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Understanding the technology behind connected AI systems. Our technical reference for the Model Context Protocol—the open standard reshaping how businesses integrate AI with their tools.

Is ChatGPT Safe for Business Data? The Honest Answer for SMEs

The tool is rarely the problem — the tier and the habits are. Where the risk actually lives, and the five rules that make AI assistants safe for company data.

Is it safe to put business data into ChatGPT or Claude? What business tiers change about training and retention, what UK GDPR actually requires, the five rules that manage the risk, and why shadow AI use is the bigger exposure.

August 2026 6 min read

What Should an SME AI Policy Include? Seven Questions, One Page

The AI policy that works for a 10–200 person firm is a page long and answers seven questions. Here they are, with the wording that holds up.

How to write an AI policy for a small business: approved tools, the never-paste list, human review rules, decisions AI can't make, disclosure, incident reporting, and ownership — one page, seven sections.

August 2026 6 min read

How Much Does AI Automation Cost a Small Business? Real Numbers

The three tiers of AI spend — off-the-shelf tools, connected automation, and ongoing support — with actual price ranges and the arithmetic for deciding what's worth it.

AI automation costs for UK SMEs, with real numbers: £15–£60/user/month for assistants, £5,000–£25,000 for a connected build, and what support costs. What inflates the price and when to skip it.

August 2026 7 min read

What Is the Model Context Protocol? A Plain English Guide

The open standard that lets AI assistants like ChatGPT and Claude securely talk to your business software — explained without jargon.

Model Context Protocol (MCP) explained in plain English. Learn how this open standard lets AI assistants connect to your CRM, accounting tools, and databases securely.

November 2025 6 min read

MCP vs APIs vs Plugins: Which Integration Approach Should Your Business Use?

A clear comparison of the three ways to connect AI to your business tools — with guidance on when each one makes sense.

Compare Model Context Protocol, traditional APIs, and plugin ecosystems for AI integration. Learn which approach fits your business needs, budget, and technical resources.

December 2025 8 min read

How AI Assistants Connect to Your Tools: MCP Architecture Explained

A visual walkthrough of clients, servers, and the communication layer that makes AI integration work — from request to response.

Understand the technical architecture behind MCP: how AI clients communicate with MCP servers to securely access your business tools, databases, and APIs.

January 2026 10 min read

Where Should We Start With AI Automation? How to Pick the First Process

A practical guide for operational teams told to 'go do AI' — how to spot the right first process, score the candidates, and start where the risk is lowest.

How to choose your first AI automation project. Learn which processes make good candidates, what to avoid first, and a simple scoring exercise to shortlist where to begin.

February 2026 8 min read

What's the ROI of AI Automation — And How Do We Prove It?

Building the business case execs actually ask for — hard savings versus soft gains, a simple payback framework, and the ROI traps that sink credibility.

How to measure and prove the ROI of AI automation. Separate hard savings from soft gains, baseline before you build, model payback period, and avoid the common ROI traps.

March 2026 9 min read

Build, Buy, or Partner? Choosing How to Add AI to Your Operations

Off-the-shelf tools, in-house development, or a specialist partner — how to decide, the total cost and lock-in trade-offs, and a clear decision checklist.

Build vs buy vs partner for AI automation. Understand when off-the-shelf tools are enough, when you need custom integration, the hidden costs of ownership, and how to decide.

April 2026 9 min read

What Could Go Wrong? Governing AI Automation Without Killing It

The governance questions boards raise — data security, accuracy, human-in-the-loop, accountability — and the controls that let you move fast with your eyes open.

The real risks of AI automation — data exposure, hallucination, over-automation, accountability gaps — and the practical controls that govern them without slowing you down.

May 2026 9 min read
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