Real-Time Transaction Observability for Banking

This results in:

• No end-to-end transaction visibility across systems
• Fragmented monitoring across latency, failure, and reconciliation signals
• Manual and time-intensive root cause analysis
• Delayed detection of transaction failures and downstream impacts
• High operational overhead for IT and operations teams
• Lack of audit-ready transaction lineage and traceability

As transaction volumes grow and systems become more distributed, traditional monitoring tools fail to provide actionable intelligence.

**Our Solution: Real-Time Transaction Observability (ElixirData)**

ElixirData (Context OS) provides a governed observability layer that compiles decision-grade context across banking systems.

It builds a **real-time semantic graph of transaction flows**, connecting:

• Core banking systems
• Payment gateways
• Reconciliation engines
• Settlement platforms

This enables:

• End-to-end visibility across transaction lifecycle
• Real-time anomaly detection (latency spikes, failed reconciliations, delays)
• Cross-system correlation of upstream and downstream failures
• Root cause identification with full transaction lineage
• Continuous monitoring and performance intelligence

Unlike traditional monitoring tools, ElixirData transforms fragmented logs into **contextual, decision-ready intelligence.**

**Key Benefits**

• 60–80% reduction in incident resolution time
• Complete visibility across transaction dependencies and flows
• Early anomaly detection to prevent downstream failures
• Improved reconciliation accuracy across systems
• Reduced manual investigation effort
• Enhanced system reliability and uptime
• Full audit-ready traceability for compliance

**Professional Services Scope**

We provide end-to-end services including:

• **Assessment & Discovery**
• Current-state system analysis
• Transaction flow mapping
• Observability gap identification
• **Implementation & Integration**
• Deployment of ElixirData on AWS
• Integration with core banking, payments, and reconciliation systems
• Setup of transaction context graph and monitoring pipelines
• **Managed Services**
• Continuous monitoring and optimization
• Anomaly detection tuning
• Incident response support
• Performance and cost optimization

**Ideal Customers**

• Banks and Financial Institutions
• Lending & Credit Organizations
• Payment Processing Platforms

**Buyer Personas**

• VP IT Operations
• Chief Data Officer (CDO)
• Banking Operations Teams
• Observability & Platform Engineering Teams