Insights
Agentic Commerce Comes of Age: What It Is and Why it Matters
For the better part of three decades, the governing metaphor of digital commerce has been the shopfront. A business builds a website, draws visitors to it through search and advertising, and does what it can to convert their attention into a purchase once they arrive.
AI Agents and Use Cases in Energy Whitepaper
Download WeBuild-AI's whitepaper on AI agents in the energy and electricity sector - types of AI agents, where they are applicable across the grid, how they work, what’s available now and what’s coming soon.
From Three Weeks to Five Minutes: What Production AI Actually Looks Like in Private Equity
Discover three core AI use cases for private equity and venture capital firms and what it took to build them - automated competitor analysis, company research and LPA knowledge retrieval.
An Enterprise Playbook for Getting AI Agents to Production
How to move your AI Agents from POC to production: a step-by-step guide, no matter your department or industry.
How Agentic Analytics Is Replacing the Enterprise BI Stack
MIT research shows that 95% of organisations see zero return on their AI investment and AI is about to stress-test every weakness in your data foundation. Read on for how to build an AI-ready data foundation.
AI Quick Wins Across the PE Deal Lifecycle
How forward-thinking PE firms are deploying production-ready AI in 4-8 weeks to gain competitive advantage without the 18-month implementation timelines of traditional consultancies
5 High-Impact AI Use Cases for Private Equity
This blog explores the 5 highest impact AI use cases for private equity across the deal management lifecycle. Read on for a breakdown of each use case and why it’s high impact.
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.
