by Ikhtiar Alam and Rajib Bahar
Financial crime evolves fast. Traditional, static rule engines haven’t kept pace, flooding analysts with false positives, slowing investigations, and masking risk patterns that span entities, accounts, and transactions. evolvGuard is our Snowflake-native anti-money laundering (AML) solution that fuses proven rule logic with GenAI-powered detection and natural-language explanations, giving compliance teams the tool they need to act with speed and confidence.
Legacy AML misses the mark in our modern world, often generating too many false positives thanks to brittle rules designed for yesterday’s bad behavior. These outdated solutions also use fragmented data across customers, accounts, and transactions, obscuring patterns that could lead to critical insight. There’s limited network visibility into risk propagation, and investigations are often slow and done manually without intelligent triage. Legacy AML is also marked by hard-to-scale, opaque infrastructure that auditors and risk leaders can’t trust.
That’s where evolvGuard comes in. A modern AML detection system designed for the real world, evolvGuard offers near-real-time processing, batch jobs handling large volumes of Big Data, GenAI explanations, and streamlined investigations, delivered on Snowflake with dbt pipelines and analyst-friendly dashboards. evolvGuard creates higher alert precision and faster response times and offers users AI-generated narratives that are embedded directly into the investigation workflow. It means compliance, audit, and another investigations can be completed within weeks instead of months, giving users the upper hand they need to take on today’s financial criminals.
We designed evolvGuard specifically for the teams who keep the financial services industry safe, including compliance analysts, investigators, AML officers, auditors, and risk managers. It can help departments from Risk & Compliance and Regulatory Reporting to Data Analytics and Fraud Investigations. evolvGuard also can be utilized across industries, from FinTech and RegTech to banks.
Results You Can Take to the Board
Organizations deploying evolvGuard typically achieve payback within six to nine months, with expanding savings and risk reduction over the first year.
By providing high-value customers with robust AML controls, evolvGuard helps drive revenue and leads to cost savings, including via its automated Suspicious Activity Report (SAR) detection and compressed manual triage time. evolvGuard’s real-time insights and guided investigations can also reduce the workload for analysts, increasing productivity. And its continuous monitoring capabilities lowers exposure to financial crime and penalties.
Want to see evolvGuard in action? Our demo highlights real-time alerting, AI risk narratives, and dashboards that keep everyone—from analysts to auditors—on the same page. If you’re exploring GenAI for AML on Snowflake, evolvGuard is a pragmatic place to start.
Whether you’re modernizing an existing program or standing up AML for the first time, we help you:
- Assess & prioritize the use cases that will move the needle fastest
- Stand up a Snowflake-native foundation with dbt, Streamlit, and Cortex
- Blend rules with GenAI for explainable, testable detection
- Operationalize the program with controls, CI/CD, and integrations your teams can own
Ikhtiar Alam is a staff data engineer and delivery lead at evolv Consulting, where he drives large-scale data modernization and governance initiatives for leading financial institutions. With a background spanning data engineering, architecture, and platform strategy, Ikhtiar blends technical depth with business acumen to deliver high-impact, scalable solutions on platforms such as Snowflake and dbt. Over the past decade, he has “evolv-ed” through multiple industries and technologies, drawing on his experience as both a data and software engineer to architect resilient, future-ready systems. Based in Texas, Ikhtiar holds Snowflake Architect and Data Engineer certifications and brings a consultative mindset and proven leadership that bridge the gap between engineering excellence and strategic outcomes.
Rajib Bahar is a seasoned data architect at evolv Consulting who specializes in turning AI and data strategies into production-ready outcomes. With two decades of hands-on experience, he’s led teams to take ML products from POC to MVP, scale Snowflake and Databricks platforms, and stand up reliable pipelines across AWS, Azure, and GCP. Rajib’s track record includes accelerating delivery to save clients $10M, and boosting dashboard performance by 200%–1200% across 80+ Looker assets. He holds advanced credentials including Snowflake Advanced Architect and SnowPro Core, Databricks Data Engineering Associate and Generative AI Fundamentals, and cloud certifications with AWS and Azure—making him a go-to partner for leaders who need scalable, secure, and business-aligned data products.
