Insights
Why a Multi-Model Strategy Is Now Mission Critical
When Anthropic withdrew Claude Fable 5 globally just three days after launch, following a US export control order, it proved that enterprise AI concentration risk is no longer just commercial but geopolitical. This article makes the case for a resilient multi-model strategy spread across providers and jurisdictions for enterprise AI.
From Three Weeks to Five Minutes: What Production AI Actually Looks Like in Private Equity
Discover three core AI use cases for private equity and venture capital firms and what it took to build them - automated competitor analysis, company research and LPA knowledge retrieval.
An Enterprise Playbook for Getting AI Agents to Production
How to move your AI Agents from POC to production: a step-by-step guide, no matter your department or industry.
How Agentic Analytics Is Replacing the Enterprise BI Stack
MIT research shows that 95% of organisations see zero return on their AI investment and AI is about to stress-test every weakness in your data foundation. Read on for how to build an AI-ready data foundation.
From Figma to Functioning Frontend in Four Weeks
Discover how the WeBuild-AI team moved from Figma to functioning frontend in four weeks, including the full scope of multi-functioning tools, user testing and key learnings.
AI Centres of Excellence: The Engine Room of Enterprise AI Adoption
The question isn’t whether you need an AI Centre of Excellence. The question is how to build one that enables rather than obstructs, that governs without strangling innovation, whilst creating genuine enterprise value.
Building the Foundations for a Successful AI Operating Model
How to build an AI operating model that actually delivers: focus investment on two or three high-value workflows, centralise orchestration, establish governance before scaling, design for human-AI collaboration, and plan the talent bridge between internal teams and external partners.
Three AI Workflows Every PE Due Diligence Team Should See
Discover which three AI workflows can have the most transformational value for PE due diligence teams, based on our industry experience with real customers and in-house AI expertise.
How Executives Can Build AI Initiatives That Succeed
Executives need to overcome multiple obstacles, from managing expectations, to training, to identifying use cases across the business, in order to successfully implement AI. Here’s how to build AI initiatives that succeed.
WeBuild-AI is Officially a “Great Place To Work”
Today we’re announcing that we’re officially a Great Place To Work 2026/27. As a scale-up AI consulting business, this is a huge milestone and demonstrates our commitment to culture and talent as we grow. Thanks to the entire team for contributing. Interested in joining? Check out our Careers page!
Life at WeBuild-AI: Meet Kaitlin Brabec, who shares her non-traditional journey into tech via marketing analytics and Python
Senior Consultant Kaitlin shares her latest projects, newest challenges and what she’s working on at the moment - deep-diving into industries and building out entire systems from scratch.
The Open Model Moment: Why Every Enterprise Needs a Multi-Model Strategy
The open model shift is accelerating, and three moves in the last fortnight show exactly where this is heading. Stop paying someone else's margin to think for you and adopt a multi-model strategy.
The 10 Governance Domains Every Enterprise Must Address Before Deploying AI
Most enterprises are deploying AI faster than they can govern it and regulators are taking notice. This article introduces 10 governance domains that form a practical framework for enterprise AI deployment, covering data protection, sovereignty, regulatory compliance, security, content safety and more, backed by peer-reviewed data and with additional guidance aligned to the EU AI Act and UK regulatory landscape.
Data and AI Governance Across 10 Domains: A Technical Framework for UK and European Enterprises
Download WeBuild-AI's technical whitepaper covering the 10 governance domains every enterprise must address before deploying AI, aligned to the EU AI Act and UK regulatory landscape.
Build Foundational Enterprise AI Using Spec-Driven Development and Architecture Decision Records
From agile and waterfall methodologies to AI-native software development lifecycles - how to standardise spec-driven approaches to build AI-ready enterprises.
