Sectors · Financial services
AI for finance: fast, explainable, compliant decisions.
Fraud detection, risk analysis, compliance and assisted advice. Explainable models, securely integrated with core systems.
Transaction screening · sample
- 3 operations flagged out of 12,400
- Explanation available for every flag
- Processed on site
Solutions
For banks, insurers and fintechs.
Fraud detection
Models that analyse transactions in real time and flag anomalous patterns, with an explanation for every flag.
Risk analysis and compliance
Credit, market and operational risk; faster, documented KYC and anti-money-laundering procedures.
Assisted advice
Tools that help advisers propose personalised strategies to a wider client base.
The method
Rigour in four phases.
01
Data and compliance
Data quality and regulatory context to define a safe, effective scope.
02
Models and validation
Model development and rigorous back-testing on historical data to validate accuracy and robustness.
03
Secure integration
Integration with core systems with attention to security, confidentiality and business continuity.
04
Monitoring and explainability
Performance under control and algorithmic decisions that are transparent and interpretable.
Why PugliAI
The language of data and compliance.
Domain expertise
Regulation, data and security of the sector, from traditional banks to fintechs.
Explainable AI
Transparent, interpretable models, a requirement for compliance and for regulators’ trust.
Security by design
GDPR, PSD2 and MiFID II at the foundation of every solution.
Performance
Infrastructure for large data volumes and real-time transactions.
Frequently asked questions
How does AI fraud detection work?
Machine-learning models analyse transactions in real time and recognise anomalous patterns, updating on new fraud types. Every flag comes with an explanation the operator can read.
Is AI compliant with financial regulation?
Solutions are designed with compliance by design: GDPR, PSD2, MiFID II, anti-money laundering and KYC. We use explainable-AI techniques to make decisions transparent, as regulators require.
How long does a project take?
A pilot on fraud or credit risk can be operational in 8–12 weeks; full integration with core systems typically takes 4–6 months, with back-testing on historical data before going live.
What is explainable AI and why does it matter?
Techniques that make algorithmic decisions understandable. In finance they are essential because automated decisions, such as declining a loan, must be justified and verifiable.
Let’s talk about your business.
45 minutes with a PugliAI consultant: process review, priority opportunities and a written report with an ROI estimate. Free and without obligation.