Here are some of our latest published insights, articles and downloadable content
The Hidden Cost of COTS Software
COTS software often seems cheaper upfront but hides long-term costs in licensing, upgrades, and rigidity. Discover why bespoke solutions offer better control, scalability, and long-term ROI.
The True Cost of Poor Data Quality
Poor data quality silently drains revenue and trust. Learn how to fix issues at the source to improve decision-making, compliance, and AI readiness across your enterprise.
Early Complexity Management
Learn how early complexity management—addressing legacy systems, data gaps, and stakeholder misalignment—reduces risk, accelerates delivery, and drives lasting success in enterprise transformation programmes.
From Pilot to Production: Making AI Projects Deliver Real Business Value
Many AI pilots fail to scale. This article explains how to move from prototype to production by aligning business goals, building scalable data infrastructure, and measuring AI’s real business value.
Building a Strong Foundation for Transformation Success
A clear, well-structured information architecture is essential for maximizing digital transformation ROI, improving data findability, and ensuring systems, users, and knowledge align effectively across the enterprise.
AI in 2025: What Mid-Sized Enterprises Need to Know Now
Mid-sized enterprises can now adopt AI affordably and effectively
The 7 Common Pitfalls in Technology Transformation Projects
Avoid transformation pitfalls with early warning signs and pragmatic prevention strategies.
Insights from our consultants on technology, transformation, and sustainable change.
The most important factor is alignment with business value. AI must solve meaningful problems, not just demonstrate potential. When strategy, governance, and delivery are aligned, AI scales effectively and drives measurable ROI.
Scaling AI requires solid foundations — governance, compliance, and bias detection built in from day one. Successful organisations treat AI as a managed capability, not a side project.
Many enterprises focus on customer-facing AI, overlooking back-office opportunities such as process optimisation, risk forecasting, and intelligent automation — where value compounds fastest.
Failure often stems from unmanaged complexity. Addressing legacy constraints, integration challenges, and stakeholder alignment early prevents disruption later in the programme.
There’s no one-size-fits-all answer. We help clients determine when to refactor, replatform, or replace based on strategic fit, cost, and long-term value.
The best outcomes balance both. Quick wins build momentum, but stable governance ensures changes endure.
Custom software fits your business precisely, integrates seamlessly, and scales as you grow. It’s an investment in flexibility and control rather than compromise.
We design modular, secure, and scalable systems that evolve with your business — avoiding technical debt and costly rework.
Data underpins every strategic decision, AI model, and compliance process. Poor-quality data leads to costly errors, lost insight, and missed opportunities.
Start with ownership, classification, and consistency. Even simple data standards and stewardship roles create immediate value and trust in your information assets.