Should you partner with an AI specialist or build it yourself?

Estimated reading time: 7 minutes

Table of contents

1. The search for AI expertise: a challenge for SMEs
2. The advantage of AI partners: expertise and speed
3. Self-building with ChatGPT Enterprise: balancing opportunities and challenges
4. Scalability and future-proofing: do it yourself or partner up?
5. Conclusion: how do you decide between partner and self-build?
6. Frequently asked questions
7. Sources

The search for AI expertise: a challenge for SMEs

Many SMEs hit a wall when it comes to integrating AI into their business processes. They often lack the in-house knowledge or skills to launch and execute AI projects effectively. That gap, combined with limited time, creates a major barrier to AI adoption in the SME segment. This is where an AI partner comes in: with their specialist knowledge you can step into the complex world of AI without making heavy upfront investments. It means a wide range of organisations, from retail to manufacturing, become reliant on external expertise to stay competitive. These partners can adapt specific AI models and techniques to your industry or the unique requirements of your business, bridging the gap between innovation and practical implementation.

AI is a fast-moving field: technologies and methodologies evolve constantly. Keeping pace is essential for SMEs that don't want to fall behind competitors. An AI partner that stays up to date with the latest developments can help, ensuring that the solutions you deploy don't become outdated. On top of that, a good partner analyses your culture and working environment to create AI solutions that lift productivity without causing major disruption. That makes AI not just accessible, but directly applicable and relevant to your business.

The advantage of AI partners: expertise and speed

AI partners don't just give you direct access to expertise without hiring extra staff, they can also move fast with solutions. That matters, because rapid implementation can create a head start in the competitive environment SMEs operate in. Through case studies and reports, AI partners can show how prior implementations meaningfully contributed to time savings and efficiency gains. A swiftly executed AI rollout at an SME can directly translate into tens of hours saved per week. The Boxing Society project, for instance, saved 20 hours per week and saw a 40% increase in leads.

AI partners bring deep knowledge of models, compliance (such as the EU AI Act), and field experience to make AI deliver value quickly. Programmes like kickstart trajectories can produce a fast return on investment (ROI), an important selling point in the AI space. By leveraging proven AI solutions, organisations can cut costs and dramatically improve the efficiency of business processes. The result can be substantial time savings and cost reductions, for example up to 30% off operational costs within a year of implementation.

Self-building with ChatGPT Enterprise: balancing opportunities and challenges

Self-building with tools like ChatGPT Enterprise is appealing because it gives organisations full control over the development and customisation of AI systems. However, to use this technology effectively, businesses need to invest significantly in training their people and IT systems to roll out AI properly and safely. That implies potential cost and time investments that may end up higher than working with a partner.

Internal knowledge and capacity need to be substantial to manage and mitigate risks, such as working with sensitive data. While ChatGPT Enterprise is a powerful tool, the cost can be a heavy lift for smaller businesses. The cost savings AI promises must be weighed against the necessary investments in infrastructure and training.

Scalability and future-proofing: do it yourself or partner up?

Working with an AI partner gives you scalable solutions that can be rolled out quickly across other business processes. Studies show that companies that partner with AI specialists respond faster to market changes by flexibly adapting existing systems, without giving up quality or reliability. Custom-built solutions tend to be more tightly targeted on specific problems and easier to extend to new projects.

If you go it alone, you get the option to create tailor-made solutions designed specifically for your situation. Start-ups and smaller companies chasing specific goals can benefit from the freedom and innovation that self-building offers. Yet this can create delays down the line if your resources are limited, with potential consequences for competitiveness and customer satisfaction.

The choice between a partner and self-building is tightly linked to the long-term strategy and capacity of your business. Available resources, required speed, and strategic goals all play a role in this complex decision. Avoid running short on skills by exploring workshops and training programmes that strengthen teams without hurting day-to-day operations.

Conclusion: how do you decide between partner and self-build?

When making this choice, look realistically at your current resources, long-term goals, and the urgency of your AI rollout. Think carefully about both the upfront costs and the ongoing costs and resource demands of each option. An AI partner can help you achieve fast results without large initial expenses, but it requires trust in external expertise.

Ultimately, the choice has to fully align with your core business strategy and fit the growth paths you have in mind. Companies should also consider how far they want to invest in internal skills and technologies that go beyond current requirements. It all comes down to finding the optimal balance between cost-effectiveness, agility, and innovation, while managing the potential risks of a self-build strategy.

Frequently asked questions

Sources

1. palcode.ai — ROI breakdown payback period of AI bid outreach
2. nodewave.io — AI ROI CFO playbook
3. Deloitte — AI ROI: the paradox of rising investment
4. Redmond Mag — Cybersecurity concerns push SMBs to increase spending
5. CloudZero — How much does AI cost
6. Exact — Dutch SME split on AI adoption