Revolutionizing Business Operations with Intuitive, Low-code AI Agent Solutions

On-demand, customisable AI agents that enhance business processes with powerful industry-specific ML, AI, and LLM capabilities

Trusted by visionary

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Explore ViNG’s Use Case Intelligence

ViNG’s Agentic AI is built to adapt across industries. Here are some of the most impactful use cases where our Agentic AI has driven measurable outcomes.

AI-Enabled Proactive Alarm Detection

NetoAI’s Alarm Prediction Agent to proactively prevent network disruptions by forecasting critical alarms before they are triggered, using real-time and historical data from alarms, faults, performance metrics, and engineering activity. This data-driven foresight improves uptime and significantly reduces incident escalations

80% Alarms Predicted Before Trigger
92% Precision
50% Reduction in Critical Incidents
Network Testing Device

Autonomous Customer Operations

An intelligent, multilingual agent accessible via web, mobile, and call center that handles product recommendations, offers, billing queries, and L1 support in text and voice for ensuring consistent, context-aware experiences across all customer journeys, reducing wait times, improving self-service adoption, and driving higher satisfaction, conversion, and operational efficiency at scale.

30% Improvement in Call Deflection
12% Increase in TopLine Revenue
99% Right First time
40% Improvement in Call Handling time
Sales Analytics Dashboard

AI-Powered Network Troubleshooting

ViNG's AI-Powered Network Troubleshooting Agent enabled a major US QoE provider to streamline fault resolution by rapidly identifying root causes across live network data—reducing troubleshooting time from 30 minutes to just 2 minutes

15x Faster Troubleshooting
93% Accuracy
40% Improvement
Troubleshooting Interface

Intelligent Product Configuration & Pricing

NetoAI’s Competitor Analysis Agent for Product teams deliver AI-curated insights from live data on competitor features, pricing, and launches, tailored for your  region and segment, while performing pricing model and creating product model & configuration templates to seamless integrate with MDM/ CRM application to speed up the time to market

70% Faster Competitive Response
95% Insight Accuracy
30% Reduction in Manual Research Effort
Product Ecosystem
Network Testing Device

AI-Enabled Proactive Alarm Detection

NetoAI’s Alarm Prediction Agent to proactively prevent network disruptions by forecasting critical alarms before they are triggered, using real-time and historical data from alarms, faults, performance metrics, and engineering activity. This data-driven foresight improves uptime and significantly reduces incident escalations

80% Alarms Predicted Before Trigger
92% Precision
50% Reduction in Critical Incidents
Sales Analytics Dashboard

Autonomous Customer Operations

An intelligent, multilingual agent accessible via web, mobile, and call center that handles product recommendations, offers, billing queries, and L1 support in text and voice for ensuring consistent, context-aware experiences across all customer journeys, reducing wait times, improving self-service adoption, and driving higher satisfaction, conversion, and operational efficiency at scale.

30% Improvement in Call Deflection
12% Increase in TopLine Revenue
99% Right First time
40% Improvement in Call Handling time
Troubleshooting Interface

AI-Powered Network Troubleshooting

ViNG's AI-Powered Network Troubleshooting Agent enabled a major US QoE provider to streamline fault resolution by rapidly identifying root causes across live network data—reducing troubleshooting time from 30 minutes to just 2 minutes

15x Faster Troubleshooting
93% Accuracy
40% Improvement
Product Ecosystem

Intelligent Product Configuration & Pricing

NetoAI’s Competitor Analysis Agent for Product teams deliver AI-curated insights from live data on competitor features, pricing, and launches, tailored for your  region and segment, while performing pricing model and creating product model & configuration templates to seamless integrate with MDM/ CRM application to speed up the time to market

70% Faster Competitive Response
95% Insight Accuracy
30% Reduction in Manual Research Effort

Core Capabilities of ViNG’s Agentic AI

Create, Maintain & Monitor AI Agents

Build & manage AI agents using ViNG’s context-aware conversational engine for adaptive performance and operational efficiency

AI Governance

Ensure secure, transparent, and compliant AI operations with full visibility, policy control, and audit-ready governance

Multi-channel Support

Deploy intelligent agents across all communication channels—web, mobile, APIs, and more

Multi-agent orchestration (Support A2A and MCP)

Enable seamless agent-to-agent communication and Multi-Channel Protocol (MCP) integrations to accelerate automation

Continuous Learning

ViNG evolves in real-time by learning from contextual data, continuously optimising decisions and improving customer outcomes

Multilingual Support

Engage users globally with ViNG’s context-aware conversational engine supporting accurate, multilingual AI conversations

The ViNG Workflow

ViNG, powered by NetoAI TelcoCore, equips enterprises with a no-code Multi Agentic AI platform to rapidly build and manage intelligent agents, driving automation, operational intelligence, and decision support across business functions at scale

Step 1

Use Case Identification

Identify workflows constrained by manual dependencies, repetitive processes, and reactive decision-making, to unlock proactive Agentic Intelligence that drives measurable improvements in customer experience, operational agility, and ROI

Step 2

Application Integrations

Connect enterprise systems, documents, and datasets through a guided no-code flow, enabling application discovery, context awareness, and real-time data as listed APIs to support AI agents for application workflows, intelligent insights, and information retrieval

Step 3

Agent Creation

Configure AI agents through a low-code/no-code interface by defining their role, purpose, and simply adding application APIs, enabling intelligent agent-to-agent collaboration and enterprise-grade multi-agent orchestration across dynamic business workflows

Step 4

Governance

Establish robust controls with built-in feedback loops, guardrails against hallucinations, role-based access, and self-learning capabilities — ensuring responsible, auditable, and compliant agent behavior at scale

Step 5

Manage & Monitor

Centrally manage all deployed agents with real-time dashboards that track performance, usage trends, learning progress, and operational KPIs — enabling continuous optimization across the enterprise

Top Resources for You

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