AI-Powered Financial Solutions

Turn
Financial Data
into Decisions

AI that boosts fraud detection, sharpens risk models, and drives data-led growth. From AML/KYC to credit scoring, We help you to super-charge delivery and streamline processes.

99.9%
Fraud Detection
24/7
AI Monitoring
50%
Cost Reduction
10x
Faster Processing
AI
ML
$
📊

From Data to Decisions: Intelligence for Every Transaction

We use petabyte-scale data to provide real-time insights, improve fraud detection, smarter risk management, automate trading strategies, and enable better financial decisions.

AI Enhances Fraud Detection

AI algorithms have reduced false positives in transaction fraud by up to 66%, helping financial institutions act faster and more accurately.

AI Drives Automated Trading

The global AI-based trading market is projected to reach $31 billion by 2026, as institutions leverage machine learning for real-time strategy execution and risk management.

Financial Professionals Embrace AI

Over 71% of financial analysts now use AI-powered tools for portfolio optimisation, risk assessment, and client insights with a 65% jump since 2023.

AI Gains Trust in Banking Sector

82% of banking executives believe AI will play a “critical or highly valuable” role in delivering personalised customer experiences and operational efficiency.

AI is Reshaping Finance

AI is accelerating fraud prevention, trading, analysis, and customer experience—driving smarter, faster, and more trusted financial operations worldwide.

66%

Fraud False Positives

$31B

Automated Trading Market

71%

Analyst AI Adoption

82%

Banking Trust in AI

Applications of AI in the Finance Industry

Discover how AI is transforming every aspect of financial services, from fraud prevention to investment management and regulatory compliance.

Fraud Detection and Prevention

AI-powered systems analyse huge volumes of financial transactions in real time to detect suspicious activity and patterns. These systems use machine learning to adapt to new fraud strategies, allowing for proactive identification before damage happens.

Real-time transaction monitoring
Reduced chargebacks and fraud losses
Enhanced customer trust
Adaptive learning against evolving threats

Robo-Advisors

Robo-Advisors are automated platforms that use algorithms to provide investment advice and manage portfolios. They assess a user's risk tolerance, financial goals, and market conditions to recommend optimal asset allocation with minimal human intervention.

Cost-effective investment advice
24/7 portfolio monitoring
Personalised financial planning
Easy access for first-time investors

Predictive Analytics

Predictive analytics predicts future outcomes using past and real-time financial data, such as market patterns, credit risks, and customer behaviour. In finance, it is commonly used for credit scoring, stock trend analysis, and loan risk assessment.

Improved forecasting accuracy
Reduced loan default rates
Early risk detection
Informed decision-making

Portfolio Management

AI-driven portfolio management uses algorithms to balance risk, optimise asset allocation, and maximise returns based on market conditions. It continuously analyses market data to rebalance portfolios as
needed.

Automated rebalancing
Risk-adjusted returns
Emotion-free investing
Personalised investment strategies

Compliance and Regulatory Reporting

AI solutions enhance regulatory compliance by automating data collection, processing, and reporting. They detect non-compliance issues and ensure that financial institutions fulfil evolving regulatory standards.

Automated report generation
Reduced regulatory fines
Real-time compliance alerts
Enhanced data accuracy

Algorithmic Trading

Algorithmic trading involves using AI and pre-defined rules to execute high-frequency trades at optimal prices. These systems analyse real-time market data to identify patterns and execute orders in milliseconds.

Faster trade execution
Lower transaction costs
Reduced emotional bias
Consistent trading strategies

Why Choose Sensiwise AI?

Explore the full potential of AI in finance with customised solutions that improve decision-making, increase operational efficiency, and guarantee regulatory compliance in a changing digital market.

Finance-Focused AI Expertise

Advanced Capabilities in Risk Analysis, Fraud Detection, and AI Modelling.

Real-time transaction monitoring and predictive analytics.

Enhanced financial planning with AI-driven forecasting models.

Continuously optimised using real-time financial data.

Generative AI for Financial Innovation.

Secure & Compliant by Design

Built by GDPR, PCI-DSS, and financial regulatory frameworks.

Strong data privacy policies, including consent and access control.

Regular updates aligned with ethical AI and compliance best practices.

Secure processing of sensitive financial and customer data.

Transparent AI models with explainable outputs.

Your Strategic AI Partner in Finance

In-depth AI readiness evaluations and transformation strategies.

Seamless integration with existing banking and financial systems.

Ongoing training, model optimisation, and upskilling for internal teams.

Co-creation sessions to shape forward-thinking, AI-first financial strategies.

Full lifecycle ownership - from concept to enterprise-scale deployment.

AI-Powered Financial Anomaly Detection

Discover how a mid-sized European FinTech company transformed their fraud detection capabilities with Sensiwise AI's advanced anomaly detection engine.

Case Study

Mid-Sized European FinTech Company

Fast-growing financial technology platform

The Challenge

Struggling with early detection of unusual financial activity

Manual reviews were time-consuming and inconsistent

Reactive rather than preventative approach

Need for scalable, real-time solution across thousands of daily transactions

Internal accounting discrepancies and transaction fraud

The Solution

Contextual anomaly scoring

Behavioural pattern recognition per account/user

Continuous model training for evolving threats

Integration with risk and compliance team protocols

Measurable Results

32%

Reduction in False-Positive Alerts

Improved accuracy and efficiency

95%+

High-Risk Anomaly Detection

Real-time flagging capability

50%

Faster Investigation Resolution

Reduced time to resolution

Key Success Factors

Advanced Machine Learning

Unsupervised and semi-supervised models for comprehensive anomaly detection

Real-Time Processing

Instant analysis of thousands of daily transactions

Continuous Learning

Models adapt and improve with new threat patterns

Domain Integration

Seamless integration with existing risk and compliance workflows