By Matt Roche
In financial services, the window to stop fraud is shrinking. With instant payments, card-not-present transactions, and digital channels accelerating fraud velocity, financial institutions can no longer rely on reactive, after-the-fact investigation. The cost? Rising fraud losses, higher dispute volumes, and eroded customer trust.
For financial services clients we work with, these challenges aren’t theoretical – they’re threatening both their bottom line and their competitive position. Here’s how evolv is helping them transform fragmented fraud data into real-time intelligence layers that reduce false positives by 20-30% and cut detection times from hours to minutes.
A quick note before we dive in: A video embedded in this post provides a quick look at how evolv leverages Snowflake Cortex Code to spin up business outcomes quickly for our clients. We can deliver a true demonstration of tailored solutions just like this to solve your business problems. If you like what you see, reach out!
Why: The Growing Fraud Challenge
The Problem: Fraud data is scattered across payment networks, fraud detection engines, and case management systems. This fragmentation creates a cascade of problems:
- Delayed Detection: By the time fraud is identified, the damage is done;
- Inconsistent Decisions: Different systems making contradictory calls;
- High False-Positive Rates: Legitimate transactions being flagged, frustrating customers;
- Manual Investigation Burden: Hours spent chasing down fragmented data trails;
- Degraded Customer Experience: Blocked cards, delayed payments, erosion of trust.
Why the Urgency: The shift to instant payments through real-time ACH and RTP rails means fraud can happen in seconds. Meanwhile, regulators are demanding explainable, auditable fraud decisions. Without unified, real-time intelligence, financial institutions face escalating fraud losses across card, ACH, and RTP channels, along with increased regulatory exposure. They also are at a competitive disadvantage, as fintechs offer faster, smart fraud prevention. And all that often leads to customer attrition.
It’s vital that financial services enterprises move from reactive to proactive when it comes to fraud, aiming for real-time prevention without sacrificing explainability or regulatory compliance.
What: A Unified Fraud Intelligence Layer
evolv designs Snowflake-powered fraud and payment intelligence platforms that unify fragmented data streams into a single source of truth. Our solutions bring together payment transactions across card, ACH, and RTP rails and deploy behavioral telemetry and device signals that proactively search for abnormalities that could indicate fraud. Historical fraud patterns and outcomes also are leveraged, allowing for the deployment of fraud alerts and case management data that help identify potential fraud more proactively.
Using Snowflake’s streaming ingestion capabilities, we create pipelines that capture transaction and behavioral data in real time, enabling fraud detection at the speed of payments – not hours or days later.
Explainable Risk Intelligence
Our platforms don’t just flag suspicious transactions; they explain why. A unified fraud data model supports:
- Real-time risk scoring with transparent drivers;
- Velocity analysis across accounts, devices, and merchants;
- Behavioral anomaly detection;
- Network-wide fraud pattern recognition.
Every fraud decision can be traced from source event to outcome, satisfying regulatory requirements for explainability and creating an audit trail that investigators can trust.
How: Delivering Results Through Real-Time Intelligence
evolv builds comprehensive fraud intelligence platforms with four key layers:
- Data Consolidation Layer: We ingest data from multiple sources into a unified fraud data model:
- Transaction Data: ID, customer, account, amount, channel, merchant, timestamp
- Behavioral Signals: Device ID, IP address, geolocation, velocity scores, device risk
- Fraud Alerts: Risk scores, risk tiers, explanations, timestamps
- Case Management: Case status, investigator actions, resolution types, response times
- Real-Time Risk Scoring: When a customer initiates a payment or card transaction:
- Transaction and behavioral signals stream into Snowflake
- Risk scoring models evaluate the transaction in real time
- The system generates explainable alerts with key risk drivers highlighted
- High-risk transactions are immediately flagged for review
- Investigator Enablement: We create dashboards that transform how fraudteams work:
- Prioritized Case View: Cases ranked by risk severity and potential loss
- Explainable Alerts: Clear risk drivers (unusual location, velocity spike, device change)
- Context-Rich Investigation: Full transaction history, behavioral patterns, similar fraud cases
- One-Click Actions: Block, approve, or escalate with full audit trail
- Executive Intelligence: Leadership gains visibility into fraud performance through real-time dashboards tracking:
- Fraud loss trends by channel and type
- False positive rates and customer impact
- Investigation response times
- Case throughput and investigator productivity
The Customer Experience: Behind the scenes, customers benefit from:
- Fewer false declines on legitimate transactions
- Faster resolution when real fraud occurs
- Proactive fraud prevention before losses mount
- Maintained trust through transparent communication
The Impact: Measurable Results
These transformations deliver quantifiable business outcomes, including a 20-30% reduction in false positives without increasing fraud losses. That means fewer frustrated customers and less operational overhead. Detection and response time is reduced from hours or even days to mere minutes, catching fraud before it spreads. Fraud investigators are more productive, as manual data gathering is reduced. These tools also create audit-ready explainability, as every decision is traceable from its source data to outcome, providing regulatory confidence through transparent risk scoring.
All of this results in a measurable reduction in fraud losses, driving direct bottom-line impact and improved customer retention.
The Bigger Picture
This approach represents a fundamental shift in fraud management, from reactive investigation to proactive, real-time prevention. By unifying fragmented data, enabling explainable AI-driven risk scoring, and empowering investigators with the right tools, financial institutions can protect customers while maintaining the speed and convenience that digital banking demands.
Snowflake-powered platforms don’t just detect fraud faster – they build trust. Customers trust that legitimate transactions won’t be blocked. Investigators trust the risk scores they’re acting on. Regulators trust the audit trail. And executives trust that they’re reducing losses while improving the customer experience.
Ready to transform your fraud prevention from reactive to real-time? Let’s talk about how evolv can help you build unified intelligence that protects your customers and your bottom line. You can also explore our aligned Service Catalog offering to see the specific solutions and capabilities available to support your journey.
Matt Roche is a Client Partner for evolv Consulting, with experience in financial services and industrials. He has been in the consulting and tech space for the past 10 years and is excited to utilize and champion new cutting edge solutions and technologies to help drive AI and data business transformations for our clients.
