Closed-loop, Self-healing Network Automation

We deliver AI-powered, closed-loop automation systems that detect, diagnose, and remediate network issues in real time—ensuring maximum uptime, reduced MTTR, and proactive resilience across enterprise and service provider networks.

Transformative Closed-Loop, Self-Healing Network Automation Services

Real-Time Fault Detection & Diagnosis

AI engines ingest logs, SNMP traps, and streaming telemetry to detect anomalies and pinpoint the root cause using correlation models.

Automated Remediation Workflows

We integrate orchestration platforms that automatically apply corrective actions such as rerouting, patching, or restarting network functions—without human input.

Predictive Failure Prevention

Time-series and graph-based ML models predict interface failures, congestion events, and hardware degradation before they impact service.

Intent-Based Policy Enforcement

Business intent is translated into self-correcting security and QoS policies that adapt dynamically to network state changes.

Cross-Domain Healing

Our solutions orchestrate healing across LAN, WAN, SD-WAN, data center, and cloud fabrics, ensuring end-to-end service continuity.

Continuous Learning Feedback Loop

Every remediation action feeds into reinforcement learning models, improving accuracy and response efficiency over time.

Cognitive Data and Storage Engineering

Real-world Solutions Delivered for Fortune 500 Companies

Telecom Core Network Resilience

Telecom Core Network Resilience

Reduced outage impact by 70% by deploying closed-loop fault detection and automated failover for 15,000+ network elements.

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Financial Services WAN Recovery

Financial Services WAN Recovery

Achieved near-zero downtime by automatically rerouting high-priority trading traffic during link congestion events.

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Retail Store Network Healing

Retail Store Network Healing

Resolved Wi-Fi and POS connectivity issues across 3,000 stores in real time, reducing field technician dispatches by 55%.

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Global Manufacturing Network Optimization

Global Manufacturing Network Optimization

Predicted switch port failures in factory networks, triggering auto-remediation scripts that prevented $4.5M in downtime losses.

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why-choose-aziro

Why Choose Aziro for Closed-Loop, Self-Healing Network Automation?

1

Real-time AI-driven fault detection and diagnosis

2

Autonomous remediation workflows without manual intervention

3

Predictive prevention of network failures

4

Cross-domain orchestration across enterprise and cloud networks

5

Reinforcement learning feedback loops for continuous improvement

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Ai-Led Outcomes.

Human-Centric Impact.

From Fortune 500s to digital-native startups — our AI-native engineering accelerates scale, trust, and transformation.

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Case Study

Unified AI-Augmented App Stack for an eCommerce Leader

Aziro delivered multiple cross-platform apps using ML-assisted code generation and real-time CI observability — enabling seamless integration across mobile, analytics, and operations layers.

5

Projects Delivered across brands

4+

Full-stack delivery with AI-led velocity

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Case Study

Autonomous, Private QA Agents for a Networking Giant’s Enterprise Testing

Aziro deployed local LLM-powered QA agents that auto-generated, optimized, and executed test scripts across critical software stack — without internet connectivity or cloud dependence.

80%

Reduction in manual testing

100%

Private, on-prem inference

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Case Study

AI-Led Payment Automation for a FinTech Leader

Aziro implemented an intelligent payment orchestration system powered by cognitive workflows and embedded anomaly detection, ensuring zero reconciliation errors across the financial lifecycle.

60%

Boost in processing speed

100%

Accuracy in audit reconciliation

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Case Study

Predictive Storage Intelligence for a Data Storage Leader

Aziro built an AI-powered observability layer that predicts bottlenecks, allocates resources dynamically, and enhances decision-making with ML-based usage trends.

30%

Gain in storage efficiency

24/7

Continuous AI-driven insights & alerts

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Case Study

AI-Enabled Claims Automation for an Insurance Giant

Aziro deployed a scalable, AI-native claims management platform with predictive triage, automated case routing, and observability built into the core — all running in a cloud-agnostic environment.

40%

Reduction in infra cost

99.9%

Uptime with intelligent failover

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Case Study

Scaling AI-Native Engineering

Aziro built a cross-functional engineering squad embedded with AI-augmented DevOps pipelines, reducing release cycles and delivering UI-rich SaaS modules at scale.

5x

Team growth in under 12 months

10+

AI-accelerated product modules shipped

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Aziro has been a true engineering partner in our digital transformation journey. Their AI-native approach and deep technical expertise helped us modernize our infrastructure and accelerate product delivery without compromising quality. The collaboration has been seamless, efficient, and outcome-driven.

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