How much does AI actually cost for a business your size?
AI pricing and costs
A clear, honest breakdown of what AI investment looks like - from off-the-shelf tools to custom builds. No vague answers.
The landscape
AI costs range from low to significant - here's how to think about the difference
Quick answer
AI costs for small business in the UK range from around £10 to £100 per user per month for off-the-shelf tools, to a more significant one-time investment for custom-built solutions. Most UK SMEs find the return on investment is realised within weeks to months depending on the use case and implementation quality.
"How much does AI cost?" is a question with a wide range of honest answers. A monthly ChatGPT Plus subscription costs less than most business software subscriptions. A sophisticated custom AI agent that replaces a manual business process costs considerably more. The difference is scope, complexity, and how bespoke the solution is.
The most useful frame is return on investment, not absolute cost. An AI tool that saves 15 hours a week across your team is worth more than one that saves 3 - regardless of which one cost more to build.
Cost breakdown
The four cost categories to plan for
Off-the-shelf AI tools
£10 - £100 / user / monthExamples: ChatGPT Plus, Microsoft Copilot, Google Gemini for Workspace, Jasper, Notion AI
Best for: General productivity improvements, content generation, and research across the team
Cost scales with team size. Most subscriptions run month-to-month with no long-term commitment.
AI implementation and strategy
Varies by scopeExamples: Discovery workshops, use-case scoping, vendor selection, change management
Best for: Ensuring your tool investments deliver real ROI rather than gathering dust
One-time or project-based cost. The investment that determines whether everything else pays off.
Custom AI tools and agents
Varies significantlyExamples: Bespoke AI agents, custom workflow automation, proprietary data integrations
Best for: High-value, proprietary use cases that off-the-shelf tools can't cover
More significant upfront investment, but typically the highest per-unit return when scoped correctly.
Ongoing management and support
Varies by complexityExamples: Model maintenance, prompt engineering, performance monitoring, updates
Best for: Keeping custom-built tools performing at their best as your business evolves
Often minimal for well-built tools. Budget for it anyway - like any business system, AI tools need maintenance.
What to plan for
The costs people don't always plan for
Staff training time
Getting your team proficient with new AI tools takes time. Budget for it as a real cost, not an afterthought. The tools that deliver the best ROI are almost always the ones where the team is properly onboarded.
Integration development
Connecting AI to your existing systems - your CRM, your ERP, your data - often requires development work. This is where 'simple' tools become more complex. It's worth scoping this before committing.
Prompt engineering and refinement
Getting AI tools to work well for your specific use case requires iteration. This is usually a small time investment, but it's not zero - and skipping it is why many AI implementations underdeliver.
Review and governance
AI outputs need to be reviewed, especially early on. Budget for the human time this takes - it reduces as confidence in the tool builds, but it's a real cost in the first few months.
Common questions
Questions about AI costs
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