Traditional observability tools monitor:

• CPU usage
• Memory
• Logs
• Infrastructure metrics

But fintech systems don’t lose CPU.

👉 They lose money.

A 500ms latency spike in a payment gateway can silently block:

• SIP mandates
• UPI transactions
• Account Aggregator consent flows

Resulting in:

• revenue leakage
• failed settlements
• customer trust loss
• operational chaos

Existing tools show:

"Latency increased"

Conduit shows:

"₹8.4 Cr is currently at risk."

Conduit is a real-time financial observability and autonomous remediation platform designed for modern fintech infrastructure.

It continuously:

• monitors live banking APIs
• detects anomalies
• predicts failures
• quantifies revenue impact
• auto-recovers systems

—all in real time.

This is not a dashboard you monitor.

This is a financial command center you act on.

Conduit is designed around one question:

Everything in the UI, backend, ML systems, and workflows exists to answer that instantly.

Track:

• API latency
• failure rate
• throughput
• SLA degradation
• revenue impact

Live updates powered by:

• Kafka streams
• WebSockets
• event-driven architecture

Conduit predicts failures before they happen using:

Detects:

• latency spikes
• anomaly patterns
• degradation waves

Example:

"Partner UPI Node latency spike detected — 92% confidence"

Predicts:

• gateway instability
• cascading failures
• SLA breaches

Example:

"78% probability of failure within next 10 minutes"

Conduit doesn’t stop at alerting.

It:

• reroutes traffic
• switches failover paths
• retries failed flows
• restores SLA automatically

Result:

• reduced MTTR
• lower financial loss
• zero manual intervention

Unlike traditional tools:

Conduit maps technical failures → business impact.

Examples:

Conduit is optimized specifically for:

• PSP latency
• payment failures
• transaction routing
• bank node degradation

• mandate success rate
• payment authorization
• investment pipeline failures

• consent velocity
• FIP/FIU reliability
• RBI ecosystem monitoring

• audit visibility
• SLA breach tracking
• financial reliability reporting

Dashboard shows:

• ₹0 at risk
• 92 vitality score
• all systems healthy

A latency spike occurs:

• banner turns RED
• revenue risk starts increasing

Example: ₹1,000 → ₹5,000 → ₹50,000 → ₹8.4 Cr

Conduit predicts:

"Gateway instability likely within 10 minutes"

Traffic rerouted automatically:

• failover activated
• unhealthy node isolated
• retries initiated

System stabilizes:

• health score restored
• revenue risk returns to ₹0

Total resolution: ⚡ under 10 seconds

API Traffic
    ↓
Kafka Streams
    ↓
Metrics Engine
    ↓
ML Detection Layer
    ↓
Incident Engine
    ↓
Auto-Remediation
    ↓
WebSocket UI