Real-World
Results.
AI-powered network transformations delivering quantifiable ROI. These aren't hypothetical—they're production deployments.
AI-Driven Data Center Migration
The Challenge
Fortune 500 company needed to migrate 500+ network devices to Cisco ACI fabric without disrupting business operations. Traditional manual migration would take 18+ months with high risk of configuration errors.
Stack: Cisco ACI, Nexus 9K, VXLAN BGP EVPN, Claude AI, Python, Ansible
Our Solution
- RAG system ingested all existing documentation, runbooks, and configuration standards
- Claude-based agents generated migration configs with context-aware intelligence
- Custom validation agents tested configs in staging environment automatically
- Automated rollback procedures for zero-touch recovery if issues detected
Quantified Impact
Intelligent Security Policy Automation
The Challenge
Global enterprise managing 10,000+ firewall rules across Palo Alto Panorama. Annual compliance audits taking 3+ months with manual policy review. Conflicting rules causing security gaps and performance issues.
Stack: Palo Alto Panorama, GlobalProtect, Claude AI, Python API integration, RAG
Our Solution
- AI agent audits Panorama policies across all device groups and templates
- Intelligent conflict detection identifies shadowed, redundant, and contradictory rules
- Automated optimization suggestions based on traffic patterns and security best practices
- One-click remediation with automatic backup and rollback capability
Quantified Impact
Multi-Cloud Network Orchestration
The Challenge
Enterprise operating 15 data centers plus workloads in AWS, Azure, and GCP needed consistent network policy across all environments. Manual configuration changes took weeks and were error-prone.
Stack: AWS Transit Gateway, Azure Virtual WAN, GCP Cloud Interconnect, SD-WAN, MCP, Claude AI, Ansible
Our Solution
- Custom MCP servers created for each cloud provider (AWS, Azure, GCP)
- Claude orchestrates policy changes across all platforms with context awareness
- Ansible executes validated configurations with proper error handling
- Unified dashboard for visibility across all cloud and on-prem networks
Quantified Impact
Custom Network Provisioning Agent for ISP
The Challenge
Regional ISP provisioning new customer circuits manually—process took 2+ days per circuit with 40% error rate requiring truck rolls and rework. Customer satisfaction suffering.
Stack: ServiceNow API, Cisco IOS-XR/IOS-XE, Claude AI, Python, Ansible, automated testing
Our Solution
- Claude-based agent integrates with ticketing system (ServiceNow)
- Automatically generates device configurations based on circuit parameters
- Validates connectivity using automated testing before marking complete
- Self-healing capabilities detect and remediate common provisioning issues
Quantified Impact
Next-Gen Wireless & IoT Segmentation
The Challenge
Enterprise environment struggling with explosion of unmanaged IoT devices causing security risks on the Wifi network. Need to isolate Guest, IoT, and Corp traffic without complex login portals.
Stack: Cisco Catalyst Wireless, Aruba Mobility Controllers, ClearPass, Cisco ISE, IoT
Our Solution
- Deployed WiFi 6E architecture with Cisco Catalyst / Aruba Controllers
- Implemented WPA3 and MPSK (Multi Pre-Shared Keys) for IoT onboarding
- Aruba ClearPass / Cisco ISE policies for dynamic VLAN assignment
- Micro-segmentation to isolate thermostats, cameras, and sensors from Corp data
Quantified Impact
Why These Results Matter
For Executives
- 01. Faster time-to-value
- 02. Reduced operational costs
- 03. Minimized business risk
- 04. Improved satisfaction
For Engineers
- 01. Eliminate config drudgery
- 02. Focus on architecture
- 03. Production-ready code
- 04. You own what we build