AI-assisted digital transformation
We design and integrate scalable digital solutions – combining human expertise with a proprietary AI workflow to help your business move faster and further.
How we work - and why it works for our partners.
Our approach – refined over 15+ years working with businesses of all sizes – leverages the experience and expertise of our team across every stage of a project.
Over time we have developed an AI-assisted workflow that reduces friction, speeds up delivery cycles and ultimately delivers success for our clients.
Introducing our new AI-assisted workflow
Over the past year, we’ve been working to understand how AI can best support the way we work. Not as a bolt-on tool, and definitely not as a replacement for human judgement and expertise – but as a way to strengthen our capabilities and remove friction from delivery.
We’ve spent time ideating, developing and pressure-testing different approaches – paying close attention to security and privacy. And we’ve listened to you, our partners, on where we could add most value.
What became clear is that – for MethodWorx – the biggest gains won’t come from handing everything over to AI. They’ll come from using it smartly, at the right moments in the project cycle, to speed up development and testing, build knowledge bases and ultimately free up our team to focus on the work that matters most.
The Benefits of Our New Workflow
Rapid Prototyping
Working from client requirements, implementation engineers create early prototypes, supported by AI to automate repetitive tasks and surface intelligent suggestions. This allows ideas to be explored, tested and refined quickly in rapid feedback loops.
Shared Project Context
Project activity is captured through daily work diaries. AI helps organise and index this information, creating a searchable, up-to-date project knowledge base to support governance, transparency and continuity across teams.
Quality Assurance and Testing
MW’s QA teams use AI-assisted automation to increase test coverage and speed, maintaining human-led validation where judgement matters most. Engineers ensure technical integrity, and QA teams confirm that quality and requirements are met.
Production-Ready Engineering
Lead engineers lead integration, security and deployment, turning concepts into production-ready solutions. AI supports this process through code analysis, security checks, and continuous integration and delivery – complemented by team oversight and accountability throughout.
James Simpson
CEO of MethodWorx
The AI-assisted workflow we’re introducing reflects that thinking. Our work will remain human-led at every stage: the team stays accountable for decisions and outcomes, with AI helping us move faster and with greater clarity.
The only constant in technology is change. And as your digital partner, it’s our job to stay ahead of it – adopting the right technologies at the right time to drive business impact and maximise the value of the work we do together.
This is another step forward.
