Blog

Practical guides to production AI.

Technical explainers, adoption strategies, security guidance, and honest pricing breakdowns for teams deploying AI across their business.

MCP

8 min read

What is MCP and why does it matter for your business?

Model Context Protocol is the standard for connecting AI to business systems. An open standard adopted across the industry and governed by the Linux Foundation. Here is what it actually does, when you need custom MCP servers, and when native connectors are enough.

Read article →14 January 2026

Enterprise AI

10 min read

Why your AI investment is not delivering: the adoption gap

You are paying for an enterprise AI platform. Your team uses it for email drafts and brainstorming. The problem is not the AI. It is the gap between a pilot and a production system you own and govern: no use case mapping, no team training, no system connections, no governance.

Read article →28 January 2026

RAG

11 min read

RAG explained: how to make AI actually know your business

AI models do not know about your clients, your contracts, or your internal policies. A governed knowledge base and RAG fix this by letting AI search your actual documents before answering. Here is how it works, when built-in retrieval is enough, and when you need something more.

Read article →11 February 2026

MCP

9 min read

Connecting AI to your business systems: a practical guide

Modern AI platforms already connect to dozens of tools out of the box. But your internal database, your bespoke quoting tool, your legacy ERP? Those need custom MCP servers. Here is what both look like in practice.

Read article →25 February 2026

Security

10 min read

AI integration security: what your CISO needs to know

Enterprise AI platforms provide built-in SSO, RBAC, audit logging, and spend controls. Custom MCP integrations add new data access patterns that need careful security design. Here is what your security team needs to evaluate.

Read article →4 March 2026

Pricing

9 min read

The real cost of production AI (and why the Big Four overcharge)

The Big Four charge £1,500 to £3,800 per day for AI work. Most mid-market businesses do not need that. Here is what a production AI deployment actually costs, what drives the price, and what a realistic engagement looks like.

Read article →18 March 2026

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