AI Consultancy vs In-House AI Team: What's Right for Your Business?
The biggest AI decision most companies face isn't which model to use — it's whether to build internally or bring in external expertise. Here's the honest breakdown.
The Cost Comparison
| AI Consultancy | In-House AI Team | |
|---|---|---|
| Upfront cost | €25K–€75K per project | €150K+ per engineer/year (salary alone) |
| Team of 3-5 | €25K–€75K (same project) | €300K–€800K/year + 30% overhead |
| Time to start | 2–8 weeks | 3–12 months (recruiting + onboarding) |
| Time to deploy | 3–6 months per project | 6–18 months |
| Expertise breadth | Multi-domain, latest tools, specialist network | Deep in company-specific needs, limited to hires' skills |
| IP ownership | Typically shared or transferred | Full ownership |
| Risk | Vendor lock-in, cost overruns (20-50%) | Bad hires, turnover, knowledge loss |
| Scalability | Scale up/down per project | Slow to scale, fixed costs |
Choose a Consultancy When
- → You need results in under 6 months
- → You have a specific project with clear scope
- → Your team lacks AI expertise
- → You want to validate before committing
- → Budget is under €100K
Build In-House When
- → AI is core to your product
- → You need continuous development (18+ months)
- → Full IP control is critical
- → You can budget €300K+/year
- → You can attract and retain top talent
The Smart Move: The Hybrid Approach
The best-performing companies in 2026 aren't choosing one or the other. They're using a phased approach:
- 1. Start with a consultancy to identify highest-impact AI opportunities and build initial systems (3-6 months)
- 2. Transfer knowledge — have the consultancy train your team on the deployed systems
- 3. Hire strategically — bring in internal talent who can maintain and extend what's already working
- 4. Keep the consultancy on retainer for specialised projects and emerging tech
Frequently Asked Questions
How much does an AI consultancy cost vs building an in-house AI team?
An AI consultancy typically costs €25K–€75K per project (3-6 months), while building an in-house AI team costs €150K+ per year per engineer in salary alone, plus 30% overhead for benefits, tools, and infrastructure. For a team of 3-5 engineers, expect €300K-€800K annually.
How long does it take to deploy AI with a consultancy vs in-house?
An AI consultancy can start work within 2-8 weeks and deploy production systems in 3-6 months. Building an in-house team takes 3-12 months just to hire and onboard, with deployment typically taking 6-18 months.
When should I hire an AI consultancy instead of building in-house?
Hire a consultancy when you need fast results (under 6 months), have a specific project with clear scope, lack internal AI expertise, or want to validate AI opportunities before committing to full-time hires.
When should I build an in-house AI team?
Build in-house when AI is core to your product, you need continuous AI development beyond 18 months, you want full IP control, or you have the budget for €300K+/year in salaries plus infrastructure.
Can I use both an AI consultancy and in-house team?
Yes — the hybrid model is often optimal. Start with a consultancy to validate opportunities and build initial systems, then gradually build internal capability. The consultancy can train your in-house team for long-term ownership.