Building an internal AI team makes sense at scale. For SMBs in the $5M-$50M range, it means 6-12 months before first output, €90K-€150K+ per person annually, and limited breadth of expertise. Nexum delivers immediate, broader coverage at a fraction of the cost.
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Why Nexum
Immediate expertise, zero ramp-up
Nexum's specialists are operational from day one. An in-house hire needs weeks to learn your business, months to become genuinely productive, and may never cover the full breadth of AI tools a modern SMB needs. There is no ramp-up curve with Nexum.
No hiring overhead or risk
Recruiting an AI engineer in Europe is a 3-6 month process, expensive to get wrong, and costly to unwind. Nexum eliminates hiring cost, mis-hire risk, employer taxes, equipment, and the ongoing management overhead of a technical employee.
Broader coverage than any single hire
A single in-house AI hire has deep expertise in 1-2 areas. Nexum brings a team covering workflow automation, LLM integration, customer service AI, voice agents, and self-hosted AI: breadth that would require 3-4 specialized hires to replicate.
| Feature | Nexum | In-house Hire |
|---|---|---|
| Time to first working output | Weeks | 6-12 months (hiring + ramp-up) |
| Annual cost (Western Europe) | Fraction of in-house team | €90K-€150K+ per person, all-in |
| Breadth of AI expertise | Full stack (workflows, LLMs, voice, self-hosted) | 1-2 specializations per hire |
| Number of specialists included | Full team (5+ specializations) | 1-2 per hire |
| Equivalent cost for full coverage | Fraction of in-house team | €360K-€600K+ (3-4 hires) |
| Hiring risk | None | High (slow and expensive to fix) |
| Risk of mis-hire | None | €150K-€250K total mis-hire cost |
| GDPR / EU AI Act compliance | Built into every engagement | Requires separate legal resource |
| Scalability | Scales with business needs | Fixed cost regardless of volume |
| Handoff to internal team possible | Yes, structured handoff included | N/A - already internal |
| Institutional knowledge over time | Moderate | Builds over years |
The bottom line
For SMBs in the $5M-$50M range, hiring in-house means 6-12 months before first output and €90K-€150K+ per person annually. Nexum delivers a full AI team in weeks. Build in-house only when AI is a core product function at $100M+ revenue scale.
See how Nexum approaches implementation in our Done-For-You service, or explore our case studies for real results.
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Where In-house Hire wins
Nexum is best for
Best for SMBs ($5M-$50M) where AI is a capability enabler, not a core product function, and where speed, cost-efficiency, and breadth of expertise matter more than building an internal function.
In-house Hire is best for
Best for companies at scale ($100M+) where AI is central to their product or operations, with continuous full-time development needs that justify the overhead and long recruiting timeline.
Bottom line
For most SMBs in the $5M-$50M range, building an in-house AI team is the wrong allocation of capital and time. The hiring process is slow (3-6 months minimum), the cost is high relative to revenue, and one or two engineers cannot cover the breadth of modern AI capabilities a business actually needs. Nexum gives those businesses access to a full team of specialists starting immediately, at a fraction of the annual cost. The calculus changes as a company scales: at $100M+ revenue with continuous AI development needs, building internally starts to make sense. For Nexum's target market, 'hire someone' is a 12-month, high-risk path to the same place Nexum reaches in 90 days. The calculus only changes when AI stops being a capability and starts being the product itself.
A mis-hire at the AI engineer level is one of the most expensive mistakes an SMB can make. The direct costs are visible: 3-6 months of salary during ramp-up, recruitment fees of €15,000-€30,000, severance, and re-recruitment costs. The indirect costs are larger: 6-12 months of delayed AI implementation, team disruption, and the opportunity cost of a competitor who moved faster.
The total cost of a bad AI hire at the €100,000/year level is typically €150,000-€250,000 when all factors are included. That is before accounting for the systems they built that now need to be rebuilt.
Outsourcing to Nexum eliminates this risk entirely. If an engagement is not delivering, the contract structure allows for adjustment without legal overhead, severance, or the reputational cost of a visible mis-hire.
Hiring is a 12-month bet. Nexum is a 90-day proof of concept.
A single AI engineer has deep expertise in 1-2 areas. They are excellent at what they know and blind to what they do not. A business that hires a strong LLM engineer gets LLM solutions for every problem, whether that is the right tool or not.
Modern AI automation for SMBs requires breadth: workflow automation, LLM integration, customer service AI, voice agents, self-hosted AI for data sovereignty, and compliance with GDPR and the EU AI Act. Covering that breadth internally requires 3-4 specialized hires at €90,000-€150,000 each: a €360,000-€600,000 annual commitment before a single automation goes live.
Nexum brings that full team to every engagement. Not a generalist who covers everything at surface level: a team of specialists, each deep in their domain, coordinated around your specific business needs.
You are not hiring one person. You are accessing a team.
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