Transaction Insights
From raw messages
to real-time intelligence.
faster response times
for payment queries
faster investigations
Tier 1 bank benchmark
data retention
audit-ready, always
How it works
One unified intelligence layer.
Raw financial messages
Message Warehouse
Transaction Analytics
Actionable intelligence
Start with messages.
Advance to transactions.
Message Warehouse
Centralized management and real-time retrieval of financial messages.
Overwhelmed by fragmented, format-specific messages scattered across systems? Message Warehouse is your single source of truth for all financial messages — consolidating years of multi-format transaction data into one searchable repository. Retrieve any message in seconds, reduce compliance overhead, and respond to audits without burdening core systems.
Key capabilities
Multi-format warehouse
SWIFT MT/MX, ISO 20022, SIC, FedNow & proprietary formats — 10+ years
High-speed search
Google-like retrieval across billions of messages — full-text, form, and facet
Dynamic dashboards
Customizable portlets, KPI views, and drill-down analytics
SLA monitoring
Dynamic alerting
Real-time rule-based alerts on message characteristics, volumes, and anomalies — adaptive thresholding with business calendar awareness
Transaction Analytics
Centralized transaction data and advanced analytics for enhanced decision-making.
Key capabilities
Transaction correlation
Reconstructs complete virtual transactions from individual events via the Correlation Engine
KYT enrichment
Injects AML scores, sanction checks, fraud results, and gpi tracker data into every transaction
Real-time dashboards
Volume, value, and status analytics across all transaction types and channels
Automated reporting
Regulator-ready exports in PDF, CSV, and XML — generated in seconds
360° transaction view
Drill down from transaction to events to raw message — answering “Where is my payment?” in seconds, with full audit trail from initiation to settlement
Why Transaction Insights?
Single window access
for all financial messages & transactions.
Like Google indexing the web, Transaction Insights indexes every message across every system — then goes further, reconstructing full transaction lifecycles and surfacing the intelligence your teams need to act. It strengthens regulatory compliance and day-to-day risk management by making every message traceable and every decision defensible.
- Format-agnostic — Swift MT, ISO 20022, SIC, proprietary formats...
- Non-intrusive integration — zero risk to live payment flows, no changes to core systems
- Sub-second retrieval across billions of messages stored over 10+ years
- Self-service for business users — no SQL, no IT dependency, no manual extraction
- Audit-ready evidence in minutes — not days — for regulators and investigators
Customer success stories
“With the solutions, we have all the relevant transaction data in one source, and we have gone from taking several hours to create different SQL statements to a near-time analysis.
Now everything is combined, we have analytics running on top of it, and we are now in the position to give straight answers towards our customers, and by this have a much, much better time to market, and increase the satisfaction of our response.”
GET IN TOUCH
Turn your messages into
actionable intelligence.
See how Transaction Insights gives your teams instant access to every financial message — and the structured transaction intelligence to act on it, in real time.
FAQs
What is transaction intelligence, and why does it matter?
Transaction intelligence is the practice of turning raw transaction data into a structured, correlated view that people can search and act on. Instead of chasing individual messages across disconnected systems, teams see the full lifecycle of a payment in one place. That foundation supports faster investigations, cleaner regulatory compliance, and stronger risk management, because every decision can be traced back to source evidence.
How does analytics reduce false positives in fraud detection?
Traditional rules flag anything that breaks a threshold, which buries analysts in noise. Applying machine learning and anomaly detection to enriched transaction data learns what normal behavior looks like, so a transaction monitoring system can prioritize genuine risk and cut false positives. The result is sharper fraud detection and less time wasted on alerts that lead nowhere. Increasingly, agentic AI takes this further by triaging and assembling context automatically.
