AI solutions for fintech
Outdated systems, complex compliance demands, and rising fraud risks can overwhelm even the most agile fintech teams. We build AI-first solutions that reduce friction, automate intelligently, and strengthen your tech foundation.
Our approach centers on engineering peace of mind through transparent delivery, hands-on collaboration, and steady results.
Why AI in fintech matters now
Fintech is one of the fastest-moving sectors of the global economy. Customers expect frictionless transactions, regulators continuously raise the bar, and new entrants challenge incumbents daily. AI is becoming the differentiator that helps fintechs grow responsibly while maintaining speed.
The best thing about integrating AI in the fintech sector is that you don’t need to wait for years to see the results. The first signs of tangible ROI can appear as early as three to six months after the launch date, clearly indicating whether you’re moving in the right direction.
To save even more resources from being wasted, we recommend gradually rolling out your adoption strategy, covering all your plans step by step, moving from PoC to a complete solution in every direction.”
Delivery Manager at Vention
Key subsectors we serve
Banks, banking-as-a-service, and neobanks
Challenger banks and BaaS providers rely on AI fintech solutions to accelerate account setup, refine real-time risk scoring, and deliver personalized services. Fraud detection and AML monitoring are embedded in workflows, while AI also powers payment optimization and data-driven customer insights.
Lending and credit platforms
AI models streamline loan approvals and open access to credit for underserved markets. Beyond fast scoring, advanced algorithms detect early repayment patterns, forecast defaults, and provide continuous portfolio monitoring to protect lenders’ bottom lines.
Payments and remittances
In high-volume payments, custom AI solutions for fintech companies identify fraud within milliseconds and minimize false declines. They also automate reconciliation, detect duplicate payments, and optimize cross-border settlements, reducing costs while improving the customer journey.
Wealthtech and financial robo-advisors
Custom machine learning solutions for the fintech industry augment investment platforms with anomaly detection in trading, automating regulatory reporting, and delivering hyper-personalized portfolio recommendations. Financial robo-advisors now adapt strategies dynamically, giving retail customers tools once reserved for elite wealth managers.
Regtech
Regulatory technology uses AI agents to flag irregularities, automate reporting, and accelerate AML/KYC checks. The result is lower operational costs and easier compliance across jurisdictions, with fewer manual processes.
Insurtech
AI-driven underwriting increases accuracy, while NLP and computer vision streamline claims processing and reduce fraud. Personalized policies and faster approvals help insurtechs improve both customer satisfaction and profitability.
Proptech
In real estate, AI agents support mortgage risk assessment, property valuation, and fraud detection during high-value transactions. Predictive analytics also enables proactive maintenance, cutting costs for property managers and investors.
Use cases
Fraud detection and transaction monitoring
AI-powered anomaly detection systems flag suspicious activity in real time, helping fintechs minimize fraud losses and avoid reputational damage from false declines. Models continuously learn from new transaction patterns and evolve in response to emerging threats.
KYC and identity verification
Computer vision and NLP accelerate onboarding by automatically verifying IDs, passports, and other documents. The approach improves user experience while ensuring compliance with global regulatory standards.
Credit scoring with alternative data
AI models analyze mobile activity, ecommerce behavior, and utility bill payments to expand credit access beyond traditional bureau data. Fintechs can better serve previously excluded populations and lower default risk.
Predictive analytics for payments
Analysis of historical data and current trends enables AI to forecast cash flow fluctuations and demand surges. Payment providers use these insights to improve liquidity planning and reduce delays or transaction failures.
Customer service and virtual assistants
Conversational AI handles large volumes of customer inquiries, delivering fast answers and routing complex issues to human agents. Virtual assistants also help fintechs recommend relevant products and strengthen user engagement.
Automated compliance monitoring
AI systems scan transactions, communications, and regulatory updates to automatically flag risks. This reduces the need for manual reviews while ensuring adherence to evolving AML, GDPR, and KYC standards.
Dynamic pricing in lending and insurance
AI calculates pricing in real time based on borrower behavior, credit risk, or broader market trends. Lenders and insurers benefit from more competitive rates while maintaining profitability.
Portfolio risk management
Investment firms use AI-driven simulations to assess how portfolios might perform under stress. From interest rate hikes to geopolitical events, simulations help adjust strategies before market shifts cause losses.
Revenue-based financing
Real-time sales data enables AI to structure repayment plans that adapt to business performance. Financing becomes more accessible for startups, eliminating the need for personal guarantees or equity dilution.
AML transaction clustering
Standard rule-based checks often miss fraud patterns hidden in transaction networks. AI clusters data to expose suspicious relationships and detect laundering or criminal activity earlier.
ESG compliance and investment scoring
AI processes disclosures, sustainability reports, and news coverage to create ESG scores. Investors use those insights to align portfolios with ethical standards and regulatory expectations.
We’re experienced in 30+ sectors. Including yours.
With Vention, you get more than skilled engineers. You gain a partner who understands fintech, shares your ambition, and knows how to turn plans into impact.
Our services
Not sure how to start your AI-enhanced fintech journey on the right foot? We’ve got you.
Through a series of AI workshops led by our senior engineers and experts, you'll explore tailored business cases and define a clear path to implementation.
AI consulting and strategy
If you already have a vision for AI in fintech, it’s time to act on it.
Vention’s experts will help you turn that vision into a concrete plan, design a roadmap with minimal disruption, and bring in expertise across 30+ domains to ensure every detail is covered.
For those who already know what they need, we offer comprehensive end-to-end development and integration services.
From data to your solution’s UI/UX, our team of professionals will take care of any aspect of your project you need us to so that you can focus on what really matters: running your business.
AI solutions support
Deployment is just the beginning.
Our specialists provide ongoing support to keep your project running at its best, whether that means integrating new data, resolving bugs, or training your team to use the latest features.
Custom vs. off-the-shelf AI solutions
Off-the-shelf
Custom AI solutions for fintech
Usability
Off-the-shelf
Predefined models with generic use cases
Custom AI solutions for fintech
Models tailored to your fintech’s unique business model, data, and customer needs
Flexibility
Off-the-shelf
Quick to deploy, but limited flexibility
Custom AI solutions for fintech
Scalable by design, built to evolve with your products and business
Independence
Off-the-shelf
Dependency on vendor updates
Custom AI solutions for fintech
Full ownership of source code and intellectual property
Integration
Off-the-shelf
Misalignment with specific workflows and compliance requirements
Custom AI solutions for fintech
Seamlessly integrates into your existing systems, including risk and compliance processes
Costs
Off-the-shelf
Lower upfront cost, limited long-term ROI
Custom AI solutions for fintech
Higher upfront investment with more tangible long-term returns
Off-the-shelf solutions might seem more affordable initially, but they often lead to higher costs over time.
Boxed AI models can help test early hypotheses or run basic use cases like simple AI-powered chatbots.
Once you realize your ideas can be implemented at scale and deliver real returns, flexibility becomes a priority. You need more than generic functionality. You need customizability, long-term adaptability, and the freedom to deploy across platforms as needed. That’s where off-the-shelf tools fall short.”
AI Engineer at Vention
AI adoption challenges in fintech
Adopting AI in fintech isn’t without roadblocks. Vention helps you tackle every challenge on the list, and the ones that don’t make it onto charts. With tailored strategies, seamless execution, and teams ready to adapt, we make sure your AI journey stays smooth, secure, and scalable.
Description
How to overcome
Regulatory uncertainty
Description
Ever-changing rules often create the risk of retroactive compliance costs.
How to overcome
Build flexible systems and constantly monitor regulations.
Data privacy and fragmentation
Description
Disparate systems and cross-border rules complicate data quality and privacy.
How to overcome
Apply unified governance and streamline pipelines for accuracy and security.
Cost and resource constraints
Description
Skilled talent and reliable infrastructure can strain budgets.
How to overcome
Launch pilots with cloud resources and expand as ROI is proven.
Model bias and explainability
Description
Black-box models erode regulator and customer trust.
How to overcome
Design with bias checks and transparent outputs.
Integration complexity
Description
Connecting AI to legacy platforms is often slow and costly.
How to overcome
Use modular designs, APIs, and gradual rollouts to minimize disruption.
Cultural readiness
Description
Teams may resist or lack confidence in AI-driven decisions.
How to overcome
Provide training, gradually change policies, and communicate with employees clearly.
Why Vention?
Years of experience in software development
Clients served across 30+ industries
Engineers with deep AI expertise
An ISO 27001-certified company
Successful AI projects
Assistance in choosing stacks that reduce both upfront and ongoing maintenance costs
Our clients say it best
“Whilst ramping up our engineering organisation, we needed to move quickly. We carried out a vendor selection process and ultimately Vention was chosen. We were attracted to Vention because they have lots of relevant experience as well as a global footprint. Vention came with some highly relevant references in the industry.
The most impressive thing is the way we work together. Vention engineers are fully integrated within Upvest and contribute to many aspects of our product. Vention engineers have challenged ideas and demonstrated a product mindset. Not only have they executed the tasks given, but they've also shown an understanding of the product's impact and developed the functionality taking into account the domain requirements and user experience.”
Head of Developer Experience at Upvest
Our clients say it best
“All four developers we have from Vention have just been fantastic. Something I really love about them is that they’re experienced and not afraid to ask questions or suggest better ways of doing things. They challenge assumptions and drive us to try better software. When we’ve worked with offshore developers before and told them to do something, they’d do it to the letter. Vention’s team takes ownership of delivering the best possible product they can. They’ve been just fantastic to work with, from start to finish. They’ve been responsible for developing a huge portion of the project, and they’ve done a fantastic job.
The branded borrower application — which Vention built a significant part of — has been the deciding factor in bringing on a number of our largest clients. I don’t have actual statistics, but I believe that our two largest clients have said that they signed up with us because they felt that the application was so lovely and provided such a good experience. It’s clearly making a huge impact on our ability to sell to our clients.”
Director of Product Management at StreetShares
Our clients say it best
“Vention approached us when we concluded our Y-Combinator seed round - they made the process of scaling up the team painless and quick, whilst providing high quality resources.
We were able to put our MVP into production within 3 months of inception and continue to issue new releases on a regular basis. This has allowed us to capture new clients on an ongoing basis. The breadth and depth of talent that they have on tap is impressive, account management is also excellent - if any issues arose, they were swiftly dealt with in a positive manner.”
CTO at Union54
Our clients say it best
“Vention supported the design and development of the WiseOwl MVP, an AI-powered school library platform. The scope began with a two-week discovery sprint focused on user roles, architecture decisions, and product requirements. Following discovery, their team began sprint-based development to deliver key components… Their deliverables included wireframes, functional MVP features, UX/UI assets, DevOps pipelines, and ongoing PM coordination through Jira.
What impressed me most was that Vention didn’t just act as order takers... they approached the project like true partners. Their team brought thoughtful questions, creative problem-solving, and a clear understanding of our goals. They contributed strategic thinking, not just execution, and that made a huge difference in shaping the product.”
Co-Founder at WiseOwl Innovations
Client success stories
Your checklist for AI adoption in fintech
No matter your company’s size or level of AI maturity, it helps to have a solid plan before diving into implementation. Based on years of experience delivering fintech AI development services, we’ve created a checklist to guide your next steps or compare with what you already have in place.
Prioritize use cases
Choose areas that deliver measurable ROI quickly, like fraud prevention or automated credit scoring.
Evaluate data readiness
Make sure your datasets are accurate, compliant, and usable for training. Include both internal and third-party data sources.
Pilot before scaling
Test AI within one geography or product before planning a global rollout.
Embed compliance early
Incorporate requirements like PSD2, GDPR, AML, and KYC into your system design from the start.
Integrate seamlessly
Ensure AI connects smoothly with your core fintech infrastructure.
Secure the processes
Include encryption, anomaly detection, and authentication as part of every workflow
Measure impact
Track KPIs such as fraud rates, onboarding speed, or customer retention.
Choose partners wisely
Work with an experienced software partner to balance speed, innovation, and compliance.
Your next steps?
- Book an AI workshop with us and see which potential AI solutions in fintech are really worth it.
- Launch a pilot project in a high-ROI area and track its performance.
- Plan for scale by overlapping your AI roadmap with regulations and business growth.
- Expand efficiently with Vention’s ongoing support and integration expertise.
FAQs
What are the most common use cases for machine learning in fintech today?
The most frequent applications include fraud detection, credit scoring with alternative data, automated KYC, customer service chatbots, and predictive payment analytics. Many fintechs also adopt AI for dynamic pricing, robo-advisory, and ESG-driven scoring.
How does AI benefit fast-scaling fintechs?
AI accelerates customer onboarding, reduces fraud losses, and automates compliance processes. For fintechs that must move quickly, it balances growth with risk management and regulatory alignment.
Can startups adopt AI without huge upfront costs?
Yes. Cloud-based AI services and modular architectures enable fintechs to start small, test use cases such as fraud detection, and scale once the ROI is proven.
Is AI explainability important in fintech?
You won’t believe how much. Regulators and customers expect transparency in credit decisions, portfolio recommendations, and risk scoring. Explainable AI models help build trust and reduce compliance risks.
How long does it take to integrate AI into a fintech product?
Pilots, such as onboarding automation or payment fraud detection, can be launched in a matter of weeks. Full-scale integrations into core banking or investment systems may take several months, depending on complexity.
Does AI replace people in fintech operations?
No. AI supports teams by automating repetitive checks and data-heavy tasks, letting fintech professionals focus on growth, partnerships, and customer relationships.
What is the ROI of AI in fintech?
AI delivers ROI through lower fraud rates, faster onboarding, reduced manual compliance work, and more personalized products. Many fintechs see measurable returns within the first year of adoption.