The Real Question

You've decided your business needs AI. Now comes the fork: do you hire developers to build it in-house, or work with an integration consultancy? Both paths can work. But for most SMEs, one is significantly better than the other.

Hiring AI Developers

The case for

• Full control over the technology and roadmap
• Deep integration with your specific systems and workflows
• Long-term capability building within your organisation
• No dependency on external providers

The reality

• Cost: A mid-level AI/ML engineer in the UK costs £55,000-£85,000/year salary, plus NI, pension, equipment, and management overhead. Minimum commitment: 12 months. Total first-year cost: £75,000-£120,000.
• Timeline: 2-4 months to hire (AI talent market is brutal). Then 3-6 months to build something useful. You're looking at 6-10 months before seeing any ROI.
• Risk: If they leave, you're back to square one. If they build the wrong thing, you've burned months of salary.
• Scope: One developer knows one or two specialities. You need ML, data engineering, API integration, frontend, and DevOps. That's a team, not a hire.

AI Integration Consultancy

The case for

• Immediate access to experienced AI implementation expertise
• Fixed cost, defined scope, clear timeline
• Results in weeks, not months
• No employment commitment or overhead

The reality

• Cost: Typical SME project: £2,000-£12,000 implementation + £200-£800/month. First-year total: £4,400-£21,600. That's 70-85% less than hiring.
• Timeline: 2-6 weeks to live implementation. ROI starts almost immediately.
• Risk: Defined scope means you know exactly what you're getting. If it doesn't work, you haven't committed £80,000.
• Scope: A good consultancy brings multi-disciplinary expertise from day one. They've done this before, in businesses like yours.

When to Hire

Hiring makes sense when:

• AI is your core product, not a tool you use
• You have 100+ employees and ongoing, complex AI needs
• You need proprietary models trained on sensitive data that can't leave your infrastructure
• You have the management capacity to supervise technical work you may not fully understand

When to Use a Consultancy

A consultancy is better when:

• AI is a tool to improve your business, not your business itself
• You have 5-100 employees and specific problems to solve
• You want results fast without the hiring risk
• You need multiple skills (data, ML, integration, frontend) that one hire can't cover
• Your budget is under £50,000/year for AI

The Honest Answer

For 90% of SMEs, a consultancy is the right choice. You get better results faster for a fraction of the cost, with none of the employment risk. If your AI needs grow beyond what a consultancy can handle, that's a great problem to have — and you'll be in a much better position to hire intelligently, because you'll actually understand what you need.

Start with integration. Build internal capability later if and when it makes sense. Read about when NOT to use AI at all.

Related: AI consultancy vs DIY | Measuring ROI on AI | AI security basics