Free your team from the X that drains them. Truly AI-enabled, finally.
Your seniors got into rail to solve problems and exercise engineering judgement, not to feel stuck in admin. Today they spend half their week on work AI can already do better. The work they joined for waits.
Form A/B/C/G. Cat 3 comments. Standards searching. Moving data from one template to another. Repetitive, error-prone, soul-crushing. The work AI can do better, done by your most expensive people. The work they were hired to do queues behind it.
Tenders are starting to ask AI questions the way they asked BIM questions a decade ago. Your last response had to bluff. The next one will lose. Your clients are starting to audit your AI readiness. The window closes fast.
Two people hold the whole firm together. They are the system rather than enabled by one. When they take leave, the programme stalls. When they burn out or leave, the operation collapses. Your risk register is your senior org chart. You know it.
Every Cat 3 comment, every rework cycle, every late deliverable. You see the P&L. You do not see the AI-native competitor’s P&L improving every quarter.
Rail runs in peaks and troughs. Today the only way to scale your core team’s capability is to hire. Every peak forces new hires. Every trough turns those hires into a risk you cannot carry. The hire-rehire cycle bleeds margin. The alternative is a system that enables your core team to cover more, without growing headcount.
And you are the leader who took them there.
18 months from now your team is doing engineering, not admin. Your firm runs on a system that compounds with every project.
Your seniors do the work that compounds. Junior engineers get mentored. The work that drains the firm is gone. The work that builds it gets done.
Every project leaves the firm sharper. Standards reusable. Lessons that stick. Tenders that cite evidence. Win rate moves. Margin recovers. The firm stops running uphill.
You become the leader who took your firm into the AI era. The one whose board sees the curve. Career-defining. Career-proofing. Your name shows up in the conversations that matter.
Your X is the error-prone, repetitive, and time-consuming friction in your workflow, often unique to your operational context and organisation type. Move the lens, hover any point to see how AutomateX resolves it. Click to pin.
We automate 19+ rail deliverables, including DRN, HAZID, NCR, ITP, take-offs and standards search. See how we'd automate yours →
The questions rail teams ask us most. If yours is not here, drop it through the chat or book a 30-minute consultation off the back of the AI Readiness Assessment.
Two paths depending on where you are. If you already know your friction points ("X"), take the AI Readiness Assessment and book a 30-minute consultation off the back of it. We’ll walk through your results together and map a clear first move.
If you’re earlier in your thinking, the AutomateX Bootcamp is the structured route in. It walks your team through finding your friction points ("X"), builds the business case, and ends with a live AI-native prototype on your own data.
AutomateX is a custom-build service business, not a SaaS product. We diagnose your friction points ("X"), then build the AI-enabled solution that fits your operational context, your data, and your assurance environment. Each engagement is bespoke. Our strength is at the intersection of rail domain expertise and AI implementation, applied to your specific friction.
For teams that want a packaged AI tool rather than a custom build, we’re developing Scribtive™ and PACE OS™ as adjacent product offerings. Those are on the waitlist. The core AutomateX engagement remains custom build.
About 1 week to Diagnose. Up to 2 weeks for Alpha build and validation against retrospective data. Around 4 weeks for Beta build and independent blind evaluation. Then 3 to 6 months from Deploy to a live, fully assured workflow.
Complexity moves these. A tightly-scoped Form A automation lands sooner. A multi-discipline Operate & Evolve programme takes longer.
Pricing depends on what you need. The structured entry point is the AutomateX Bootcamp, credited in full against your build if you take the work forward with us.
Not every team needs the Bootcamp. Many already know their friction points ("X") and want to go straight to the Build phase.
For build engagements, pricing is outcome-based, not input-based. Every build is different, sized against the friction we’re removing and the value of the solution. We quote case by case. Talk to us directly for a quote on your specific situation.
Your data stays in the UK. Uploaded documents are stored in a relational database and cloud object storage with our UK-based infrastructure provider. Document content is anonymised at ingest. Un-anonymised data is only ever visible from the user account that uploaded it.
AutomateX is ICO-registered and operates under ISO/IEC 42001-aligned controls.
ISO/IEC 42001 is the new international standard for AI management systems, the AI-governance equivalent of ISO 27001 for information security. For AutomateX it means three things in practice:
1. Documented framing. Every AI-enabled workflow we deploy has a framing artefact covering scope, hazards, success criteria, and acceptance thresholds, agreed by your sponsor before build starts.
2. Audit-traced output. The model version, the original wording, and any accept/override decision are all logged per artefact.
3. Drift evaluation. We re-run evaluations on a regular cadence to catch model drift before it surfaces in production.
Rail-grade assurance discipline applied to AI delivery.
Domain knowledge is where the value sits. AI tooling is increasingly commoditised. What’s defensible is the rail expertise that knows what good looks like, where the friction actually lives, and how the assurance process really works.
We don’t want to wait for AI generalists to figure out rail. We’re rail insiders building at the implementation layer ourselves, so solutions land in workflows that engineers actually use.
Every rail firm has friction points ("X"). Larger firms typically get most value from productivity and engineering-leverage gains, freeing senior judgement from admin. Smaller firms get most value from removing single-point-of-failure bottlenecks and reducing rework.
Firm size is not the constraint. The real question is whether you are ready to use AI responsibly and have the appetite for change. If you do, we can help.
