Build the capability to deploy AI safely at scale
Lay the foundations for trusted AI by modernising legacy systems, governing data effectively and creating the control, confidence and capability needed to innovate at scale.
Firms operating in complex, regulated markets are well aware of agentic AI’s potential to help them radically improve productivity and decision-making. What holds them back are concerns around regulatory exposure, operational risk, missed opportunity, and loss of control.
However, those risks are not intrinsic to AI; they are intrinsic to any system built on weak foundations. Put another way, AI governance is built on data governance, and data governance is built on solid technology foundations. To become a business capable of deploying AI safely, you must first remove long-standing legacy obstacles – and AI itself can provide the way forward.
Modernise core legacy systems that have always been deemed too critical to replace – by transforming your engineering approach with agentic AI.
Define pragmatic data architectures, standards and reference patterns that make data usable, accessible and scalable.
Shape the strategy and governance needed to make data genuinely useful across your business and ensure it is secure, auditable, and compliant.
Use AI to democratise access to information, accelerate decision-making, and create new operational capabilities.
People often talk of AI as an accelerator, but that undersells its transformative potential. AI changes the economics of modernisation by reducing the cost of implementation, experimentation and complexity.
It makes solutions viable that were previously too expensive, risky or time-consuming to pursue.
But it can only do this when guided by highly experienced, expert engineers. Scott Logic has spent over 20 years helping highly regulated firms solve complex business problems through technology. We now use that experience to help clients modernise faster, transforming their delivery lifecycle and making long-stalled modernisation programmes achievable.
Scopevisio’s modernisation effort had stalled, with the scale and risk of migration proving difficult to sustain. By reshaping the software delivery lifecycle around AI and introducing new approaches to testing, requirements and delivery, we helped the team create a reliable, repeatable way forward for migration.
Yuki needed to modernise a complex bookkeeping platform, but the scale of the system and the difficulty of testing its behaviour made migration highly challenging. By simplifying how the application could be transitioned and introducing repeatable AI‑enabled workflows, we helped establish a practical, scalable route to modernisation.
"Scott Logic didn’t just help us make a complex migration viable. They worked closely with our team to develop the skills, practices and confidence to continue independently. They left us with a trained team, a proven approach and a clear path to scaling it across the business."
Ricardo van Marion, Software Development Manager, Visma Yuki
Everyone is talking about agentic AI. That’s not surprising. The promise is huge. But the organisations that succeed with agentic AI will not be the ones that simply add tools and hope for transformation. They will be the ones that build the right foundations first.
Migrating a legacy codebase of any reasonable complexity has always been challenging, but AI tools have fundamentally changed the economics of the process. Generating code is now cheap and fast, but we still need confidence that the generated code is as good as, or better than, code we'd write ourselves.
A summary of the talks and discussions from our recent event, 'Adopting Agentic - Software Engineering for the AI Age', exploring the human and organisational impact of AI on our industry. Includes session videos, key quotes and my personal reflections on each presentation.
Get in touch to explore how we can help you build the capability to deploy AI safely at scale.
