UK-based Softwire offers its financial institution clients expertise in leveraging data to achieve their operational objectives. Data Management Insight spoke to Sean Judge, Softwire Client Director FS&I to find out more about the company.
Data Management Insight: Hello Sean. Can you tell us when and how was Softwire created and how does it serve financial institutions?
Sean Judge: Softwire was founded over 25 years ago with the mission “to save the world from bad software”. Today, we are a team of 400-plus multi-skilled technologists delivering work from ideation through to operation and scale. Our focus has evolved to helping clients close the gap between the change they want to make and what they can confidently deliver, safely, at pace and within real-world constraints. In financial services, we work across insurance, trading and capital markets, wealth management and regulatory domains, helping firms shape technical strategy, modernise legacy platforms and deliver end-to-end solutions spanning engineering, data and AI, testing, delivery and technical leadership.
DMI: What are the most common pain points that Softwire solves for its clients?
SJ: We help clients turn a “great idea” into “business solution”. When internal teams are stretched, stuck, or too close to the problem, we bring an external perspective to clarify what really matters and shape a clear, practical way forward. Data is a major focus. We help organisations build data they can trust and actually use for better decision-making, automation, and AI-powered products. We also help clients access specialist skills quickly, from modern engineering practices and cloud platforms to data engineering and AI tooling, so teams can adopt new capabilities with confidence. In larger financial institutions, we support the safe, incremental modernisation of legacy systems, reducing risk while protecting critical services.
DMI: What are the newest challenges that Softwire is helping clients overcome?
SJ: Many financial institutions are currently working out how to make AI real, safe, and scalable. That includes adopting AI within engineering teams to improve delivery speed and quality, without losing control of governance, security, and risk. We’re also helping organisations design and operate AI-enabled automation in ways that are auditable and trustworthy, especially where regulated decisions and customer outcomes matter. Underneath that, the biggest enabler is still data: building reliable, scalable data platforms that support modern use cases like compliance, risk, underwriting, and fraud, and extracting value from existing systems so firms can personalise, optimise processes, and make better decisions.
DMI: What does technology transformation mean in the age of AI?
SJ: Technology transformation is less about “doing AI” and more about building the foundations that make it safe, reliable and scalable. AI can be a powerful accelerator, but only when it’s paired with strong engineering, trusted data, and clear governance. In financial services, progress must balance innovation with consumer trust, auditability, regulation, and risk control. That means treating AI adoption as an organisational change journey: investing early in data platforms and AI guardrails, and bringing technology, risk, compliance and the business together. This alignment drives the shift from internal automation, to AI-assisted customer experiences, to fully trusted AI-enabled products and advice.
DMI: What does Softwire see as the next big thing in technology transformation?
SJ: We’re seeing a big resurgence in “the art of the possible” with automation, because AI is changing the economics. Work that used to stay manual (uploads, handoffs, checks, repetitive processing) is now increasingly worth automating, helping organisations do more without growing overheads at the same rate.
At the same time, AI-enhanced software delivery is accelerating routes to market: teams can prototype, test and iterate far faster than before, often in weeks rather than months.
The real opportunity is bringing these two together: smarter automation plus faster product delivery, built on the right controls for regulated environments, augmenting how organisations deliver value.
DMI: What’s in the pipeline for Softwire in 2026?
SJ: In 2026, we’re deepening our focus on Financial Services and Insurance, with more domain expertise embedded directly into our delivery. That means helping clients combine strong engineering with real sector knowledge, so they can move faster, manage risk more effectively, and stay adaptable as priorities change.
We’re continuing to build momentum across London markets and specialty insurance, while expanding our work in wealth management. In parallel, we’re investing further in data and AI capabilities and partnerships, so clients can move from experimentation to production-ready AI that is underpinned by trusted data, responsible governance, and delivers outcomes they can measure.
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