
Insights

The Critical Role of Data Governance in Responsible AI Implementation
Strong data governance is foundational for trustworthy AI, ensuring data quality, privacy and compliance within AI systems. Read on to learn more.

The Paris AI Action Summit Day 2: When Politics Met Technology
Our day 2 of the Paris AI Summit tackled the intersection of policy, ethics, and innovation and highlighted the collaboration between leaders and tech.

The Paris AI Action Summit: Day 1 Summary
Our day 1 recap of the Paris AI Action Summit shares global insights on responsible AI, innovation policy and enterprise transformation.

Transforming Financial Remediation: Building Technology Capabilities for the Age of AI
How financial institutions can use AI agents, automation and strong data pipelines to modernise financial remediation programmes.

Industry Spotlight: Motor Finance & Discretionary Commission Agreements - Leveraging Data & AI for a Bold Remediation Response
Learn from industry experts on how AI and data can power an efficient, fair and transparent remediation strategy in the motor finance sector through regulatory shifts, such as the recent Discretionary Commission Arrangements (DCA) from the Financial Conduct Authority (FCA).

The UK Pension Revolution: From Industrial Pioneer to AI Innovation
Explore how the UK’s pension sector is embracing AI to modernise operations, improve service and meet evolving regulatory demands.

From Concept to Reality: Accelerating Product Design with AI
Demonstrating how AI transforms product design workflows, bringing speed, creativity and context to the design process and rethinking how products are built.

(Hello World): WeBuild-AI Launch Announcement
Learn about the WeBuild-AI mission to help enterprises build faster and more effective teams and processes with generative AI.

The AI Native Enterprise: Principles for Success in the Age of Artificial Intelligence
WeBuild-AI defines itself as AI-native. Find out what it means for an organisation to be “AI native”, including embedding AI mindset, infrastructure and practices throughout the business, from the ground up.

Measuring Speed and Efficiency in LLMs
Explore key metrics and benchmarks to evaluate large language model performance, from latency to cost and enterprise-wide impact.

Embracing Model Diversity: Why Organisations Should Adopt Multiple Large Language Models
Learn why using multiple LLMs can enhance resilience, performance and innovation across enterprise AI applications.

Building a Robust Business Case for AI & Data Initiatives: Calibration and Risk Management
Unlock the potential of AI with our comprehensive guide to building robust AI business cases. Learn essential strategies for AI value measurement, risk management, and ROI calculation. Discover how to align your AI strategy with business goals, estimate costs and benefits accurately, and avoid common pitfalls in AI project planning. Perfect for executives and decision-makers, this blog offers practical frameworks for creating compelling AI business cases, emphasising realistic projections and effective risk mitigation. From productivity gains to data monetisation, master the art of quantifying AI's business impact. Elevate your AI strategy and secure stakeholder buy-in with our expert insights. Don't miss this essential read for anyone looking to justify and maximise AI investments in today's competitive landscape.

Aligning AI & Data Initiatives with Business Value: A Framework for Success
Unlock the full potential of AI and data in your business with our comprehensive framework for success. Learn how to align AI initiatives with tangible business value, from identifying high-impact areas to developing cross-cutting capabilities. Discover strategies for categorising use cases, mapping AI to KPIs, and creating a value-driven roadmap. Perfect for CIOs, CTOs, and business leaders seeking to maximise ROI on AI investments. Gain insights on quantifying AI value, prioritising initiatives, and gaining stakeholder buy-in. Transform your organisation with AI - read our expert guide now.

Crafting a Comprehensive AI & Data Strategy: Essential Components for Success
Unlock the power of AI and data with a comprehensive strategy. Learn the 7 essential components for crafting an effective AI and data strategy that drives business success. From defining your 'why' to implementing continuous improvement, this guide provides actionable insights for leveraging AI to achieve your business goals. Discover how to align your AI initiatives with strategic objectives, build robust data infrastructure, and navigate ethical considerations. Whether you're a CIO, CTO, or business leader, this blog post will help you chart a course for AI-driven transformation in your organisation.

The AI Paradox: Balancing Hype, Revenue, and Real-World Implementation
Explore the AI paradox: balancing hype, revenue, and real-world implementation. Discover why tech giants struggle with AI ROI and learn about key challenges hindering AI adoption. Uncover strategies for successful AI integration, including process redesign and data strategy. Gain insights on bridging the gap between AI's potential and profitable implementation in this comprehensive analysis of the AI revolution.