Iris – AI Pattern Oracle

Enterprise Analytics Intelligence Challenge

Enterprises operate in highly dynamic environments where decisions depend on timely, accurate interpretation of data from multiple systems such as ERP, CRM, POS, eCommerce, and operational platforms. Traditional BI tools focus on static dashboards and retrospective reporting, forcing analysts to manually correlate metrics, investigate anomalies, and explain trends after business impact has already occurred. This leads to delayed insights, high dependence on specialized analysts, limited explainability, and missed early warning signals during periods of rapid change or peak data volumes.

Our Solution: Iris — AI Pattern Oracle Iris — AI Pattern Oracle is an AWS-native, AI-powered analytics intelligence solution that autonomously detects patterns, anomalies, correlations, and leading indicators across enterprise data. It continuously analyzes real-time and historical datasets to surface proactive insights and generate narrative explanations that describe what is happening, why it is happening, and what may happen next. Built on a scalable AWS architecture, Iris integrates with existing enterprise systems and BI tools via secure APIs, augmenting traditional analytics with autonomous, explainable intelligence without disrupting current workflows.

Key Benefits & Business Outcomes

1. Proactive detection of anomalies, trend shifts, and early signals for faster decision-making

2. Reduced manual analysis effort through automated pattern discovery and correlation analysis

3. Clear, narrative-driven insights that improve explainability and business understanding

4. Faster insight-to-action cycles with continuous real-time analytics

5. Scalable, secure AWS-native architecture for high-volume enterprise data environments

Ideal Users / Organizations

Iris is ideal for enterprises across retail, BFSI, manufacturing, supply chain, and digital commerce looking to move beyond static dashboards to autonomous analytics intelligence. It serves business leaders, operations and strategy teams, analysts, and data science organizations that need real-time visibility, explainable insights, and scalable AWS-native analytics to improve forecasting, agility, and decision-making.