contact@business-and-ai.com 
Unlocking resilience, efficiency, and trust in financial services with intelligent AI solutions.
BUSINESS & AI empowers financial institutions to tackle compliance, fraud, and risk management with cutting-edge AI solutions. We help FinTech leaders stay compliant, resilient, and efficient in an evolving regulatory landscape.
Get In TouchThe FinTech industry operates under intense regulatory scrutiny, rising customer expectations, and increasing risks of fraud and financial crime. At BUSINESS & AI, we specialize in applying cutting-edge Artificial Intelligence to help financial institutions navigate these complexities with confidence.
Our tailored AI-driven solutions empower banks, insurers, payment providers, and regulators to stay compliant, reduce risk, and optimize operations in an evolving financial landscape.
Key Challenges We Solve
AML & CFT (Anti-Money Laundering & Countering the Financing of Terrorism)
- Reducing high false-positive alerts that drain compliance resources.
- Identifying hidden transaction patterns that traditional systems miss.
- Enhancing regulatory reporting with more accurate, timely insights.
KYC & Customer Onboarding
- Streamlining identity verification while ensuring regulatory compliance.
- Handling fragmented or poor-quality customer data across systems.
- Reducing onboarding time without compromising due diligence.
Sanctions, PEP, and Negative News Screening
- Handling the complexity of constantly updated global and national sanctions lists.
- Accurately detecting politically exposed persons (PEPs) across jurisdictions.
- Automating negative news checks to reduce manual effort and blind spots.
Fraud Detection & Transaction Monitoring
- Preventing real-time fraud in increasingly complex digital channels.
- Detecting sophisticated fraud rings that adapt faster than rule-based systems.
- Balancing fraud prevention with seamless customer experience.
Cash & Liquidity Optimization
- Predicting cash demand across ATMs and branches with higher accuracy.
- Reducing idle liquidity while ensuring availability of funds.
- Minimizing operational costs tied to inefficient cash handling.
AI Techniques We Use
- Machine Learning & Predictive Analytics
- Graph Analytics & Network Intelligence
- Computer Vision & Visual Language Models
- Generative AI: LLMs, SLMs and TLMs
- Deep Reinforcement Learning
- Multiobjective Optimization
- Active Learning
85
%Accuracy using Active Learning
90
%reduction in fraud investigation time
Our Unique Solving Approach
At BUSINESS & AI, we don’t just deploy AI—we align it with the realities of financial regulation and operations. Our approach is built on three pillars:
1
AI-First Design
Rather than adapting generic tools, we design our solutions with AI at the core—embedding intelligence into processes like AML/CFT monitoring, sanctions screening, and cash optimization from the very beginning.
2
Compliance-First Innovation
Our solutions are built to reduce compliance risk while improving efficiency, ensuring you stay ahead of regulatory expectations.
3
Human-AI Synergy
We design AI to work seamlessly with compliance officers, fraud teams, and operations—empowering professionals to make faster, more confident decisions.
4
Close Collaboration with Business Experts
We work hand-in-hand with compliance officers, fraud teams, and financial executives. By aligning AI models with real-world workflows, we ensure solutions deliver measurable business value, not just technical results.
5
Creative Solutions to Longstanding Problems
Even the most “solved” compliance and fraud challenges often hide inefficiencies. We rethink these areas from the ground up, applying AI in innovative ways that reduce costs, improve accuracy, and accelerate outcomes.
6
Data Quality Should Not Stop Us
Financial data is often fragmented, incomplete, or inconsistent. Our systems are built to handle imperfect data—enhancing, cleaning, and learning from it—so institutions don’t need perfect inputs to get reliable outputs.
7
Security-First Philosophy
Every AI solution is developed with stringent security protocols, encryption standards, and data governance in mind. We protect sensitive financial and customer data at every step, ensuring compliance with local and global data regulations.
Questions Financial Leaders Ask
-
How can AI help us stay ahead of constantly changing regulations?
With global and national regulators updating requirements frequently, finance leaders want to know if AI can adapt quickly without creating compliance gaps.
-
How do we ensure AI is explainable to regulators and auditors?
Opaque “black-box” models are a concern. Leaders ask whether AI outputs can be justified in a way regulators will accept.
-
Can AI truly reduce costs, or does it just shift spending to new technology?
Executives weigh the promise of efficiency gains against the reality of implementation costs, integration challenges, and ongoing maintenance.
-
How do we manage data privacy when using AI for KYC and transaction monitoring?
With sensitive customer data at stake, finance leaders want assurance that AI models won’t introduce new privacy or cybersecurity risks.
-
Can AI detect new, emerging fraud schemes—or only repeat what it’s trained on?
Fraud patterns evolve quickly. Leaders question whether AI can keep pace with new attack vectors, not just historical trends.
-
Does AI reduce risk—or does it create new risks we don’t yet understand?
This is the heart of the concern: while AI can strengthen compliance and fraud prevention, leaders want to know if it introduces strategic, ethical, or operational risks of its own.