How Regulatory Technology (RegTech) Works
RegTech solutions sit between your business operations and the regulatory requirements you must meet, automating tasks that compliance teams traditionally handled manually. They ingest data from your payment flows, customer onboarding processes, and transaction records, then apply rules engines, machine learning models, and real-time APIs to flag issues, file reports, and verify identities. The workflow below covers the core stages used by most payment-focused RegTech deployments.
Data Ingestion
RegTech platforms connect to your payment stack, core banking system, or merchant platform via API or file feed. They pull transaction data, customer records, and event logs in real time or on a scheduled basis, creating a unified compliance data layer that feeds all downstream screening and reporting modules.
Identity Verification and KYC Screening
Customer identity data is run against government ID databases, sanctions lists, politically exposed persons (PEP) registries, and adverse media sources. Know Your Customer (KYC) checks are automated at onboarding and re-run periodically to catch changes in customer risk profiles before they become regulatory exposure.
Transaction Monitoring and AML Screening
Anti-money laundering (AML) engines analyse payment flows against behavioural baselines and typology rules. Suspicious activity—structuring, rapid fund cycling, high-risk geography—triggers automated alerts or payment holds, which are routed to compliance officers for human review and disposition.
Regulatory Reporting
RegTech aggregates compliance data and formats it according to schemas required by regulators—central banks, financial intelligence units, card networks. Automated report generation and submission reduces the risk of late or inaccurate filings that attract penalties or trigger examinations.
Audit Trail Generation
Every compliance action—screening result, alert decision, report submission—is logged with timestamps and operator notes, creating an immutable audit trail. This documentation is critical during regulatory examinations, card network audits, or internal risk reviews.
Regulatory Change Management
Advanced RegTech platforms monitor regulatory publications and translate new rules into updated screening parameters or reporting templates, reducing the lag between a rule change and your operational compliance. This is especially valuable for merchants operating across multiple jurisdictions simultaneously.
Why Regulatory Technology (RegTech) Matters
Compliance has become one of the largest cost centres in financial services, and that burden is increasingly shared by merchants and payment businesses—not just banks. The volume, velocity, and cross-border complexity of modern payment flows make manual compliance operationally and economically unsustainable at any meaningful scale.
The global RegTech market was valued at approximately $12.8 billion in 2023 and is forecast to reach $85.9 billion by 2032, growing at a CAGR of over 23% (Fortune Business Insights, 2024). This growth reflects exploding regulatory complexity—the number of distinct regulatory changes tracked globally exceeded 50,000 per year in recent periods, according to Thomson Reuters Regulatory Intelligence, spanning updates to AML directives, data protection laws, open banking frameworks, and card scheme rules.
Financial institutions spend over $270 billion annually on financial crime compliance alone (LexisNexis Risk Solutions, 2023 True Cost of Financial Crime Compliance Study). Automated RegTech solutions can reduce compliance programme costs by 30–50% compared with manual workflows, primarily by cutting staff hours on repetitive screening tasks and lowering false positive rates in transaction monitoring. For payment businesses specifically, the stakes are direct: a PCI DSS Level 1 audit failure can cost merchants hundreds of thousands of dollars in fines and remediation. Deploying compliance automation turns reactive fire-fighting into proactive, measurable risk management.
Historical context
The RegTech sector accelerated sharply after the 2008 financial crisis and the subsequent wave of regulation—Dodd-Frank, EMIR, MiFID II, GDPR—that increased compliance complexity beyond what spreadsheets and manual review could handle at the pace and volume modern payment businesses require.
Regulatory Technology (RegTech) vs. Manual Compliance
RegTech and manual compliance pursue the same goal—meeting regulatory obligations—but differ fundamentally in speed, cost, and scalability. Understanding these differences helps merchants make accurate build-vs-buy decisions and right-size their compliance investment relative to transaction volume and regulatory footprint.
| Dimension | RegTech | Manual Compliance |
|---|---|---|
| Speed | Real-time or near-real-time screening and reporting | Hours to days per review cycle |
| Scale | Handles millions of transactions without added headcount | Headcount scales linearly with transaction volume |
| Consistency | Rules applied uniformly every time | Human variability; fatigue introduces errors at high volume |
| Cost structure | High upfront integration cost; low per-transaction marginal cost | Low setup cost; high ongoing staff and audit expenditure |
| Regulatory change | Rules updated via vendor patches or configuration | Requires staff retraining and procedure rewrites |
| Audit readiness | Automatic logs and exportable evidence packages | Manual documentation; gaps and inconsistencies are common |
| False positive rate | Tunable via machine learning and analyst feedback loops | Harder to calibrate; systems tend toward over-flagging |
| Multi-jurisdiction coverage | Simultaneous multi-regulation, multi-market monitoring | Typically single-region expertise per compliance team member |
Manual compliance retains advantages in edge cases requiring genuine judgment—complex fraud investigations, novel transaction patterns, or unusual customer circumstances. Most mature programmes combine RegTech automation with experienced human oversight rather than treating the two as mutually exclusive.
Types of Regulatory Technology (RegTech)
RegTech is not a single product category. It encompasses a range of solutions addressing distinct compliance functions, and most payment businesses will deploy several types simultaneously to cover their full regulatory surface area.
Identity Verification and KYC Automation platforms (Jumio, Onfido, Persona) use document scanning, biometric matching, and database lookups to automate customer identity checks at onboarding and during periodic reviews—typically the highest-volume compliance touchpoint for merchant platforms.
AML Transaction Monitoring engines (NICE Actimize, Featurespace, Hawk AI) apply rule-based and machine-learning models to detect suspicious payment patterns in real time, generating SAR-ready case files with evidence packages for compliance officers to review and file.
Regulatory Reporting Tools (Vizor, BearingPoint Abacus) automate the aggregation, formatting, and submission of structured reports required by central banks, financial intelligence units, and card networks on daily, monthly, or event-driven schedules.
Risk and Compliance Management Platforms (MetricStream, LogicGate) provide a centralised dashboard for tracking compliance obligations, testing internal controls, and managing audit evidence across the organisation.
Regulatory Change Management Tools (Thomson Reuters Regulatory Intelligence, Ascent) monitor regulatory publications globally, map new rules to internal policies, and surface action items for compliance teams—reducing the time from regulatory publication to operational update.
Sanctions and PEP Screening Services (Refinitiv World-Check, Dow Jones Risk & Compliance) provide continuously updated watchlists and adverse media databases for use in both customer onboarding and ongoing transaction monitoring.
Best Practices
For Merchants
Start with the compliance requirements that carry the highest financial and operational risk—AML and KYC for onboarding, and card scheme obligations for transaction processing. Map your current manual processes before selecting a RegTech vendor, so you can evaluate whether the tool's data model matches your existing flows rather than forcing a redesign. Ensure the vendor provides clear SLAs on watchlist refresh frequency, uptime, and data accuracy; these directly affect your compliance posture. Review your false positive rate quarterly—an over-sensitive AML system that blocks legitimate customers creates revenue loss that can rival the compliance risk itself. Work with your payment orchestration provider to embed compliance checks at the API layer so screening executes before authorisation is dispatched to the processor, not after the fact.
For Developers
Design your integration so RegTech API calls run asynchronously where latency allows, to avoid adding measurable friction to checkout or onboarding flows. Build explicit fallback logic for when a RegTech service is unavailable—define whether your default is to block or to allow transactions in a degraded state, and document this decision for compliance sign-off before go-live. Use webhooks rather than polling for alert delivery to keep your system event-driven and responsive. Store every RegTech API response—including clean screening results, not just alerts—with immutable timestamps, since this data forms your audit trail in the event of a regulatory examination. Keep API credentials scoped to least privilege and rotate them on a defined schedule. When operating across jurisdictions, parameterise your RegTech configuration by market so you can apply region-specific rules without requiring code deployments.
Common Mistakes
Over-relying on RegTech as a complete compliance solution. RegTech reduces manual workload significantly but does not eliminate the need for human compliance expertise. Regulators expect humans to review alerts, exercise judgment on suspicious activity reports, and understand the rules in context. Treating automation as full compliance delegation creates accountability gaps that surface badly during examinations.
Neglecting ongoing model tuning. Out-of-the-box AML thresholds are calibrated for generic transaction profiles, not your specific customer mix. Failing to tune models against your actual data leads to high false positive rates that slow operations and frustrate customers—or, worse, false negatives that miss genuine suspicious activity entirely.
Ignoring data quality upstream. RegTech is only as accurate as the data fed into it. Inconsistent customer record formats, missing transaction metadata, or siloed data systems degrade screening precision regardless of how sophisticated the RegTech engine is. Compliance data pipelines require the same engineering discipline as any production data system.
Skipping regulatory sandbox testing before production deployment. Pushing RegTech configuration changes directly to production without validation risks misconfigured rules blocking large volumes of legitimate transactions during peak trading periods—a scenario that is both commercially damaging and difficult to explain to regulators.
Treating vendor compliance certifications as your own. A RegTech vendor may hold ISO 27001 certification or a SOC 2 Type II report, but those attestations cover the vendor's systems, not your compliance programme. You remain responsible for your regulatory obligations—vendor certifications are inputs to your risk assessment, not substitutes for your own controls.
Regulatory Technology (RegTech) and Tagada
Payment orchestration platforms like Tagada sit at the centre of transaction flow across multiple acquirers, processors, and payment methods—making them a natural integration point for RegTech tooling. By routing all payments through a single orchestration layer, merchants can apply consistent compliance checks across every payment method and processor without building separate integrations for each acquirer relationship.
Centralising compliance at the orchestration layer also simplifies audit readiness: all compliance decisions, screening results, and routing events are captured in one place rather than scattered across multiple processor dashboards and portal exports. For merchants operating in multiple markets, routing rules can be combined with RegTech configuration profiles to apply market-specific PCI DSS and AML requirements without duplicating infrastructure or maintaining separate compliance stacks per region.
Tagada's orchestration layer lets you attach RegTech screening steps as middleware in your payment routing logic. KYC and AML checks execute before the transaction is dispatched to the processor, giving you a unified compliance decision point regardless of which payment rail, acquirer, or geography is involved—and a single audit log to present during regulatory examinations.