how we do it

Below, you’ll be able to see the content in action, based around a fictional company called Vernex Networks

Vernex Networks

The Network Intelligence Specialists

Vernex Networks is a network automation software company that helps mobile and fixed operators simplify operations through closed-loop automation and AI-assisted fault management.

Vernex Networks is a network automation software company that helps mobile and fixed operators simplify operations through closed-loop automation and AI-assisted fault management.

Vernex Automate

A single product suite with three modules — all designed to reduce human intervention in network operations.

EventIQ

AI-driven event correlation engine that ingests alarms from multiple OSS/NMS systems and identifies root causes automatically.

  • Reduces alarm noise by up to 85%.
  • Uses graph-based ML models trained on operator data.
  • Integrates with existing OSS vendors.

FlowOps

Workflow automation layer that executes corrective actions automatically once faults are detected.

  • Python-based rule templates for repetitive NOC tasks.
  • Closed-loop remediation (e.g., restart cell, re-route traffic).
  • Built-in approval gates for safety-critical functions.

Insights

Dashboards for engineers and executives, showing mean time to repair (MTTR), alarm frequency, and network health trends.

  • Cloud or on-prem deployment.
  • REST API for integration with ServiceNow or Jira.

Software licensing – Annual subscription per managed network element – 60%

Professional services – Integration, configuration, and training – 25%

Support and maintenance – Yearly contracts for ongoing support – 15%

Next product iteration will integrate LLMs for contextual alarm interpretation, allowing engineers to query “what happened last night in Region X?” in natural language. 

By 2028, Vernex aims to be the leading independent automation vendor for mid-tier telecom operators, bridging the gap between manual operations and full self-optimising networks.

Sarah Vance, 44, is a former Big Telecoms Operator UK Operations Director with over 20 years in telecoms and enterprise software. She began her career as a network engineer before moving into operational leadership roles, overseeing large-scale network modernisation and OSS transformation projects across Europe.

Raj Patel, 39, holds a PhD in Graph Neural Networks for Fault Prediction in Complex Systems from the University of Cambridge. Before co-founding Vernex, he worked as a senior data scientist at Big Telecoms Vendor, developing predictive maintenance models for transport networks.

Scenario One
Announcement

The team is preparing for the launch of its flagship Vernex Automate platform. The announcement will be kicked off with a press release distributed to trade press and media interviews for both Sarah and Raj.

To accompany the traditional outreach to media, the team would also like to utilize social media to have a direct conversation with their potential customers to increase overall awareness through multiple channels and to own greater control of the message

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News Article

Press releases are written for journalists not general audiences. To amplify the news over social channels, it must be written for the general audience

Read the News Article

Viewpoint

The Executive Viewpoint offers an opinion driven piece to be amplified through the Executive's social media channels, humanizing the brand

Read the Viewpoint

Analysis

Instead of focusing on the technical elements of the platform, industry analysis shows the business impact, aligning to the way people think

Read the Analysis

Scenario Two
Engagement

The Vernex team would like to create on-going engagement with end-users to complement the traditional PR. The team has noticed a lull in their analytics between announcements and low levels of brand retention.

The “Always On” conversation will primarily focus on hooking interest through engaging social posts, channeling the audience to the article on the blog, before moving the audience to more commercially orientated content.

A secondary objective is to feature Vertux more regularly on AI search and Chatbot platforms by creating content more aligned to the questions users ask.

Explainer

Audiences regularly ask questions to search platforms. Explainer content ensures Vertux.com content is attractive to the algorithms

Read the Explainer

Opinion

Opinion articles on current affairs ensure Vertux is present in conversations on social media, and of interest to Chatbots answering user questions

Read the Opinion

Analysis

Industry and trend analysis enables Vertux to have a reason to engage audiences without linking directly to corporate news or products

Read the Analysis