Practical AI adoption insight, every week. Subscribe to aiblBRIEF
aibl
  • Practical AI Insights
    • The research
      • Benchmark your AI ROI (Beta)
      • State of UK AI Adoption 2026
      • What our research says
      • AI analysis
      • Leadership Series report
      • Newsletter archive
    • Learn and apply
      • AI explained
      • AI case studies
      • AI build stories
      • AI playbooks
      • AI workshop guides
      • Boardroom findings
      • AI leader interviews
  • aiblLIVE
    • 2026 session library
    • aiblLIVE 2027
  • Find AI enablement partners
    • AI Enablement Directory
      • Search the directory
      • Register your business
    • By Category
      • AI Strategy & Readiness
      • AI Implementation & Deployment
      • AI Training & Capability Building
      • AI Agents & Agentic Workflows
      • AI Governance & Risk
      • Generative AI Applications
      • Data & Analytics
      • Process & Document Automation
  • Partner with aibl
    • For enablement partners
    • For AI platforms and vendors
    • Insights for vendors
    • Market insights reports
  • About
    • About Us
    • AI For business leaders
Subscribe to aiblBRIEF
  • Practical AI Insights
    • The research
      • Benchmark your AI ROI (Beta)
      • State of UK AI Adoption 2026
      • What our research says
      • AI analysis
      • Leadership Series report
      • Newsletter archive
    • Learn and apply
      • AI explained
      • AI case studies
      • AI build stories
      • AI playbooks
      • AI workshop guides
      • Boardroom findings
      • AI leader interviews
  • aiblLIVE
    • 2026 session library
    • aiblLIVE 2027
  • Find AI enablement partners
    • AI Enablement Directory
      • Search the directory
      • Register your business
    • By Category
      • AI Strategy & Readiness
      • AI Implementation & Deployment
      • AI Training & Capability Building
      • AI Agents & Agentic Workflows
      • AI Governance & Risk
      • Generative AI Applications
      • Data & Analytics
      • Process & Document Automation
  • Partner with aibl
    • For enablement partners
    • For AI platforms and vendors
    • Insights for vendors
    • Market insights reports
  • About
    • About Us
    • AI For business leaders
  • Subscribe to aiblBRIEF

Visual AI at CityFibre: 100% quality checks on every fibre install

Downloads | AI case studies

CityFibre uses visual AI to quality check every fibre installation, up from a 20% sample. Installers photograph their work, and a model on the phone checks it, even with no signal. David Tomalin, Group Chief Technology Officer, told the story at aiblLIVE London 2026.

The first use case paid back in four months. The approach then carried CityFibre from 10,000 to a million homes connected a year, with no extra headcount. Here is how it worked.

CityFibre in numbers

  • 100% of work is now quality checked, up from a standard 20% sample.
  • 4 months was the return on investment for the first use case, data centre cabling.
  • 99.75% right first time, a target CityFibre has held for four years.
  • 55,000 network touches in 12 months during an upgrade, by a team of fewer than 10 people.

All figures as stated on stage by David Tomalin.

How does CityFibre use visual AI for quality checks?

Installers photograph each cable connection on an ordinary phone, and computer vision inspects the photo. Manual review could not cope with hundreds of photos at once, so sampling was the norm. With visual AI, CityFibre moved from checking 20% of work to 100%, and the first model needed about 1,000 training photographs.

Why does the AI run on the phone?

Because many sites have no signal. Most data centres have no mobile coverage, and one acted like a Faraday cage. Storing photos to send later only led to revisits. About five years ago, CityFibre built visual inference into standard phones, so checks run on site without Wi-Fi or internet access.

If we’ve installed it clean in the first place, it should break less often.

David Tomalin, Group Chief Technology Officer, CityFibre

How did CityFibre get installers to adopt it?

It made quality pay. Installers who miss the standard must revisit at their own cost, while proven work gets paid faster. Tomalin says that win-win began to shift construction industry culture. Early teams became advocates, which let CityFibre extend the approach into adjacent workflows and across its partners.

What did the visual AI data make possible?

A full network upgrade with a tiny team. CityFibre made 55,000 network touches in 12 months with fewer than 10 people, retesting every fibre, and now sells symmetrical 8 gig services. The photo records also show what is installed, so agents can add business and service insight on top.

Scaling the model is about cultural adoption. It’s about helping people find the right way to work with it.

David Tomalin, Group Chief Technology Officer, CityFibre

Key takeaways

  • Start with a measurable problem. The cost of sampling made the business case clear.
  • Inspect everything. Visual AI made 100% checks affordable.
  • Run models where the work is. On-device inference works with no signal.
  • Link quality to payment. Faster pay for proven work drove adoption.

About the speaker

CityFibre logo

David Tomalin is Group Chief Technology Officer at CityFibre, the alternative fibre network that has built over 5 million premises across the UK. He has spent most of his career in telecoms. He spoke on the AI Infrastructure track at aiblLIVE London on 20 October 2026.

What’s in the full case study

If quality checks are slowing down your field teams, this is the model to borrow. The full PDF goes deeper than this page, in the speaker’s own words.

  • The first use case, from 20% sampling to 100% checks and a four-month payback.
  • How edge inference works in data centres and sites with no signal.
  • The commercial model that got construction partners on side.
  • Five actions to take back to your own organisation.

For CTOs, COOs and operations leaders running field, construction or infrastructure work. Six pages, about an eight-minute read.

Check every job, not a sample

Visual AI at CityFibre: 100% quality checks on every fibre install
aibl
Subscribe to aiblBRIEF

Explore

  • For business leaders
  • For AI platforms and vendors
  • About
  • Contact

AI Insights

  • All articles
  • AI case studies
  • Interviews
  • UK AI adoption research

Events

  • aiblLIVE 2026 session library
  • aiblLIVE 2027

More

  • aiblCONNECT
  • AI Enablement Directory
  • aibl Information Pack for AI’s
  • The State of AI Adoption Key Findings
© 2026 AIBL MEDIA LIMITED (DBA: aibl | AI for business leaders), Company registration number: 16634894 - The organisers of aiblLIVE do not, under any circumstances make attendee data available to third parties for resale. Should you receive an email offering data purporting to be from aiblLIVE – or any other event organised by aibl media limited – please delete the message, block the sender, and do not respond or interact in any way.
  • Privacy Policy