AI and agentic AI engineering
Agents, retrieval-augmented generation and enterprise search, built and integrated into the systems you already run.
Explore solutionsEngineering intelligence. Delivered in the real world.
Arcnet Global overhauls the systems behind your business and turns emerging AI into production-ready software, intelligent platforms and measurable outcomes. Senior architects build alongside your team, not at a distance from it.
Where is your organisation stuck?
Choose the closest fit to see how we would approach it.
Trusted by leading organisations and platform partners
Most organisations don't need another AI pilot. They need their systems overhauled.
Ageing platforms, disconnected data and unclear governance are what stall AI. We assess your existing architecture, applications and data, then connect new AI and software capabilities into the technology you already run.
Solution architecture
Senior enterprise, business and technical architecture, including legacy modernisation and secure, scalable design.
Explore solutionsForward-deployed engineering
Engineers embedded with your teams, taking a problem from architecture to prototype to production to adoption.
Explore solutionsStart with a Discovery and Architecture Review.
For organisations that know something has to change but not yet where to begin. We look hard at your systems, data and ambitions, then give you a target architecture and a roadmap your leadership can act on.
What you receive
- A diagnosis of the real problem, not just the first specification
- An assessment of your current architecture, applications and data
- A target architecture with security, cost and scalability trade-offs made explicit
- A build-versus-buy view of the platforms in play
- A prioritised roadmap with a clear first step
Results, in plain terms.
Outcomes from named engagements with organisations across healthcare, banking, automotive and rights management.
From one trust to 40+ Primary Care Networks.
The PCN Canvas application we built for Surrey and Borders NHS Trust scaled across the region during the COVID-19 response.
Healthcare and NHSA board-approved AI roadmap.
A governed, funded path to deliver PRS for Music's 2027 AI strategy, backed by a structured build-versus-buy evaluation.
Financial and rights managementAn investigation that became a contract.
Our Dynamics 365 findings won RAC's confidence and converted into a new commissioned implementation.
Automotive and membershipAdoption scaled safely, enterprise-wide.
Governance model, decision rights and data loss prevention controls that let NatWest scale without slowing delivery teams.
Banking and financial servicesIn progress now.
Two organisations we are working with today, applying the same approach: diagnose the real problem, architect it properly, then build it with the people who will run it.
PRS for Music
Financial and rights management
We shaped the to-be enterprise architecture behind PRS for Music's 2027 AI strategy: end-to-end agentic AI and retrieval-augmented generation patterns, and a structured build-versus-buy evaluation of Microsoft Copilot, Copilot Studio and Azure AI Foundry.
Outcome so far: a governed, board-approved AI roadmap that gives PRS for Music a de-risked, funded path to deliver its 2027 AI strategy.
Royal Palm Holidays
Systems and AI adoption
An active partnership bringing Arcnet Global's engineering-led approach to Royal Palm Holidays: overhauling the systems the business runs on and putting AI to work where it will make a measurable difference.
Insights.
Practical thinking on moving AI from pilot to production.
Why AI pilots stall, and why it's rarely the model
The systems around the model decide whether AI reaches production.
Read the articleBuild, buy or blend: evaluating Copilot, Copilot Studio and Azure AI Foundry
The criteria we use to decide which layer to build on.
Read the articleGovernance that speeds delivery up
How clear decision rights and built-in controls remove waiting.
Read the articleFrom AI potential to production reality.
Tell us about the problem you're solving. We'll come back with how we'd architect and build it.