Insights
Backed by industry voice and independent research.
Where our positioning comes from, and the evidence base behind every claim we make about AI in UK rail.
The industry voice
AI creates opportunities to improve tasks and workflows in ways that are beneficial for people. Human centred tools can reduce manual and repetitive tasks, support or automate activities that add limited value, freeing people to apply their judgement and experience on those activities that matter most. Used appropriately, AI should make day-to-day work better, safer and less administratively burdensome.
GBRX AI Action Plan, April 2026
The Long-Term Journey
From status quo to AI-enabled rail business.
The AI Readiness Assessment measures where you are today. The P.A.C.E-D™ method shows where AI adoption can take your firm over the next two to three years, and how the moves sequence. Most rail businesses sit on the Status Quo line. The curve below is the compounding path out.
Find out where you sit on this curve.
P
Pilot
Validation
Build Trust
Build Trust
Pilot AI on a risk free project. Build proof before commitment. Understand the true cost of doing nothing. Trust is earned through evidence.
A
Automate
AI Readiness
Take Ownership
Take Ownership
Build the digital infrastructure. Create a semantic knowledge layer that links your systems, captures your standards, and makes your knowledge queryable.
C
Compound
Scalability
Controlled Growth
Controlled Growth
Scale impact across projects and teams. Every project makes the next one faster. Knowledge compounds. Growth no longer requires more headcount.
E
Evolve
Productisation
Start Transformation
Start Transformation
Stop selling time. Start selling outcomes. Differentiate what AI handles from what requires engineering judgement. Compete on a new dimension.
D
Digitalise
Moat
Become Mastery
Become Mastery
Turn operational advantages into digital systems competitors can't replicate. Your expertise combined with AI becomes a moat that widens with every project.
Backed by research
The evidence behind the P.A.C.E-D™ method.
Every claim we make is grounded in published research from the world’s leading institutions. Evidence, not opinion.
McKinsey
88% adopt AI. Only 6% get real value.
Two-thirds of organisations remain stuck in pilot. Only about 6% qualify as AI high performers achieving more than 5% EBIT impact.
Read the research →
BCG
AI leaders achieve 2x revenue growth
Leaders also deliver 3.6x total shareholder return and 1.6x EBIT margin versus laggards, and plan to invest 2x more, widening the gap further.
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McKinsey
Construction productivity has flatlined for 80 years
Manufacturing improved 90%. The total economy improved 50%. Construction? Just 10% in 22 years. The status quo is selling man-hours with no leverage.
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RICS
45% of AEC firms have zero AI use
From a global survey of 2,200+ construction professionals. Fewer than 1% have AI embedded across multiple processes. The window for early movers is still open.
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Deloitte
499,000 new workers needed in 2026 alone
The labour crisis is real. Unfilled positions could cost the industry £124 billion in lost output. AI removes the admin drag so the same team can deliver more engineering. The only way to scale at this labour deficit.
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Mercer / McKinsey
54% of leaders say they won’t be competitive by 2030
Without adopting AI at scale. The World Economic Forum reports AI and automation will transform 86% of businesses by 2030. The question is when, not if.
Read the research →