Agents

ChordianAI’s modular architecture is built around reusable AI Agents, each designed to perform a specific function — from data ingestion to analysis, optimization, and orchestration. They can be combined into complex workflows or used individually.

3.3.1 Data & Knowledge Agents

List Builder

Compiles and structures entity lists from diverse sources (CRMs, databases, APIs, documents).

AI Search

Semantic and graph-augmented search across enterprise-wide data, including documents, logs, databases, and knowledge graph entities.

Knowledge Graph

Builds and queries entity-relationship graphs across organizational domains — connecting people, projects, systems, vendors, and data assets.

Data Connector

Ingests live data from enterprise sources: AWS, Azure, Snowflake, SAP, Salesforce, and SQL databases.

Data Cleaner

Performs data quality checks, normalization, deduplication, and preprocessing for downstream analysis.

3.3.2 Analytical & Predictive Agents

AI Analyzer

Conducts multi-dimensional analysis across structured and unstructured data — trend detection, classification, clustering, and segmentation.

UniForecaster

Universal forecasting agent that generates time-series predictions for demand, cost, revenue, churn, usage, and operational metrics.

Anomaly Detector

Identifies outliers, irregular patterns, and threats across data streams — financial transactions, sensor data, infrastructure metrics, and user behavior.

Scenario Simulator

Generates and evaluates what-if scenarios across business dimensions — pricing changes, demand shifts, resource constraints, and policy impacts.

3.3.3 Automation & Action Agents

Optimizer Engine

Constructs and executes optimization routines using classical solvers, metaheuristics, ML-guided search, and optional quantum backends.

Alert Agent

Triggers notifications, escalations, and automated responses based on detected events, thresholds, or workflow conditions.

Output Agent

Exports results to dashboards, APIs, files, Slack, Teams, PowerBI, and other communication or visualization tools.

Workflow Builder

No-code visual canvas for designing, connecting, and configuring agents and data flows into executable workflows.

3.3.4 Compute & Infrastructure Agents

Workflow Orchestrator

Executes workflows across hybrid compute environments (CPU, GPU, cloud, on-prem, quantum) with logging, retry logic, and governance enforcement.

AI Problem Analyzer

Translates natural-language business objectives into executable, agent-level workflow specifications.

Workflow Analyzer

Detects inefficiencies, redundancy, or missing connections in workflows — performs cost and runtime optimization audits.

Agent Architecture

Every agent shares a common architecture:

Agents allow enterprises to reuse, combine, and orchestrate intelligence without rebuilding the same logic each time. They are modular, interoperable, and can run independently or as part of a larger workflow.