A single transaction can take very different paths depending on how it’s monitored. This infographic reveals where time is lost and risk begins to grow. Take a look at the real-world journey of a fraudulent transaction that shows the impact of relying on end-of-day reports and individual transaction reviews. It also shows how financial institutions can reduce the processing time and catch fraud faster.
If your team is still relying on end-of-day reports and individual transaction reviews, this visual makes the cost of that approach impossible to ignore.
You will learn:
- How manual monitoring delays detection, giving suspicious activity time to multiply
- Where end-of-day reviews miss fraud, turning single incidents into escalating losses
- Why stopping fraud before settlement saves time, effort, and customer trust
Compliance deadlines for the CFPB 1071 rule will change from tiered to a single date under the proposed rule issued Nov. 13, 2025, with some lenders having to collect small business lending data starting Jan. 1, 2028. Knowing the 1071 rule deadline for your specific financial institution is the first step in preparing to collect and begin reporting small business loan data from applicants.
Use this timeline to learn:
- Which financial institutions must comply
- When institutions must begin collecting data
- When data generated by the CFPB 1071 rule needs to be reported
Check out other job aids, articles, and related resources for complying with the 1071 rule:
Financial institutions are adopting AI to improve operations, enhance decision-making, and accelerate growth. However, this new technology requires strong governance and clear guidelines to ensure safe and effective adoption.
This guide outlines ten practical steps to ensure your AI initiatives align with business goals, meet regulatory expectations, and mitigate risk.
You will learn:
- How to establish effective governance for AI initiatives
- Best practices for creating thorough documentation
- Strategies for managing AI vendors and mitigating risk
- Steps to strengthen cybersecurity and incident response
Discover other AI resources on our AI Hub.
Nearly two-thirds of financial institutions are embracing technology in loan review, with many already automating processes and exploring AI applications. While smaller CFIs lean more heavily on manual workflows, the survey shows growing interest in automation even among institutions under $500 million in assets. At the same time, reporting structures continue to evolve, with a noticeable rise in direct oversight and fewer indirect reporting lines compared to prior years. Reviewers also cite multiple criteria for selecting loan samples, most often tied to loan size or credit quality, underscoring the balance of risk focus and efficiency.
This final infographic in our three-part series highlights how technology, oversight, and staffing trends are shaping the future of loan review. From automation and AI adoption to reporting lines and scoping practices, the data provides perspective for modernizing your own program and oversight strategy.
Learn more about:
- Automation trends and AI adoption in loan review
- How reporting structures are shifting across institutions
- Criteria reviewers use to scope and select loan samples
Two out of three financial institutions now track productivity metrics in loan review, offering clearer visibility into workloads and performance. At the same time, three-quarters of reviewers cite all exceptions but weigh materiality when assigning ratings, highlighting how institutions balance thoroughness with practicality.
This second infographic in our three-part series showcases how teams are approaching productivity, exceptions, and scope based on Abrigo’s 2025 Loan Review Benchmark Survey. From weekly file volumes to risk rating variances, the data offers valuable context for evaluating your own loan review practices and oversight strategies.
Learn more about:
- Productivity benchmarks across asset tiers
- How institutions cite and report exceptions
- Trends in review scope, coverage, and risk rating variance
The average salary for a loan review manager has reached $140,211 in 2025, with even the smallest institutions offering top-dollar to attract talent. At the same time, six in ten loan review staff now work partially or fully remote, underscoring the shift toward flexibility and new staffing strategies.
What a modern loan review team looks like today is the first of three infographics that pull data from Abrigo’s 2025 Loan Review Benchmark Survey. It highlights key findings to help you evaluate your own loan review function by providing snapshots of the latest salary benchmarks, staffing patterns, and outsourcing trends that are influencing loan review practices across asset sizes.
What you will learn:
- Salary benchmarks for junior, senior, and management staff
- Trends in staffing sizes and experience across asset tiers
- How institutions are balancing outsourcing with in-house resources
Artificial Intelligence (AI) is transforming AML/CFT & fraud programs by enhancing fraud detection, reducing false positives, and improving compliance efficiency. This guide explores how AI and machine learning (ML) help financial institutions automate workflows, analyze vast datasets, and strengthen BSA programs. While AI does not replace human oversight, it optimizes time and resources, allowing teams to focus on investigating suspicious activities. Additionally, transparent AI models, like those offered by Abrigo, provide clear justifications for alerts, ensuring institutions remain audit-ready and compliant.
Download this infographic to learn:
- How AI improves fraud detection by reducing false positives and enhancing accuracy.
- Ways AI lowers compliance costs while preventing financial crime losses.
- Why AI and human expertise together create a stronger AML/CFT program.
Banks and credit unions have vast amounts of data that could help them drive smarter lending decisions, but it’s often tough to identify the most useful data points and their achievable, practical uses.
This infographic shows lenders and their managers or Chief Lending Officers five examples of how financial institutions can leverage data to:
- Identify lending opportunities
- Improve loan pipeline management
- Optimize lending forecasting
Download now to see how a data-driven approach can unlock efficiency and accelerate loan growth.
Additional resources:
Is your valuable data sitting untapped?
Financial institutions have huge amounts of data that can improve reporting and credit risk management. However, identifying which data is most useful and envisioning specific, practical uses can be overwhelming.
In this infographic, see the data seasoned banking experts use to:
- Communicate with the board
- Stay competitive
- Improve risk mitigation
- Confidently handle examiner questions
Download seven use cases along with tips to help put your bank or credit union on the path toward more data-driven decision-making.
Additional resources:
Discover the latest loan review salary trends and insights from Abrigo’s annual survey. This infographic highlights salary ranges and trends across experience levels, offering financial institutions the data needed to benchmark compensation and optimize budgeting for this critical risk management function. Learn how peers are adjusting salaries to stay competitive and attract top talent in the evolving financial landscape.
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Webinar: Understanding the latest loan review trends and best practices
