Insights
Introduction to AI Agents for Business Users
This guide introduces AI agents to business users - from what AI agents are, to how AI agents are used in multiple different business unit and industry contexts. Learn about key considerations and decisions needed before deployment and what the roadmap to AI agent deployment is for technical teams.
Five Workflow Patterns to Multiply Your Development Capacity with AI Coding Assistants
Multiply your software development capacity with AI coding assistants - here’s 5 workflows to get you started
Why your SDLC is slowing down AI delivery (and what to do about it)
Four changes that will adapt your SDLC to enable AI delivery, reduce bottlenecks and increase experimentation
Three build vs buy mistakes that derail AI roadmaps (and how to avoid them)
We often see enterprise businesses fail at executing their AI roadmap on time and on budget thanks to these three (unfortunately very common) mistakes. Read on to learn what they are, and how to avoid them in 2026.
Aligning Spec-Driven Development and Context Engineering For 2026
Are spec-driven development (SDD) and context engineering competing, or complementary - and how do we see that partnership working for 2026?
The SDLC in the Age of Agents: When Everything Happens at Once
How has the software development lifecycle changed in the age of AI agents? Read on to find out
How to Capture, Scale and Deploy Human Expertise with AI Agents
AI augments human skills - but in reality, we’re in an age of huge skills gaps and societal hiring difficulties. How do you use AI to optimise the time of your most valuable, skilled employees? Read on.
The Context Switching Tax: Here's How To Avoid The Tax Using AI
Enterprise businesses often have fragmented systems with disparate information, and rely on highly skilled engineers to be information repositories. No more - read on to learn about how Model Context Protocol enables context switching at scale.
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.
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.
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.
The Human Element in AI Governance
Successful AI depends not just on tech, but on humans - particularly responsible development, deployment and use.
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.
The Dawn of Autonomous Agents: Transforming Business Process Automation
Autonomous agents are redefining automation, from driving smarter workflows, to reducing manual effort, leading to new possibilities unlocked.