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Trustinera AI

Modules

Purpose-built modules covering categorisation, orchestration, reconciliation, and governance.

The Trustinera AI platform is structured into purpose-built modules that work together as one operating layer for financial intelligence.

Core modules

  • Categorise: Real-time transaction categorisation with AI, rules overrides, and explainability
  • TrustFlow: Live ingestion orchestration and pipeline management
  • Reconcile: AI-assisted matching, discrepancy handling, and finance close support
  • OpsIQ: Operational monitoring, anomaly detection, and run-state visibility
  • Sentrise: Security, governance, and platform control

How they work together

Data enters through TrustFlow, is structured and scored by Categorise, matched in Reconcile, monitored by OpsIQ, and governed through Sentrise. The result is a finance-grade chain of custody from ingestion to audit output.

Module coverage

Module claims now grounded in the current module, product, and workflow docs.

Legacy module naming in older docs is normalized on the site so the public-facing copy stays consistent.

Categorise

Categorise

Hybrid transaction categorisation with explainability, HMRC-aware taxonomies, confidence scoring, and human correction loops.

  • Rules, ML, and LLM fallback strategies in one categorisation flow
  • HMRC category support for self-employment and landlord scenarios
  • Feedback loops that feed corrections back into retraining
  • Monitoring and retraining workflows for sustained accuracy

TrustFlow

TrustFlow

The TrustFlow control plane spans ingestion, experiments, registry, promotion, deployments, prompts, agents, and runtime optimization.

  • Live data sources, ingestion databases, and DAG orchestration
  • Feature store, experiments, model registry, and prompt management
  • Policy-gated promotion, rollback, deployment history, and health checks
  • Agent orchestration, collaborative workspaces, and autonomous ops

Reconcile

Reconcile

Financial operations coverage spanning CRM, billing, invoicing, matching, discrepancy handling, and reporting.

  • Client management and sales funnel progression into billing items
  • Invoice generation, allocation, and billing period management
  • Bank reconciliation with AI-assisted matching
  • P&L reporting and accounting semantics for finance workflows

OpsIQ

OpsIQ

Operational visibility across logs, audit trails, alerts, metrics, service health, retention, and cron execution.

  • Structured logs and audit events with service attribution and correlation IDs
  • Alert rules, active alerts, history, acknowledgement, and resolution lifecycle
  • Metrics, SLO-oriented monitoring, health checks, and operational views
  • Observability data integrity rules and implementation planning

Sentrise

Sentrise

Adaptive fraud prevention and anomaly detection with fusion scoring, graph intelligence, and regulator-grade narratives.

  • 8-factor fusion engine with explicit weighting and factor-level explanations
  • Behavioral baselines, temporal fingerprints, and merchant affinity analysis
  • Graph analytics for mule networks, layering, collusion rings, and propagation
  • Compliance-ready reporting across AML, KYC, GDPR, PSD2, SOX, FCA, and PRA expectations

Where module coverage lives

The docs domains feeding the module story.

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