Overview

AGENTNEXT delivers ready-to-use, autonomous AI agents, including banking assistants, contact center assistants, customer assistants and more. It is powered by Thinking Brush™ - Agentic AI Reasoning Engine. AGENTNEXT is designed to empower businesses with AI agents that can automate tasks, improve customer experience, and drive revenue growth. It unifies customer data and interactions across channels on a single platform, eliminating complex integrations, processes massive, diverse data streams for real-time decision-making, and allows you to deploy your AI Agents in a private cloud environment of your choice with maximum control, accuracy, and security using Hyper SaaS. With reported accuracy of 90% in complex task executions (as reported by beta users), AGENTNEXT offers a range of AI Agents tailored for specific industries and functions.

Features

• Thinking Brush™ - Agentic AI Reasoning Engine: Brings explainability to AI agents with the capability to audit each and every decision which the agent takes and navigate complex financial scenarios.
• Single Entity Model: Unifies customer data and interactions across channels on a single platform, eliminating complex integrations.
• Real Time Business Fabric: Processes massive, diverse data streams for real-time decision-making.
• Hyper SaaS: Deploys AI Agents in a private cloud environment with maximum control, accuracy, and security.
• AI Agent Studio: Features a drag-and-drop interface for agent design, offering pre-built templates for common agent types alongside NLP configuration tools, machine learning model integration, and API connection wizards for seamless data source linking.
• Prompt Context Builder: Customize prompt contexts by mapping data fields from customer, lead, case, contact, transactions for configuring well-structured context.
• Guardrail Configuration: Set generative AI prompt outcome boundaries preventing undesired or harmful responses, maintain brand consistency, and align content with compliance requirements, enhancing control and reliability in AI-generated outputs across various applications.
• Model Garden: Use and reuse ready-to-use AI models for Model Garden, which is a universal repository of all the native and integrated AI models, with a two-step process flow to include pre-configured and customizable AI models as per the organizational policies and industry best practices.

AI Agents for Banking

• Contact Center Agent
• Virtual Customer Agent
• Banker Assistant
• Intelligent Document Processing Agent
• Personalized Marketing Agent
• Banking Fraud Detection/ Prevention Agent
• KYC/KYB Agent
• Loan Origination Agent
• Balance Sheet Analysis Agent
• Compliant Management Agent

AI Agents for Insurance

• Policy Summarization for Servicing Agent
• Personalized Marketing Agent
• Claims FNOL Agent
• Data Ingestion Agent
• Regulatory Compliance Agent

AI Agents for Sales

• Meeting Agent
• Lead Generation & Qualification
• Personalized Financial Advisors
• Lead Nurturing
• Cross Sell/Up Sell
• Sales Coach

AI Agents for Service

• Customer Support Agent
• Complaint Management Agent
• Status Enquiry Agent
• Fraud Prevention

AI Agents for Autonomous Lending

• Multi-Bureau Credit Analyzer
• Multi-Bank Statement & Balance Sheet Analyzer
• Credit Summarization
• Repayment Planner Agent