Insights
Introduction to AI Agents for Technical Users
This guide provides technical teams with practical implementation knowledge for building AI agents in enterprise environments - from agent architectures and workflow orchestration, to multi-agent communication patterns and production deployment strategies. Learn about framework selection, data architecture decisions, lifecycle management best practices and the engineering considerations that determine success in production systems.
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.
10 Ways to Build Future-Proofed AI Workflows
Several Azure OpenAI model versions will soon be retired - here’s 10 ways to build future-proofed LLM workflows to prevent migration risks when models are deprecated.
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.
Why Your Organisation Needs Agent Lifecycle Management
Explore why organisations should adopt full lifecycle management for AI agents for monitoring, governing, versioning and maintaining in business systems.
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.
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.
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.
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.
Autonomous Agents: The Next Frontier in AI-Driven Business Transformation
See how autonomous agents are driving the evolution of AI in business, bringing intelligence, adaptability and speed to every single business process.