Insights
What We Learned Testing Five Sensitive Data Detection Tools
We tested sensitive data detection tools Amazon Macie, Microsoft Purview and three open source tools on 18,049 documents to see how much sensitive data automated data classification really finds. Read for our recommendations and what a layered approach costs to run.
Why the future of AI in banking depends on trust, not trials
Ben Saunders, Co-Founder of WeBuild-AI, contributes to The Fintech Times on why banks stall after proof of concept, and why scaling AI in banking is an operating-model and trust problem, not only a regulatory one.
The confidence gap holding back AI in financial services
Ben Saunders, Co-Founder of WeBuild-AI, writes for Finance Derivative on why financial institutions struggle to turn AI pilots into measurable outcomes, and why internal confidence, governance, and stakeholder alignment matter as much as compliance.
Banking doesn't need more AI pilots, it needs the confidence to scale them
Ben Saunders, Co-Founder of WeBuild-AI, writes for Financial IT on why banks run plenty of AI pilots but struggle to move them into production, and what governance, observability, and operating-model clarity require before scaling in regulated environments.
The CapEx Versus OpEx Reckoning for Enterprise AI
At an executive partner dinner a little while ago, the conversation drifted, as these conversations invariably now do, towards the question of what everyone is really spending on artificial intelligence. One of the firms around the table offered a figure that gave the rest of us pause.
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.
Why Context Graphs Will Define AI Success in Regulated Industries
Highly-regulated industries require data relationships, provenance and context, provided through context graphs that supplement RAG, vector databases and MCP.
How to build AI governance that enables delivery instead of blocking it
Build collaborative and flexible AI governance frameworks that enable rapid innovation, production and delivery, and ensure your AI plans are on-time, on-budget and compliant in 2026.
![Accelerate AI deployment while maintaining compliance through 2026 [Webinar]](https://images.squarespace-cdn.com/content/v1/67ffe031b1ec5e458d56ffe2/1764069307195-S4RKZ5B8G8VQ3NXNND1K/balancing-governance-with-innovation-in-ai-a-strategic-framework-for-scaling-ai-in-regulated-industries.jpg)
Accelerate AI deployment while maintaining compliance through 2026 [Webinar]
Enterprise manufacturing business DS Smith and AWS share their secrets to AI governance, innovation and compliance success, through AWS Bedrock foundation and AI Transformation Consulting from WeBuild-AI.
AI Compliance Maturity Self-Assessment
Evaluate your organisation's AI governance readiness across UK, EU, and US jurisdictions.
AI compliance: what enterprises need to know for 2026
Moving from AI theory into AI operations leaves many leaders behind from a regulation and compliance perspective. Here’s what you need to know for 2026.
Navigating AI Legislation: A C-Suite Guide to the Industry-Specific AI Compliance That Matters in 2026
Comprehensive overview of the “what” and the “how” for approaching industry-specific legislation in 2026.
Why most AI projects fail (and it’s not about the technology)
Innovation versus governance doesn’t have to be a trade-off, and can lead to greater advantages. Read on to learn how CTOs, CSOs and CIOs balance both.
Protecting Enterprise Data in the MCP Era
Covering the data governance, security and privacy challenges that arise when connecting AI agents to enterprise data via Model Context Protocol (MCP), as well as how to mitigate risks.
