MVB Bank Partners with Bretton AI to Streamline Back-Office Operations as Fintech Business Expands
MVB Bank, Inc., a subsidiary of MVB Financial Corp. (Nasdaq: MVBF), has selected Bretton AI to provide artificial intelligence-powered managed services for the bank’s back-office compliance operations, marking another step in MVB’s efforts to scale its growing fintech and payments business while maintaining a robust risk management framework.
Under the agreement, Bretton AI will provide a dedicated team of U.S.-based professionals to support MVB’s anti-money laundering (AML) transaction monitoring and Know Your Customer (KYC) processes. The team will use the Bretton AI platform to review alerts and complete cases and enhanced due diligence activities in accordance with MVB’s internal policies, procedures and risk framework.
The partnership is designed to give MVB additional operational capacity as transaction volumes and compliance requirements increase, without requiring the bank to expand its back-office workforce at the same pace as its overall business.
For MVB, the agreement reflects a broader strategy of combining technology, human expertise and scalable operating models to support growth in financial technology and payments while maintaining strong compliance controls.
Scaling Compliance Alongside Fintech Growth
MVB has spent approximately two decades developing a national banking business focused on fintech companies, payments businesses and other high-growth sectors.
The bank’s strategy has enabled it to establish a presence beyond the traditional community banking model by providing financial services and banking infrastructure to businesses operating in rapidly evolving segments of the financial industry.
As its fintech business expands, however, the volume and complexity of compliance work associated with that growth also increases.
Financial institutions serving fintech and payments companies must monitor transactions, conduct customer due diligence, investigate alerts and maintain appropriate documentation to meet regulatory and risk-management requirements.
Those activities can become increasingly resource-intensive as the number of customers, transactions and financial relationships grows.
Rather than relying exclusively on additional hiring to manage this increase, MVB is turning to an AI-native operating model through its partnership with Bretton AI.
The objective is to increase the bank’s capacity to manage compliance workloads while maintaining control over its risk program and decision-making processes.
Julie O’Connor, Chief Compliance Officer at MVB Bank, said the bank’s growth has resulted in increasingly sophisticated compliance requirements.
According to O’Connor, Bretton AI provides MVB with a way to expand monitoring and due diligence capacity while allowing the bank to remain responsible for its compliance program, decisions and regulatory filings.
The approach is intended to enable MVB’s internal compliance professionals to concentrate more of their time on complex and higher-risk matters rather than spending disproportionate amounts of time on repetitive operational reviews.
Combining AI With Human Oversight
A central component of the partnership is Bretton AI’s human-in-the-loop operating model.
Under the arrangement, U.S.-based Bretton analysts will use the company’s AI platform to assist with reviewing AML alerts and conducting enhanced due diligence work.
However, AI-generated or AI-assisted outputs will not move directly to MVB without human review.
A trained analyst will review every AI-assisted output before it is delivered to the bank.
This model is intended to combine the speed and scalability of artificial intelligence with human judgment and oversight.
For compliance operations, the distinction is important because AML and KYC reviews often involve contextual information that may require interpretation, investigation and professional judgment.
Artificial intelligence can assist in processing information, identifying relevant data and organising investigative work, but human oversight remains an important component of the workflow.
By incorporating trained analysts into the process, Bretton AI aims to provide MVB with completed work that is reviewed for quality and consistency before reaching the bank.
MVB can therefore increase its operational capacity while maintaining oversight of the underlying compliance framework.
Outcome-Based Approach to Compliance Operations
Another important feature of the partnership is Bretton AI’s outcome-based pricing model.
Traditional compliance outsourcing arrangements often rely on staffing models in which customers pay based on analyst hours, headcount or other labour-related measures.
Bretton’s approach instead links fees to completed work.
This model is intended to allow MVB to increase capacity without directly tying the cost of additional compliance activity to the number of employees required to perform that work.
As transaction volumes rise, the bank can potentially scale the amount of work processed through the service without having to build an equivalent internal workforce.
For a growing financial institution, this can provide greater flexibility when forecasting operating expenses.
It can also reduce the pressure to continually recruit, train and manage additional compliance personnel as business volumes increase.
The model is particularly relevant for financial institutions experiencing uneven or rapidly changing transaction volumes, where maintaining a large fixed workforce may not always be the most efficient approach.
Supporting a Growing Fintech and Payments Ecosystem
MVB’s relationship with Bretton AI comes as the bank continues to serve companies operating in fintech, payments and other high-growth financial sectors.
These businesses can generate complex compliance requirements because of the nature of their products, customer bases and transaction flows.
A bank supporting fintech clients may need to manage a wide range of transaction patterns and customer relationships while ensuring that appropriate AML and KYC procedures are followed.
As fintech businesses expand, their banking partners must be capable of scaling their compliance infrastructure alongside them.
MVB’s selection of Bretton AI reflects the bank’s effort to address that challenge through technology-enabled operations.
Instead of treating compliance capacity as a function that must grow primarily through employee headcount, the bank is adopting a model that combines technology with dedicated operational resources.
The strategy is intended to support continued business expansion without compromising the bank’s approach to risk management.
Growing Interest in AI-Native Compliance Services
The agreement also comes as financial institutions increasingly explore the use of artificial intelligence in compliance and financial-crime operations.
Banks have historically relied heavily on manual processes and large teams of analysts to review transaction monitoring alerts, conduct investigations and perform due diligence.
While those approaches remain important, they can become expensive and difficult to scale as transaction volumes increase.
AI technologies offer the potential to automate or accelerate parts of the workflow, allowing analysts to spend more time on complex investigations and higher-risk cases.
Bretton AI has positioned its Managed Services offering as an AI-native alternative to traditional compliance outsourcing.
The service combines the Bretton AI platform with a dedicated U.S.-based operations team and outcome-based pricing.
The goal is to provide financial institutions with an integrated technology and operational solution rather than requiring them to purchase software separately and build their own large internal team to operate it.
Leadership Behind Bretton AI’s Services Business
Bretton AI’s Managed Services business is led by Rick Shooman, who has approximately 25 years of experience building and advising financial-crime compliance programs within banks and across the financial services industry.
Shooman’s experience reflects the importance of combining technology with knowledge of how financial institutions actually operate their AML and KYC programs.
The partnership with MVB adds to a growing group of banks and fintech companies adopting Bretton AI Managed Services for back-office compliance operations.
The company’s approach is focused on delivering completed operational outcomes rather than simply supplying additional labour.
This distinction is particularly relevant as financial institutions seek to modernise compliance functions without reducing the level of human oversight required for sensitive risk decisions.
Regulatory Environment Increasing Focus on Effectiveness
The MVB-Bretton AI agreement also comes amid continued regulatory discussions around the future of AML and countering the financing of terrorism, or CFT, programs.
FinCEN and federal regulators have been considering potential changes to AML and CFT requirements, including approaches that place greater emphasis on risk-based effectiveness and the responsible use of modern technology.
For banks, the evolving regulatory environment creates an incentive to assess not only whether compliance processes exist, but also whether those processes are effective in identifying and addressing financial crime risks.
Technology can play a role in that effort by helping institutions process large amounts of information more efficiently and focus human resources on higher-risk activity.
MVB’s adoption of Bretton AI is aligned with this broader movement toward risk-based compliance operations.
The bank can use technology and managed services to address routine operational workloads while allowing its internal teams to concentrate more heavily on risk assessment, complex investigations and program oversight.
Keeping MVB in Control
Despite the use of an external technology and services provider, MVB’s compliance program remains under the bank’s control.
This is a critical element of the arrangement.
Bretton AI will perform operational work according to MVB’s policies, procedures and standards, while MVB retains responsibility for its risk framework and compliance decisions.
The model therefore separates operational capacity from governance and accountability.
Bretton AI provides the technology and trained personnel required to complete defined workflows, while MVB determines the standards under which that work is performed.
This structure can allow the bank to gain operational efficiency without outsourcing ownership of its risk management framework.
Moving Beyond a Headcount-Driven Model
For many financial institutions, the traditional solution to increasing compliance workloads has been to hire more employees.
While additional personnel can provide capacity, a headcount-driven model also brings recruitment costs, training requirements, employee turnover and management responsibilities.
As business volumes grow, the organisation may find itself needing to continually expand its workforce simply to maintain existing service levels.
MVB’s partnership with Bretton AI represents a different approach.
By combining AI-enabled technology with a dedicated U.S.-based operations team, the bank can seek to increase capacity without increasing internal headcount at the same rate as transaction and customer volumes.
The model also provides an opportunity to standardise certain workflows and improve consistency across large volumes of compliance activity.
Implications for the Future of Bank Operations
The partnership illustrates how AI is increasingly moving from experimentation into practical banking operations.
Financial institutions have spent years evaluating artificial intelligence for applications ranging from customer service and fraud detection to lending and risk management.
The growing adoption of AI-native managed services suggests that another major area of opportunity lies in back-office operations.
For banks serving fast-growing fintech and payments companies, scalable compliance infrastructure can become a critical component of business strategy.
If transaction volumes grow faster than operational capacity, compliance functions can become bottlenecks.
Conversely, an efficient compliance operation can allow financial institutions to expand while maintaining appropriate risk controls.
MVB’s adoption of Bretton AI demonstrates an effort to use technology to address that challenge.
MVB Bank’s agreement with Bretton AI represents a significant move toward an AI-enabled model for AML and KYC back-office operations.
The partnership provides MVB with additional capacity to handle transaction monitoring, customer due diligence and enhanced review activities while maintaining control over its policies, risk framework and compliance decisions.
The human-in-the-loop structure is designed to balance technological efficiency with professional oversight, with trained Bretton analysts reviewing every AI-assisted output before it reaches the bank.
Meanwhile, the outcome-based pricing model provides a scalable alternative to traditional headcount-based outsourcing.
As MVB continues expanding its national fintech and payments business, the ability to scale compliance operations alongside that growth will remain increasingly important.
The partnership also reflects a broader shift taking place across the financial services industry, where banks are looking beyond traditional staffing models and exploring how artificial intelligence can improve operational efficiency without compromising risk management.
For MVB, the strategy is ultimately about creating additional capacity while allowing its internal teams to focus on the highest-risk work and broader compliance priorities.
For Bretton AI, the agreement demonstrates how its combination of AI technology, U.S.-based operational expertise and outcome-based services can be applied to the complex requirements of modern financial institutions.
As regulatory expectations evolve and fintech activity continues to expand, the ability to deliver scalable, consistent and risk-focused compliance operations could become an increasingly important competitive advantage for banks and their technology partners.
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