"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
IndustriesBanking & Finance
Build Fintech Software That Cuts Costs
Our fintech software development services help banks and financial firms reduce costs, manage risk, and serve customers faster. Our expertise spans banking software development, AI fraud detection, KYC automation, digital banking software development, and core banking modernization. We combine intelligent automation, secure integrations, and scalable architecture to solve operational bottlenecks while keeping complex technology simple and practical.
Industry Challenges
Break Free From Legacy Banking Systems
Financial firms face fraud, compliance, legacy, and onboarding pressure. Explore the fintech software development challenges that slow down growth, raise costs, and frustrate customers every day.
6 key challenges
01
Fraud & Financial Crime
AI fraud detection for banks spots account takeovers, synthetic identities, and unusual transactions in real time, reducing false alerts while helping teams act before losses grow.
02
Regulatory Compliance Burden
Basel III rules demand constant monitoring, reporting, and audit trail. Regulatory reporting automation software can often reduce manual work and make compliance simpler to manage.
03
Legacy System Debt
Old COBOL-based cores struggle with real-time decision, API, and modern data flows. Core banking modernization helps banks migrate in phases without disrupting operations safely.
04
Customer Experience Gap
Customers expect personalized service, but generic products and slow loan decisions can drive them to fintech rivals. Experiences must respond quickly across all customer channels.
05
Credit Risk Complexity
Thin credit files, SME lending, and changing markets can weaken traditional scoring. Credit scoring AI for lenders uses wider signals to support faster, consistent decisions today.
06
AML & KYC Bottlenecks
Manual KYC slows onboarding and increases drop-off while AML teams face monitoring demands. KYC automation software can speed identity checks and strengthen controls with less work.
Banking & Finance Services
Full Suite of Fintech Development Services
Our fintech software development company in USA helps banks tackle fraud, compliance, legacy systems, and demands with AI APIs, automation, and robust platforms built for growth securely.
Fraud Detection AI
Deploy AI fraud detection for banks that spots unusual patterns in real time, scores transaction risk, and routes alerts to teams, helping reduce losses without slowing trusted payments for scale.
Detect suspicious activity faster
Support real-time fraud detection
Reduce financial losses proactively
Keep trusted payments moving
Regulatory Reporting Automation
Automate regulatory reporting software by collecting data, validating rules, and generating audit-ready reports. Trim manual work, improve data consistency, and support Basel III compliance with ease.
Automate recurring regulatory reports
Reduce manual compliance workload
Improve reporting data consistency
Support Basel III compliance
Core Banking Modernisation
Modernize legacy core banking with phased migration, APIs, and cloud-ready architecture. Replace systems securely without risky cutover while enabling digital banking software and faster launches.
Modernize legacy core banking
Minimize migration-related disruption
Enable open banking APIs
Accelerate digital banking launches
Conversational Banking AI
Use ad targeting AI for social platforms to segment audiences, score brand safety, optimize bids in real time, and connect campaigns to revenue data for stronger CPMs, attribution, and ROIs today.
Precision audience segmentation
Real-time bid optimization
Higher CPM revenue potential
Better advertiser ROI attribution
Credit Scoring & Underwriting AI
Use credit scoring AI for lenders to assess borrower risk with data signals and consistent rules. Build AI underwriting software with explainable decisions that help teams move faster and manage risk.
Improve credit risk assessment
Support AI underwriting software
Use alternative data signals
Enable explainable credit decisions
KYC / AML Automation
Speed onboarding with KYC automation software that verifies identities, checks documents, and flags risks. Add AI KYC verification and AML transaction monitoring to cut review and strengthen controls.
Accelerate digital KYC verification
Automate identity document checks
Strengthen AML transaction monitoring
Reduce manual compliance reviews
Use Cases
Real Results from Financial AI Deployments
How banks, lenders, and financial services firms used our AI to cut fraud losses, accelerate decisions, and unlock growth.
01Case Study
71%Fraud Loss Reduction
Fraud DetectionReal-Time MLCard Payments
Real-Time Fraud Detection Overhaul
The Challenge
A Tier 2 retail bank with $38M in annual card fraud losses and a rule-based system generating 92% false positives — burning out analyst teams and degrading customer experience.
The Outcome
ML fraud detection model deployed in 11 weeks reduced fraud losses by 71%. False positive rate dropped to 0.8%. Analyst review volume cut by 65%. Annual savings of $27M realised in year one.
02Case Study
4hrsLoan Decision Time
Credit AIAlternative DataSME Lending
AI-Powered SME Loan Decisioning
The Challenge
A commercial lender processing 4,200 SME applications monthly with a 22-day average credit decision cycle and 34% analyst rejection rate due to thin credit files.
The Outcome
Alternative data credit model reduced average decision time to 4 hours. Approval rates increased 28% with no increase in default rates. $120M in net new lending volume unlocked in 12 months.
03Case Study
9minKYC Onboarding Time
KYC AutomationIdentity VerificationOnboarding
Digital KYC Onboarding Acceleration
The Challenge
A private bank with a 31-day manual KYC process losing 80% of high-value customers before account opening — costing an estimated £18M in first-year revenue annually.
The Outcome
End-to-end AI KYC platform reduced onboarding to 9 minutes for 94% of applicants. Customer drop-off fell from 80% to 11%. Compliance team capacity freed by 60% for complex cases.
04Case Study
$2.1MAnnual Compliance Savings
RegTechBasel IIIReporting Automation
Regulatory Reporting Automation
The Challenge
A mid-market investment bank spending 1,400 person-hours per quarter on manual Basel III reporting across 12 legal entities — with recurring late submission penalties.
The Outcome
Automated reporting pipeline eliminated manual data extraction. Quarterly reporting cycle compressed from 6 weeks to 4 days. Zero late submissions in 8 consecutive quarters. FTE cost savings of $2.1M annually.
Proven Impact
The Numbers Behind Banking & Finance AI
Measurable outcomes from AI deployments across retail banks, commercial lenders, and financial services platforms.
Top Result
94%
KYC Automation RateReducing onboarding from weeks to minutes
3x
Credit Decision SpeedFrom 22-day cycles to same-day approvals
60%
Fraud Loss ReductionAverage across retail banking deployments
$4.2M
Compliance Cost SavedPer year across reporting & AML ops
Build Fintech Software That Cuts Risk
Reduce fraud, compliance workload, and legacy-system costs with fintech software development services
Before You Invest
Plan Core Banking Modernization
Solve fraud, compliance, legacy, and service challenges through fintech software development. We combine AI, automation, secure architecture, and banking platforms to simplify operations, reduce risk, and support steady growth.
8 questions answered
01
How long does it take to build a fintech app?
A fintech app can take a few months for a focused product and longer for a complex platform. Timing depends on features, integrations, compliance needs, data flows, testing, and rollout plans. Agile Infoways LLC first defines the business scope and priorities, then breaks delivery into practical stages so leaders can track progress, manage risk, and make informed decisions throughout the build.
02
What is AI fraud detection in banking, and how does it work?
AI fraud detection for banks analyzes transaction and customer-behavior patterns to flag activity that looks unusual. Unlike fixed rules alone, it can learn from changing patterns and help teams review suspicious activity faster. Agile Infoways LLC can connect this approach with existing banking workflows, giving risk teams clearer signals without requiring them to replace every current process or disrupt daily operations.
03
Is AI safe for banking and financial data?
AI can be used safely in banking when security, access controls, data protection, monitoring, and governance are designed from the start. The goal is to control who can access information, where data is processed, and how models are used. Agile Infoways LLC builds these safeguards into AI projects while keeping leaders informed about risks, controls, and important operational trade-offs before deployment.
04
Can Agile Infoways LLC build secure banking software?
Yes. Agile Infoways LLC can build secure banking software development solutions around the needs of banks, lenders, and financial businesses. Security can cover user access, data protection, audit trails, integrations, monitoring, and controlled releases. The approach is to build security into the product from the beginning, rather than treat it as a final check, helping leaders manage risk as the platform grows.
05
What is core banking modernization and why does it matter?
Core banking modernization means updating or replacing aging banking systems so new products, integrations, and digital experiences can be delivered more easily. It can involve gradual migration rather than a risky all-at-once switch. For business leaders, the value includes better flexibility, easier maintenance, stronger integration options, and a clearer path to new services without disrupting essential banking operations or customer access.
06
How is AI used in KYC and AML compliance?
AI can help KYC and AML teams review customer information, identify unusual transaction patterns, prioritize cases, and reduce repetitive manual work. It does not remove the need for human oversight; instead, it helps teams focus attention where it matters most. A well-designed solution can connect existing data sources and workflows, giving compliance teams faster reviews while keeping decisions traceable and manageable.
07
Should we build an AI team in-house or partner with Agile Infoways LLC?
The right choice depends on your goals, internal skills, delivery timeline, and long-term ownership needs. An in-house team provides deep internal control, while a specialist partner can add experienced talent without the time and cost of building everything from scratch. Agile Infoways LLC can support focused initiatives or broader delivery, helping leaders choose a model that fits their priorities and resources.
08
Where should a bank start with AI to see ROI fastest?
Start with a business problem that is costly, repetitive, measurable, and suitable for automation or better decision support. Fraud review, customer service, compliance workflows, and lending processes can be strong starting points when data and success measures are clear. Agile Infoways LLC can help prioritize use cases, define a practical pilot, measure results, and build on what proves valuable for the business.
Client Stories
From Vision to Verified Results
Behind every number - 40% faster deliveries, 60% less admin workload, 50% quicker data processing - is a client who trusted us with a real business challenge. These aren't just demos. They're live products, running at scale sustainably, delivering results clients can measure.
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
Get In Touch
Let's Build Something Remarkable Together
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