A suite of AI assistants, visual tools and closed-loop automations that sit on top of your existing OSS/BSS estate — monitoring, inventory, performance, ticketing, and turn it into something engineers can converse with, see, and safely automate. Applied Operations never replaces the estate; it federates it behind assistants and views.
AI Use Case · White paper
Applied Operations
The full write-up as a PDF: what the problem is, what we put against it, and every figure tagged with the evidence behind it.
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related
Solves
Outside-plant fibre design
From a polygon on a map to a costed build
Per-site digital twin
Every site, every layer, one screen
Core network digital twin
835,000 entities, 2.5 million relationships, one graph
Enterprise asset management
Half a million assets reconciled against the system of record
Closed-loop incident automation
Alarm storm in, one root-caused ticket out
Change-script pre-flight validation
Catch the bad script before it touches the network
supports vendor
enabled by
Agentic AI operations
Agents that run the run-book for you
Zero-touch automation
Hands off the keyboard
Self-healing networks
Detect, diagnose, resolve — automatically
NOC copilot
A co-pilot for the night shift
Field-support copilot
The expert in every technician's pocket
Conversational analytics
Talk to your network
Predictive fault detection
Fix it before it fails
proven at
built on
Model freedom
The model is a setting, not the architecture
Deploys where your data lives
Not a SaaS you connect to — a platform that deploys inside your estate
Your data is not training material
Containment by architecture, not by contract
Subscriber data stays out by design
Scoped at integration time, enforced at the gateway
Your knowledge stays yours
Platform IP is ours. Domain IP is yours. Contractually explicit.
MCP-native integration
Coexistence, not replacement
Evidence-gated onboarding
Clean data is not a prerequisite — honest data handling is the product
Scale and cost governance
The agent layer orchestrates; your data platform does the heavy lifting
Access control at the boundary
Enforced at the gateway, before any agent or database is reached
Knowledge that compounds
Organisational learning made structural, not incidental