Case Study: Rapid API Integration to Overcome the FINTRAC Shutdown

How Rhizome helped Phantom Compliance rapidly file backlogged reports

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Executive Summary

When the March 2024 FINTRAC security breach forced a sudden migration to a new API, Phantom Compliance's existing automation pipeline was instantly rendered obsolete. Facing a critical technology gap and a massive backlog, they partnered with Rhizome Compliance. Rhizome deployed their API-native platform in record time, enabling them to file nearly 2,000 reports ahead of schedule and transforming a potential crisis into a permanent technology upgrade.

The Challenge: A Sudden Technology Mandate

Phantom Compliance, a compliance services company specializing in serving Canadian MSBs in the cryptocurrency sector, had an automated system for managing its clients' high-volume FINTRAC reporting. However, the unexpected FINTRAC shutdown in March 2024 and the subsequent mandate to use the new Gen 2 API created an immediate crisis. Their existing tools could not yet interface with the Gen 2 API, leaving them with no way to file. Nor would it be practical to do manually, due to the sheer volume of reports.

With a non-negotiable deadline looming and a backlog of transactions growing daily, the challenge was clear: find a partner who could bridge this complex API gap immediately, without requiring a lengthy and resource-intensive internal development project.

The Solution: An Agile, API-Native Platform

Rhizome's platform is built on modern principles derived from years of developing infrastructure for major financial institutions. This architecture allowed us to deliver a solution with exceptional speed.

Instead of a months-long integration project, we provided a direct path to compliance. Phantom supplied their raw transaction data, and our platform handled the entire technical process: transforming the data, generating thousands of compliant Large Virtual Currency Transaction Reports (LVCTRs), and transmitting them directly through our pre-built integration with FINTRAC's Gen 2 API. The entire solution was deployed and operational in a fraction of the time of a typical custom build.

The Results: Crisis Averted, Capability Advanced

The immediate result was the successful filing of nearly 2,000 LVCTRs, clearing the entire backlog in under two weeks, and ensuring Phantom's clients were compliant in time for the newly imposed deadline.

More significantly, what began as an emergency fix became a permanent strategic upgrade. By partnering with Rhizome, Phantom leapfrogged a complex development hurdle and enhanced its core operational capacity. They continue to batch-file reports weekly using Rhizome's technology. This newfound efficiency and technological resilience allow them to confidently pursue larger clients, new report types, and new jurisdictions, while adapting to future regulatory shifts with ease.

Rhizome came along at the perfect time for us. Their platform delivered on every promise. The entire solution was operational well ahead of schedule, and provided the exact solution we needed to navigate the shutdown.

Ryan Mueller, CEO, Phantom Compliance

Case Study: Custom Risk Infrastructure for High-Volume Check Cashing

How Rhizome built a tailored risk framework for a cheque cashing operation

Executive Summary

A high-volume cheque cashing operation in Toronto faced a major data bottleneck. Because they process cash-intensive transactions, their system generated complex data in a proprietary format that off-the-shelf compliance tools couldn't handle. They needed an infrastructure capable of handling non-standard data, enforcing granular risk controls unique to the cheque-to-cash lifecycle, and scaling without manual intervention.

The Challenge: Proprietary Data and Complex Risk Profiles

Cheque cashing is operationally complex and high-risk. Moving funds from a third-party cheque to hard cash requires strict, real-time monitoring. The client's data arrived in a dense, non-standard CSV format with over 50 fields tracking the originating cheque, business payee, and the physical conductor.

Standard anti-money laundering (AML) software doesn't natively understand the specific risk logic required for this business model. The client required a system that could evaluate highly specific variables, set tiered transaction volume thresholds for both individual and entity signatories (ranging from $30k over 30 days to $2M over a year), and automatically trigger risk overrides based on specific transaction patterns.

The Solution: External Factors, Data Mapping, and LLM Monitors

The client provided a highly specific sheet of risk and data requirements. Because Rhizome's core platform is architected to support arbitrary External Factors (user-defined rules and custom parameters), the system ingested these complex requirements and executed them with very few changes required on Rhizome's end.

Rhizome configured a specialized data mapping pipeline to ingest the proprietary format and normalize it into the standard schema. This mapped country names, date formats, and multi-party relationships across all 50+ transaction fields.

The risk architecture deployed included:

Custom External Factors: Tailored risk logic mapped directly from the client's operational specs, including tracking for Listed Person or Entity Property Reports (LPEPR).

Tiered Volume Triggers: Calibrated risk overrides for individuals and corporate entities with automated escalation pathways, such as automatically bumping an alert from Medium to High.

LLM Behavior Monitors: Layered Business and Personal Activity LLM monitors to continuously cross-reference actual transaction behavior against stated occupation or business purpose, catching anomalies that traditional logic misses.

The Results: Immediate Operational Automation

The operation moved from a fragmented, spreadsheet-heavy workflow to an automated compliance stack. Transactions are now ingested, normalized, and risk-scored instantly.

By leveraging Rhizome's native flexibility to handle custom external factors, the implementation was completed in weeks rather than months. Rhizome transformed a complex, hyper-specific requirements list into active software guardrails without requiring a bespoke, ground-up rewrite of the platform.

We brought Rhizome a complex operational reality and a highly specific set of requirements. They took our exact logic and turned it into active software in weeks, something that would have taken our internal team a year to build from scratch. The speed and precision of the deployment completely streamlined our compliance process.

Director of Compliance, Toronto Cheque Cashing Operation

Case Study: Swiss Market Entry, Under Budget, and in Record Time

How Rhizome delivered Swiss business and person onboarding in under two weeks

Following an audit, a fintech operating in Switzerland needed to rapidly update its onboarding infrastructure to meet localized regulatory standards. The compliance gaps spanned Qualified Electronic Signatures (QES), penny drop bank verification, SECO sanctions screening, and strict data residency constraints for AI features. Rhizome deployed full Swiss business and individual onboarding capabilities in under two weeks.

The Friction: Localized Swiss Requirements

Operating compliantly in Switzerland involves distinct jurisdictional hurdles that standard global onboarding platforms fail to support out of the box:

QES Ambiguity: The client faced uncertainty over whether Qualified Electronic Signatures were legally mandated for their onboarding flows, risking substantial, unnecessary vendor licensing costs.

Penny Drop Verification: Swiss banking regulations require micro-deposits to verify external account ownership—a sequential workflow absent from standard off-the-shelf software.

SECO Sanctions: The State Secretariat for Economic Affairs (SECO) maintains specific sanctions lists (notably Swiss-specific targets regarding Russia and Belarus) that are distinct from UN, EU, or OFAC lists.

Data Sovereignty (nFADP/GDPR): Utilizing advanced AI models for risk monitoring required strict, legally binding guarantees that financial data would not leave the EEA/EU region.

The Build: Targeted Workflows and Data Isolation

Rhizome bypassed the need for a ground-up system rewrite by leveraging our platform's native modularity to ship four distinct solutions simultaneously:

Regulatory De-risking: Rhizome mapped the Swiss legal framework and analyzed sub-processors to confirm QES was not mandatory for the client's specific business model, eliminating tens of thousands in unnecessary integration and licensing overhead.

Automated Micro-Transfers: We deployed a configurable penny drop verification loop directly into the onboarding workflow, initiating micro-deposits and verifying customer-returned amounts automatically.

SECO Engine Integration: SECO data feeds were integrated directly into Rhizome's core screening infrastructure to close the local sanctions blind spot. This is something every Rhizome customer can now benefit from.

EEA/EU Isolated AI Framework: To meet nFADP and GDPR requirements, we established a localized data routing framework. This allows the client to run frontier LLM models for transaction monitoring and narrative generation while ensuring data remains strictly isolated within the EEA/EU.

The Outcome: Accelerated Market Readiness

The fintech transitioned from an audit deficit to active, compliant onboarding for Swiss individuals and entities within 14 days. By leveraging Rhizome's existing core architecture, the implementation required no fundamental platform overhauls, solving the client’s immediate compliance gaps while maintaining full data residency compliance.

Rhizome cut through the regulatory noise and went above and beyond what was expected. They examined QES requirements and even met with vendors on our behalf to save us significant time and budget. They had us live in under two weeks without compromising our strict European data residency obligations.

Head of Compliance, Swiss-Focused Fintech

Case Study: Scaling STR Filing for a Major Canadian & International VASP

How Rhizome turned an audit discovery into a rapid STR production pipeline

Executive Summary

A routine audit at a prominent Canadian and international VASP uncovered a significant backlog of unreported suspicious activity. With hundreds of STRs to file and tight regulatory deadlines, the client needed a solution that could scale fast. Rhizome deployed its STR case management, narrative template, and AI narrative generation platform, enabling the filing of hundreds of Suspicious Transaction Reports in a matter of weeks.

The Challenge: A Sudden Reporting Gap

During a standard compliance audit, the client, a major VASP operating across Canada and multiple international jurisdictions, discovered that a specific pattern of fraudulent activity that should have been, but had not been reported to regulators. This left them with a stack of unreported suspicious transactions, each requiring a detailed STR narrative tailored to the specific fraud typology. Manual drafting was impossible at that volume, and the deadlines were non-negotiable.

The core challenge was twofold: first, they needed to build monitoring support for the specific fraud type the audit had uncovered; second, they needed to generate compliant, high-quality STR narratives for hundreds of cases in a compressed timeframe.

The Solution: Typology Templates and AI-Powered Narrative Generation

Rhizome's platform already supported comprehensive STR workflows for FINTRAC (Canada) and goAML-based jurisdictions internationally. We quickly configured the fraud typology identified by the audit as a new monitoring pattern, enabling automated detection of similar activity going forward.

For the backlog, we deployed our Narrative Template system, configurable templates that encode the specific facts, indicator codes, and legal language required for the fraud typology, combined with our AI narrative generation engine powered by frontier models. Compliance analysts could review each case, select the appropriate template, and generate a complete, regulator-ready STR narrative with a single click. The AI was guided by the template's structure, the selected suspicion indicators, and case-specific transaction data, ensuring consistency and compliance across hundreds of filings. This same workflow also supported the narrative generation for the "Action Taken" sections required by FINTRAC STRs.

The Results: Backlog Cleared, Process Transformed

The immediate result was the successful filing of hundreds of STRs within weeks, clearing the audit-discovered backlog ahead of any scrutiny from regulators. Every narrative was complete, consistent, and compliant with the requirements, saving months of manual analyst effort.

More importantly, the fraud typology identified by the audit is now a permanent, active monitoring rule in their Rhizome instance, ensuring that similar activity is detected and flagged proactively going forward. What began as an audit finding became a lasting improvement to their AML compliance posture, transforming an emergency remediation into a permanent operational upgrade.

Rhizome is at least twice as fast as traditional STR filing by hand.

Chief Compliance Officer, Major Canadian & International VASP

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