaction patterns, uses available signals, defined thresholds and review queue.

Who is it for?

Stores, marketplaces and fintech products.

Is the demo on this page the finished product?

No. It's a working prototype with sample data so you can try the scoring tool and customise it. The version we build for you uses your own data, branding, logins and integrations.

How long does it take to build?

It depends on the scope. We start with a short discovery, agree the first version (MVP), and give you a fixed timeline and quote before any build starts.

How much does it cost?

Our published monthly plans start at $99/month (Starter). One-off builds like this are quoted after a free strategy call, so you only pay for the features you need.

Is the AI safe to use with customers?

We limit the AI to your approved information, log every conversation or action, add human approval for anything sensitive, and set usage limits. Outputs that affect money, legal, HR or health decisions are reviewed by a qualified person.

Can it connect to the tools I already use?

Usually, yes. Common connections include WhatsApp, email, payments, your CRM. We confirm what's possible for your tools during discovery.

Related solutions

Ask about a AI Fraud Detection for your business

Leave your details and Emmanuel will get back to you on WhatsApp or email.

Want this for your business?

Tell us what you need. You'll get a clear scope, timeline and quote, and a prototype built around your business.