Insights
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.
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.
Five Fundamental Use Cases for Enterprise Generative AI
Discover five high-impact generative AI use cases that are transforming operations, customer experience, and decision-making in the enterprise.
The Five Agent Types of Knowledge Work
Uncover the five key AI agent types reshaping knowledge work, from data wranglers to decision-makers, and how they each accelerate productivity.
The Evolution of Enterprise Apps in the Generative AI Era
Learn about how enterprise applications are evolving with GenAI to become more intelligent, adaptive and embedded into daily decision-making in business.
Why Your Enterprise Needs a Unified Approach To Generative AI
Discover why a strategic, enterprise-wide AI strategy is essential to deliver real value, with tangible support, security and usability across the business.
RAG, Agents and Graph: Your AI Compliance Dream Team
The dream team of AI compliance - read on to discover how Retrieval Augmented Generation (RAG), AI agent frameworks and knowledge graph techniques combine to support regulatory compliant AI systems.
Automating Data Classification with AI Agents
How to use AI agents to automate your data classification tasks (metadata, labeling, schema inference) and significantly reduce manual effort.
The DNA of an AI Agent
A detailed look at AI agents and how they work, including components, reasoning, autonomy and how AI agents are shifting the paradigm for software design.
Setting an Acceptable Use Policy for Generative AI in Your Business
Why and how enterprises need to build and maintain an Acceptable Use policy, which should create guardrails, rules and oversight for how generative models are used internally.
AI Agents and the Three Lines of Defence: A Banking Inspired Approach
This blog provides an AI governance framework for highly-regulated industries, using the banking industry as inspiration.
5 Essential Best Practices for LLM Governance: A Framework for Success
Key practices for organising, monitoring and securing large language model systems in enterprise settings.