A number of years in the past, I sat in a room with senior leaders from one of many UK’s largest utilities. We had been reviewing a security incident — fortunately not deadly — however critical sufficient to immediate a proper investigation. A hazard had been missed. A web site crew had carried on, unaware. A supervisor hadn’t had sufficient info to intervene.
“We’ve bought programs in all places,” one govt stated to me, “however I nonetheless really feel like I’m managing at nighttime.”
That second has stayed with me, as a result of I’ve heard variations of it many times.
After I based FYLD, it wasn’t to construct one other piece of fieldwork software program. It was to repair a deeper drawback I’d seen throughout infrastructure, utilities, and building for years: the folks doing the toughest highest-risk work had been working with out real-time help – and people making an attempt to steer them had been doing so with restricted visibility and delayed information.
The extra time I spend in these conversations, the clearer it turns into: so most of the dangers we’re speaking about at this time in building may be solved. However it takes a shift in mindset; one which prioritises visibility, accountability, and agility, not digitisation for its personal sake.
It means utilizing know-how like AI, not as a development, however as a sensible method to empower groups, forestall issues, and make sooner, higher selections.
After 20 years working throughout infrastructure, operations, and information, listed below are six of the commonest dangers I see daily that could possibly be prevented with higher visibility — and what we’ve discovered about fixing them at FYLD.
1. Managers are working websites from the rearview mirror
Development work is fast-moving and unpredictable. However selections are sometimes made primarily based on what occurred yesterday. Or, worse, what somebody remembers over the telephone.
That’s the place AI and the appropriate know-how can basically change how selections are made. For our clients utilizing FYLD, as an alternative of ready on delayed updates or counting on reminiscence, managers can see the precise situations on web site because the job begins.
A brief video captured by the crew could possibly be analysed immediately, flagging lacking security controls or uncommon dangers, and giving supervisors the data they should step in, information, or approve in actual time.
2. Communication hasn’t stored up with the way in which work occurs now
Hybrid and distant work are actually a part of the material of building, however most groups are nonetheless making an attempt to handle with disconnected instruments. Crews use telephone calls, WhatsApp, spreadsheets, emails. It really works… till it doesn’t.
AI and trendy platforms can shut these gaps by embedding communication into the work itself. As an alternative of chasing down updates, groups collaborate on a single timeline the place images, messages, permits, and blockers all stay. AI can flag when one thing’s off and automate alerts. The suitable particular person will get notified on the proper second—with the context to behave. That’s the way you cut back noise, align sooner, and hold work shifting.
3. Security continues to be too reactive
Too typically, security is handled as a compliance activity quite than a core driver of operational efficiency. Threat assessments are stuffed out to fulfill legislative necessities, to not drive smarter behaviour. And extra importantly, the info that does get collected isn’t used to tell selections in actual time.
That is the place video and AI can shift security from a box-ticking train to a stay threat administration device. When a web site stroll is captured on video, AI can assess whether or not key hazards are being thought-about, whether or not management measures are seen, and whether or not the job ought to transfer ahead. It could actually immediate extra actions or approvals.
4. We discuss labour shortages, however not untapped potential
There’s no query the sector is going through strain on workforce capability. However what we’re seeing on the bottom is that it’s not nearly hiring and recruitment, it’s about making higher use of the folks you have already got.
With the appropriate instruments, each job turns into a coaching alternative. AI can floor classes from earlier work, spotlight recurring dangers, and match newer workers with just-in-time teaching.
Workflows can embed experience into the circulate of supply, with out counting on somebody being bodily current. This not solely improves high quality and consistency, but it surely additionally means that you can scale with out rising headcount.
5. Provide chain companions are being managed with guesswork
For challenge homeowners and lead contractors, one of many hardest issues is knowing what’s really taking place on web site – particularly when the work is being delivered by subcontractors utilizing completely different instruments, reporting types, and ranges of digital maturity.
Trendy subject execution instruments can standardise how work is documented, tracked, and assessed, whatever the proprietor. AI scans for patterns throughout jobs and contractors, recognizing high quality points early and flagging threat developments earlier than they unfold.
6. Most tasks are nonetheless too sluggish to reply when issues change
Disruption is inevitable in building, whether or not it’s climate delays, late supplies, workforce constraints, or shifting laws. Most don’t have the visibility or flexibility to adapt rapidly. By the point leaders realise one thing’s gone off monitor, the injury is finished.
Actual-time intelligence adjustments that. Through the use of AI to course of job information because it’s generated – images, movies, web site notes, allow exercise – you may spot blockers instantly and reply in hours, not days. This sort of responsiveness isn’t only a nice-to-have. It’s the way you enhance margins, defend timelines, and hold belief with stakeholders.
The place we go from right here
AI is a good distance from changing expert folks on this trade. However it may give them sharper instruments, clearer context, and sooner suggestions. It could actually flip supervision into collaboration. Compliance into foresight. And it may well assist leaders lead with readability, not assumption.
If we need to unlock safer, sooner, extra scalable subject operations, we have to cease working in hindsight and begin connecting in actual time. I constructed FYLD to assist the development and infrastructure industries lead from the entrance, not the rearview mirror.
FYLD is the AI-powered fieldwork intelligence platform serving to infrastructure and building groups work safer and smarter. FYLD was named to the UK Startups 100 in 2025 for its impression on operational efficiency, real-time decision-making, and frontline productiveness.
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