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Transaction Monitoring
Services

Secure growth requires clear sight across every payment flow. At Dolabyte, our transaction monitoring service gives you that visibility—detecting anomalies, prioritising risk and orchestrating decisive action in real time and at scale. Built for fintechs, payment processors, marketplaces and enterprise merchants, it delivers the precision and resilience today’s digital commerce demands.

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Who benefits?

PSPs, acquirers and processors aiming to protect their networks, lower chargebacks and provide differentiated risk services.
Marketplaces and platforms managing multi-party risk, seller onboarding, disbursements and complex money movement
Enterprise merchants looking to cut false declines, prevent account abuse and reconcile transactions cleanly.
Fintechs scaling rapidly who need enterprise-grade risk controls with modern integration, explainability and operational efficiency.

What it covers

Our services and algorithms monitor authorisations, clears and settles across cards, A2A (including Open Banking), wallets, BNPL, instant payments and bank transfers. We augment transactional data with device intelligence, behavioural telemetry, KYC/KYB attributes, sanctions and PEP screenings, chargeback histories, consortium inputs and your internal risk signals. The result is a consolidated risk picture that travels with each payment, from intent to settlement.

How it works

High-throughput connectors and streaming pipelines normalise disparate formats from gateways, cores, ledger systems and third-party tools. We support real-time feeds and batch files with deterministic reconciliation of duplicates and late arrivals.

We build dynamic features such as velocity, value dispersion, merchant history, device consistency, session entropy, beneficiary graph proximity and geospatial deviation. Features are computed on the fly and persisted for longitudinal analysis.

A layered approach combines rules, supervised models, unsupervised anomaly detection and network analytics. Rules capture policy and regulatory requirements; machine learning models generalise patterns; graph techniques surface collusive activity and mule networks; anomaly scores flag novel behaviours.

Each event receives a composite score with human-readable rationales, referencing contributing features, rule hits and network signals. This supports adverse action documentation and strengthens compliance.

Based on score and policy, we route to outcomes—approve, step-up authentication, hold for review, decline, or trigger AML investigation. Playbooks control SLAs, queues and escalation paths, integrating with case management and customer comms.

Analyst decisions, chargebacks, confirmed fraud and SAR outcomes feed continuous model calibration. A/B frameworks allow safe testing of strategies with guardrails on customer impact.

Dashboards track hit rates, false positive ratios, time-to-decision, loss rates and operational workload. Audit trails capture every change to rules, models and thresholds with versioning and approvals.

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Why our monitoring is different

Precision at scale

Architected for high volume and low latency, our platform handles peak loads without sacrificing detection quality. Median decision latency is measured in milliseconds..

Lower false positives

Hybrid models and context-aware rules reduce noise, enabling analysts to focus on material risk. Clients typically see double-digit reductions in false positives within the first optimisation cycle.

Graph-native insights

We enrich events with entity resolution and relationship graphs to expose mules, collusion and synthetic identities that single-even scoring might miss.

Explainable AI

Every automated decision carries clear reasons and impact weights, enabling transparent reviews and regulatory confidence under FCA, PSD2/SCA and AML/CTF regimes.

Deployment choice

Cloud, on-premise or hybrid, with containerised components and modern APIs. We integrate into existing stacks—no forced rip-and-replace.

Secure by design

Data minimisation, encryption in transit and at rest, fine-grained access controls and privacy-preserving techniques where appropriate.

Operational fit

Queue design, workload forecasting and investigator tooling are built with your teams, improving throughput and consistency.

Time to value

A phased activation plan brings high-impact controls online first, followed by deeper optimisation as feedback accrues.

We begin with a diagnostic that maps your payment journeys, risk appetite, regulatory obligations and current control landscape. From there we:

  • Define risk taxonomy and key risk indicators aligned to your products and channels.
  • Integrate data sources and establish quality baselines, with clear SLAs for timeliness and completeness.
  • Co-design detection strategies, calibrating thresholds to your loss tolerance and customer experience targets.
  • Stand up case management workflows, integrating with CRM, ticketing and investigation tooling as needed.
  • Train teams on alert handling, disposition codes and evidence requirements to ensure consistent outcomes.
  • Establish governance: change control, model risk management, challenger testing and periodic effectiveness reviews.
  • Reduced fraud and abuse, including account takeover, first-party fraud, mule facilitation and chargeback exposure.
  • Lower operational cost per case through smarter triage, better queues and fewer false alarms.
  • Faster, more consistent decisions with improved SLA adherence and audit readiness.
  • Enhanced customer experience via fewer false declines and targeted step-ups.
  • Stronger AML/CTF posture with documented rationales and comprehensive audit trails
  • Cleaner downstream processes through accurate event labelling and reconciled data.

We connect to gateways, issuers, processors, data providers and internal systems via REST and streaming APIs. Webhooks support event-driven orchestration; SDKs accelerate integration. For organisations with existing tooling, we complement rather than replace—ingesting alerts, enriching them and returning decisions or additional context.

Threats evolve. Our service includes ongoing model monitoring, drift detection, periodic recalibration and rule hygiene. We publish regular performance reports with agreed KPIs and co-sponsor roadmap items to address emerging typologies and regulatory change.

Trust, measured

We measure success in outcomes that matter to you: fraud capture lift, false positive reduction, time-to-decision, chargeback rate, investigation throughput and net revenue preserved. Targets are set, tracked transparently and reviewed jointly.

See more, act faster, risk less.

Speak to our team to explore how our transaction monitoring service can strengthen your controls and deliver measurable results. Schedule a consultation to get started.