GoZupees Completes Three-Agent ISP Deployment — Network Support, Customer Service, and Field Engineering AI Live
LONDON — March 2026 — GoZupees (Silicon Biztech Limited) today announced the completion of its first full-stack ISP AI deployment, with three distinct AI agents now live across network support, customer service, and field engineering operations for a UK internet service provider.
The engagement marks a strategic milestone for GoZupees: proof that its white-label, multi-tenant agent architecture can power an ISP’s entire customer-facing and operational AI stack from a single platform, under the client’s own brand.
Three Agents, Three Domains
The deployment spans three purpose-built AI agents, each serving a distinct operational function:
NetworkAssist — Network Support Agent
- 90%+ first-contact classification accuracy across fault types including broadband dropouts, latency spikes, DNS failures, and CPE misconfigurations
- Automated diagnostic workflows that interrogate network elements, correlate symptoms with known issues, and resolve common faults without human escalation
- Seamless handoff to L2/L3 engineers for complex issues, with full diagnostic context transferred automatically
SupportAgent — Customer Service Agent
- White-label deployment operating under the ISP’s own brand identity, voice, and tone
- Multi-tenant architecture enabling a single platform instance to serve multiple ISP brands with isolated data, branding, and business rules
- Handles billing enquiries, package upgrades, service activations, appointment scheduling, and complaint management
FieldAssist — Field Engineering Agent
- On-site guidance for field engineers via voice and text, providing real-time troubleshooting workflows for CPE installation, fibre splicing, cabinet work, and service activation
- Access to network topology, customer records, and historical fault data during field visits
- Automated job completion reporting and next-action recommendations
White-Label Multi-Tenant Architecture
The white-label multi-tenant architecture proven in this deployment is a strategic capability for GoZupees’ ISP market expansion. Key architectural features include:
- Brand isolation — Each tenant operates with its own brand identity, greetings, escalation paths, and business rules, with zero cross-tenant data leakage
- Shared intelligence — Underlying AI models benefit from aggregated learning across tenants while maintaining strict data separation
- Single-pane management — ISP groups operating multiple brands can manage all agents from a unified administration console
- Rapid tenant provisioning — New brands or sub-brands can be onboarded in days rather than weeks
Operational Impact
Early operational metrics from the deployment demonstrate measurable results:
- 90%+ classification accuracy on first contact for NetworkAssist, reducing misrouted tickets and unnecessary engineer dispatches
- 35% reduction in average handle time for SupportAgent interactions compared to the ISP’s previous IVR-to-human workflow
- Field engineer satisfaction scores above 4.5/5 for FieldAssist guidance quality during on-site visits
“This is the deployment model we’ve been building toward. Three agents, three domains, one platform, one ISP — fully white-labelled and multi-tenant. It proves that an ISP can run its entire AI-assisted operations stack on GoZupees without stitching together point solutions. The multi-tenant architecture is what makes this scalable — ISP groups with multiple brands get operational AI across their entire portfolio from a single deployment.”
— Chirayu, Co-Founder, GoZupees
About GoZupees
GoZupees (Silicon Biztech Limited) is a London-based enterprise AI company building agentic AI solutions for telecom, ISP, financial services, and regulated industries. The company’s portfolio spans AI voice agents, network automation (NexOps), service assurance (Vigil), call intelligence, and Bedrock — the first AI-native operating system purpose-built for mid-market ISPs. GoZupees serves Tier-1 UK telcos and enterprise clients, delivering measurable operational cost reductions through AI agents that handle real customer interactions, not demos. For more information, visit gozupees.com.
Media Contact: GoZupees Communications press@gozupees.com
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