AML
Spend review time wisely using smart AML transaction monitoring
With AI analysing billions of complex transactions in minutes and flagging suspicious behaviours, focus on the alerts that matter for airtight compliance.
Arrange a demoDecrease review time by 40%
Cut false positives by 60%
Enhance detection of suspicious activities by 35%
Next-level monitoring: a human and machine hybrid
2-5% of global GDP is laundered annually, criminal risks are escalating, and legacy systems and hand-on analysts are expected to complete the impossible: spot strange behaviours within millions of transactions, from bank transfers to cross-border payments, to appease the regulator.
Human-set rules and deep analysis for complex risk cases is still highly valuable, strengthened using AI algorithms to constantly track, analyse and flag anomalous transactions from swathes of historical data. This automation lowers time-draining administrative tasks, accurately closes low-risk alerts, and removes the worry of false positives that can arise from human error.
The clues of dirty money hide in the patterns. With RelyComply’s integrated transaction monitoring for AML compliance, detecting crime and speeding up risk reporting can make the financial world a safer place to do business.
A transaction monitoring solution that grows with you
Effortless scalability for high-volume activity
RelyComply’s flexible platform can automatically adjust and scale to larger resource demands, or sudden or heightened volumes of transactional activity, regardless of industry regulations.
Use AI to build 360° risk profiles
By contextualising the characteristics of funds, predicting future user behaviours, and indexing data, RelyComply can help construct accurate profiles for high-risk individuals or businesses ready for suspicious transaction reporting (STRs).
Forget about multiple false positives
With compliance experts tailoring rules for automated technology to follow, high-value high-volume transactions are handled, while deeper analysis of complex cases is left for analysts to review to cut out financial crime fast.
A greater user experience
Rules-based approaches to spotting patterns were rigid; using a risk-based format within RelyComply’s one customer view can remove low value risks for a more efficient way to handle AML compliance.
Single, Consolidated AML Platform.
Limited data coverage blighted traditional transaction monitoring, but RelyComply can analyse multiple data formats, across different contexts, and immediately adapt to user-set thresholds according to client usage.
Get started with RelyComply
Get the AI advantage
Automate the continuous monitoring of transactions, including in batches, all in real-time.
Integrate easily
Link with the GraphQL API and slot powerful 24/7 monitoring into your end-to-end AML platform.
Navigate simply
Tune your lists, screening and matching workflows for a precise multi-tiered reviewing process.
Advance your capabilities
Mix rule-based thresholds with supervised or unsupervised machine learning for advanced anomaly detection.
Reduce inefficiencies
Focus your efforts on STR reporting, and lower compliance costs by up to 30%.
Discover AI in action: solving the fincrime surge with transaction monitoring
Artificial intelligence has made many headlines. But its undeniable role in monitoring historical transactions for suspicious anomalies is a little less documented.
Get the white paperQuick AML insights
A guide to managing financial crime risk amid UK regulatory shifts
Executive summary: navigating the convergence of strategy, policy, and enforcement The landscape of financial crime regulation in the UK is fundamentally transforming in 2025. This is not a period of piecemeal adjustments but a strategic realignment where a reactive, volume-based compliance model is replaced by a proactive, data-driven, and judgment-based one. The core of this … Continued
Synthetic identities: addressing the silent epidemic
Knowing that your very identity is being transferred right now across the dark web is highly discomforting. Unfortunately, it’s also highly likely. The fraudulent use of passport photos, addresses and phone numbers has been around for a long time, and in the public eye, but the newer incarnation – synthetic identity fraud – is a … Continued
Enhancing customer onboarding at scale
Despite it being the norm, the thought of interval-led know your customer (KYC) every few years seems extremely outdated. Crime never sleeps and customers transact around the world at any time of day. Illicit payments and people can infiltrate the system at any point. Presiding over the comings-and-goings continuously is paramount to every modern financial … Continued