One huge advantage of living in the information era is that much of the information professionals need is easily available over the internet through multiple sources. Things get trickier when it comes to risk information for risk managers working in banks.

The information and data bankers need is available, but it is often spread out across multiple documents and spreadsheets from different sources. This is a major problem because banks play a critical role for other organizations as well:

  • They provide essential services that other businesses depend on to operate
  • They supply credit and capital when required

This means that when a bank faces a huge loss, the effects ripple across the entire economy, not just the institution itself.

Risk managers in banking are benefiting from modern risk intelligence.

The Challenge with Risk Data

Most risk managers ensure their bank is safe from major risks by poring through many different data sources to create risk assessments. The problem is that much of this data is scattered across different documents in different formats. The process typically involves several labor-intensive steps:

  • Collect all relevant documents and spreadsheets containing critical data
  • Extract the key data points from each source
  • Standardize the data so it can be analyzed consistently
  • Analyze and convert the data into actionable intelligence

This manual approach to risk assessment comes with significant drawbacks:

  • Time-consuming access
    Essential data requires enormous effort just to obtain, especially for smaller community banks.
  • Outdated by completion
    By the time the analysis is complete, many data points have already changed, particularly market-related metrics that shift rapidly.
  • Questionable accuracy
    Data points that are compiled manually stand the risk of no longer being accurate by the time it reaches decision-makers.

Why Inaccessibility Leads to Poor Decisions

The effort required to extract meaningful risk intelligence from raw data is often too great for smaller banks to sustain. As a result, managers frequently make decisions without consulting the data first because it is not readily available.

The only way to ensure the latest intelligence is factored into executive decisions is to make the data easily accessible. Risk intelligence should be visible to all stakeholders so they can consult it whenever needed.

This is one of the most important benefits modern, AI-driven risk technology provides. With the right platform in place, risk managers gain:

  • One-click access to the latest risk metrics and intelligence
  • Elimination of manual data compilation from multiple sources
  • Faster decision-making
  • Real-time visibility for all relevant stakeholders

Risk Intelligence as a Competitive Advantage

Providing updated risk intelligence to the board and the risk team does more than protect the bank. The right technology can serve as a competitive advantage by means of access to more accurate data. Banks with access to real-time metrics can prepare for upcoming changes faster.

Detecting Risks and Opportunities

Proactive risk intelligence doesn’t just help a bank detect threats. The same technology also uncovers opportunities:

  • Proactive mitigation of risks (based on increased severity or probability)
  • Faster expansion or investment in areas that previously seemed too risky

Modernizing Risk Management with Predict360

Modern risk solutions like Predict360 can automatically monitor risks using real-time risk metrics, helping banks proactively mitigate threats and seize opportunities. Key capabilities include:

  • Automated risk monitoring with real-time dashboards
  • Predictive analytics for forward-looking risk insights
  • Centralized data that eliminates manual data gathering
  • AI-driven risk pattern detection across departments

See a more detailed overview of the modules offered to the banking sector by this AI-driven solution below:

Module What It Does
Enterprise Risk Management (ERM) Identify, assess, and track inherent/residual risks across business units; define risk appetite and tolerance metrics; conduct RCSAs
Risk Assessments Preconfigured risk assessments (BSA/AML/OFAC, Information Security, etc.) with preloaded risk libraries from ABA and Crowe
Compliance Management Centralized compliance platform with executive dashboards, automated monitoring, and streamlined workflows
Compliance Monitoring Automate test scheduling, execution, and reporting; map tests to regulations; real-time issue tracking
Regulatory Change Management AI-powered tracking of regulatory updates; automated impact analysis; mapping changes to policies, controls, and processes
Policy Management Central document repository linked to regulations, risks, controls, and training requirements
Third-Party Risk Management Track, manage, and report vendor risks; automate onboarding checklists, due diligence, and performance reviews
Internal Audit Manage audits, examinations, and findings with full workflow and audit trail capabilities
Issues Management Centralized, real-time tracking of issues and action plans across the organization
Learning Management System (LMS) Compliance-centric training linked to regulations, risks, and qualifications; supports online, classroom, and ad-hoc training
Risk Insights (Insight360) KRI engine with real-time dashboards and predictive analytics for forward-looking risk intelligence

Interested in seeing how Predict360 can help your bank’s risk and compliance team? Get in touch to request a demonstration.