Insights
Joining the 5% Inner Circle: Moving Beyond the AI Failure Narrative
Discussing what organisations must do to join the small group that succeeds in AI adoption - only 5%, according to MIT research from 2025.
What Metrics Matter for AI Agent Reliability and Performance
What are the key metrics and measurement strategies that organisations should monitor to ensure their AI agents behave reliably, safely, and usefully?
Why Prefect is A Perfect Pick for AI Agent Monitoring
Exploring how Prefect (a workflow orchestration tool) fits naturally into AI agent monitoring and enables tracing, alerting and observability of agent operations.
Delivering Differentiated AI-Enabled Products: Practical Field Lessons for the Enterprise
From field experience, WeBuild-AI shares lessons on how enterprises can build AI‑enabled products that are truly differentiated and scalable.
WeBuild-AI Secures Multi-Million Pound Strategic Investment to Accelerate Enterprise AI Transformation
WeBuild‑AI will scale its mission of transforming enterprise AI adoption through product, AI agents and governance frameworks, thanks to new investment.
Will MCP Make RAG Obsolete?
We examine the relationship between Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG), asking if MCP’s capabilities will remove the role or shift the relevance of RAG in enterprise systems.
Practical Lessons from Deploying MCP in the Enterprise
Practical learnings from real enterprise deployments of MCP: architecture decisions, challenges, tradeoffs and guidelines for adoption at scale.
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.
How MCP Transform Enterprise Intelligence
How MCP enables AI systems to make insights more actionable, integrated and contextually aware, based on relevant enterprise data.
What is Model Context Protocol and Why Should You Care?
Model Context Protocol (MCP) lets AI systems securely interface with enterprise data, breaking silos and embedding context into AI outputs. Read on to find out more.
The Enterprise AI Governance Playbook
The Enterprise AI Governance Playbook: Building Sustainable Oversight in a Rapidly Evolving Landscape
Understanding The Generative AI Pathways For Your Business
Transform Your Business with Generative AI: A Comprehensive Guide to RAG, Fine-Tuning, and Training from Scratch
Our Principles for Building Enterprise Grade Generative AI
The foundational principles WeBuild‑AI used for building our Pathway platform, from AI‑native design to guardrails, ethics and automation as code.
Establishing Gen-AI Muscle Memory in The Enterprise
Learn how enterprises can build GenAI capabilities into daily workflows through continuous practice, experimentation and organisational learning.
The Technical Blueprint for Enterprise Scale Generative AI
Explore the architecture, tools and processes needed to scale generative AI across enterprise environments efficiently and securely.
