Accedia AI Fraud Detector for Banks & Fintechs
Cut false positives by 80% and auto-resolve 95% of clear-cut alerts. The Accedia AI Fraud Detector scores every transaction, explains every decision, and routes only the real threats to your team. Built for fraud operations at banks and fintechs who answer to DORA, FCA, and their own bottom line.
What is the Accedia AI Fraud Detector
The Accedia AI Fraud Detector is a machine learning-powered solution that replaces static rule-based fraud systems with probability-based risk scoring. It evaluates every transaction alert across multiple behavioural and contextual factors, assigns a clear risk category (Low, Medium, or High), provides audit-ready reason codes explaining each decision, and automatically routes cases to the right queue. The system is designed for banks, fintechs, and payment processors that need to reduce false positives, catch more genuine fraud, and satisfy regulatory requirements for model explainability.
Get the Capability BriefWhy Rule-Based Fraud Systems Fail
With AI-enabled fraud projected to hit $40B by 2027 (Deloitte), your fraud team faces an impossible trade-off. Catch more threats and you drown in false alerts. Reduce the noise and real fraud slips through. For banks and fintechs, compliance pressure is real (DORA, PSD3, FCA), and regulators expect you to explain how decisions are made. A model that works but can't be explained is a liability, not an asset.
Missed fraud costs you in chargebacks, remediation, and regulatory scrutiny
Investigators waste hours on low-risk transactions while high-risk cases sit in queue
Black-box models make auditors nervous and regulators ask questions you can't answer
Legacy rule-based systems can't keep up with evolving fraud patterns
Every false decline frustrates a legitimate customer and costs you revenue
Manual triage doesn't scale, and hiring more analysts isn't a sustainable fix
How the Accedia AI Fraud Detector Works
1
Evaluate alerts with ML
Every transaction gets a fraud probability score (0–1) based on multiple factors, not binary rule triggers. The model detects patterns that static rules miss.
2
Assign a clear risk category
Transactions are classified as Low, Medium, or High risk. You define the thresholds. You set the risk appetite. The model executes it.
3
Explain every decision
Every decision is audit-ready. Reason codes show exactly which factors contributed and by how much, in language regulators and auditors can follow.
4
Route to the right queue
Low-risk cases auto-approve. High-risk cases escalate immediately. Your analysts spend time where it counts, not chasing noise.
What You Get Out of the Box
Advanced Pattern Detection
Our model is trained to work with large datasets and detect relationships beyond obvious transaction attributes, catching patterns that static rules miss.
Explainable AI Outputs
Every score comes with human-readable reasons showing what influenced the outcome. This gives your governance team, auditors, and board the transparency they need to trust the system.
Auto-Decision Engine
96%+ of clear-cut cases are handled without analyst intervention. Your team focuses on cases that actually need human judgment.
Real-Time Risk Dashboard
Full visibility into workload, exposure, accuracy, and fraud distribution. Metrics ready for audit reviews and board reporting.
Configurable Thresholds
You define what triggers auto-approval, manual review, or auto-decline. The model adapts to your risk appetite, not the other way around.
Integration-Ready Architecture
REST API connects to your existing fraud platform. Supports real-time and batch processing. PoC deployment in in 8 weeks.
AI Fraud Detection Results
60%
Fraud Loss Reduced
Significantly lowers total financial theft
80%
False Positives Reduced
Minimizes alerts for legitimate transactions
95%
Auto-Decision Rate
Handles most cases without intervention
8 Wks
PoC Deployment
From kickoff to working model in your environment
Based on model evaluation in a controlled environment using the IEEE-CIS benchmark dataset (590,540 transactions). Production results depend on your transaction data and threshold configuration.
AI Fraud Detection for DORA and FCA Compliance
DORA (Digital Operational Resilience Act), in force since January 2025, requires financial entities to establish automated monitoring systems that detect anomalies and trigger alerts within hours. The FCA expects firms to explain how AI models reach decisions, particularly in fraud detection. The AI Fraud Detector meets both requirements by design. Every decision includes weighted reason codes, every alert has a full audit trail, and the system supports the incident detection and classification protocols that DORA mandates.
ISO 27001 Certified
FCA Explainability Ready
EU AI Act Compliant
Led by Finance AI Experts
Bozhidar Goranchev has led AI and data engineering projects for UK banks and fintechs since 2016, specialising in fraud detection and credit risk models. His team built this solution, and they'll walk you through your demo.
AI Fraud Detection Capability Brief
A quick read for fraud directors and CTOs evaluating AI solutions.
Technology Partner for Regulated Finance
Accedia is a premier AI and custom software development company with 13 years of experience delivering solutions for banks, fintechs, and payment processors. We specialise in projects where security, compliance, and explainability matter: fraud detection, credit risk, regulatory reporting, and data platform modernisation.
Our finance teams include ML engineers and data specialists who have passed bank vendor assessments and worked inside regulated security frameworks. We operate in your timezone, move at PoC-in-weeks pace, and document everything so your team owns the solution long-term.
Why Banks & Fintechs Chose Us
13 Years of Experience
-We've delivered technology solutions for banks and fintechs since 2012. 91% of our clients stay with us year after year. That retention rate tells you more than any sales pitch.
ISO 27001 Certified
-Your data stays protected. Our security practices meet the standards that regulated institutions require, with documented processes and regular third-party audits.
Recognized Globally
-We've been named to the Financial Times' Europe's fastest-growing tech firms and Deloitte's Technology Fast 50. Gartner has recognised our work in AI and data services.
100% In-House Teams
-Every engineer working on your project is a full-time Accedia employee. No handoffs to subcontractors. No knowledge gaps mid-project. The team that starts is the team that delivers.
Among Our Clients in Banking & Fintech
The Accedia AI Fraud Detector is built on years of experience delivering secure, compliant solutions for regulated financial institutions, from Tier 1 banks to fast-growing fintechs.
What Fraud Teams Say
The explainability features changed how we present fraud decisions to our compliance team. For the first time, auditors can see exactly why a transaction was flagged.
We cut our manual review queue by more than half. The auto-decision engine handles the clear-cut cases, so my team finally has time to investigate the ones that matter.
Why This Matters Now?
Why This Matters Now?
$40B AI Fraud Projected US Losses by 2027, Deloitte 2025
30-50% Manual Work Reduction
With Agentics, McKinsey 2025
$50B Global Agentic AI Spend
Estimated 2025 Investment, KPMG 2026
See the Accedia AI Fraud Detector in Action
Join the banks and fintechs already using AI to cut fraud losses and free up analyst time. In 30 minutes, we'll walk through a working demo tailored to your fraud operations.
What we'll cover:
- How the model integrates with your existing platform
- Training requirements for your transaction data
- Timeline and next steps for PoC deployment
13 years in finance. ISO 27001 certified. 91% client retention.
AI Fraud Detection FAQ
What is AI-powered fraud detection?
AI fraud detection uses machine learning to score transactions on fraud probability (0–1) rather than relying on static rules. The model analyses multiple factors simultaneously, catches patterns individual rules miss, and explains why each transaction was flagged. This approach reduces false positives while improving catch rates.
Learn more about our AI servicesHow does AI fraud detection reduce missed fraud?
The model analyses patterns across multiple transaction attributes simultaneously, catching fraud signals that individual rules miss. It scores every transaction on probability (0–1), so high-risk cases are flagged before they slip through.
Can we explain AI decisions to regulators?
Yes. Every risk score includes weighted reason codes showing which factors contributed and by how much. This supports DORA, PSD3, FCA expectations, and aligns with ISO 42001 and EU AI Act explainability requirements.
Read our AI governance checklistHow long does integration take?
Typical PoC deployment takes 4–8 weeks, depending on data access and workflow complexity. The solution connects via REST API to your existing fraud management platform.
See how we work with banks and fintechsWhat accuracy can we expect?
The demo environment achieves 99.6% accuracy with a 0.1% false negative ratio and 0.3% false positive ratio. Real-world performance depends on your data quality and fraud patterns.
How is our transaction data protected?
The solution can be deployed within your existing infrastructure. Data stays in your environment. Accedia is ISO 27001 certified, and the architecture is designed for integration with your security and compliance requirements.
Learn more about our certifications