Overview

Anodot Payments Transaction Monitoring delivers autonomous, AI‑driven monitoring of payment ecosystems—analyzing granular metrics such as transaction counts, approval rates, fees, routing paths, declines, and API errors. It enables real‑time visibility and anomaly detection across all payment dimensions, supplying instant, contextualized alerts that include incident impact, timeline, and contributing factors. The platform correlates anomalies automatically, reducing alert noise and accelerating root‑cause analysis and remediation. It’s fully integrated, business‑friendly, and pre‑configured for rapid time‑to‑value.

Features and Capabilities

• **Detection & Monitoring: **Analyzes 100% of your payment data in real time, learning normal behavior across seasonal and time‑based fluctuations to surface true anomalies—no static thresholds required.
• **Actionable Alerts & Correlation: **Groups correlated anomalies into a single high‑impact alert and identifies event context (impact, timeline, geography, gateway, user segment). Alerts integrate with Slack, Jira, PagerDuty, email, or webhooks for streamlined workflows.
• **Autonomous & Business‑User Friendly: **Fully autonomous ML/AI platform—no thresholds to maintain, no data science skills needed. Business users can set up monitors via intuitive dashboards.
• **Root‑Cause Analysis & Prioritization: **Patented correlation engine helps determine root cause up to 50% faster and ranks alerts by severity and financial impact, reducing false positives by up to 90%.
• **Out‑of‑the‑Box Integrations & Metrics: **Comes pre‑configured with key payment metrics (approval rates, declines, fees, routing, API errors). Easy connectivity via API or built‑in collectors enables fast deployment.
• **Performance & ROI Gains: **Fintech users report up to ~80% faster detection, ~90% reduction in alert noise, and ~30% lower incident resolution costs.