We Need AI: How to Approach Implementing Artificial Intelligence in a Company

Implementing artificial intelligence requires a tailored approach 

Every company has its own characteristics, from organizational culture and processes to business priorities and technical constraints. There is no universal method that guarantees successful AI implementation. What works as a breakthrough innovation in one environment can be needless complication in another. 

It is wise to start with small, quickly deployable solutions that achieve measurable results. This can be the automation of repetitive tasks, optimization of workflows, or improving the user experience. Artificial intelligence will quickly demonstrate its added value. 

A key element of success in implementing artificial intelligence in a company is appointing an evangelist or AI ambassador, a person who will take on the role of digital transformation lead in this area. Their task will be to coordinate the rollout, test solutions, measure results, and build trust and enthusiasm among employees. 

Expert support and practical use cases 

As external advisors, we help companies select appropriate tools, design the solution architecture, and train the AI ambassador. Our role is to ensure that technology supports business objectives. It is important to recognize that long-term success never stems from tools alone, but above all from the energy within the company, the readiness to change, and the team’s motivation to actually apply new knowledge in practice. 

Experience shows that companies gain the most from intertwining existing business processes with the considered use of modern technologies. Below we present a few solutions that have proven particularly effective for small and medium-sized enterprises, as they enable a rapid transition from idea to measurable results. 

Microsoft Copilot as a digital assistant for everyday work 

Microsoft Copilot is designed to understand your business environment and connect with the documents, data, and tools you use every day in Microsoft 365. Its advantage is that it understands content stored in SharePoint and other connected applications, so it can effectively help with document preparation, data analysis, and creating presentations. 

In practice, this means you can build a PowerPoint presentation in just a few minutes—work that would otherwise take hours—or summarize an email thread that lasted several days or even weeks into a clear overview. For teams, this means less time spent on routine tasks and more time for higher-value work. 

Copilot Studio for customized AI solutions 

Copilot Studio enables the creation of your own digital assistants that you can restrict to specific data sources or business processes. You can design a tool that understands and uses only information from your internal databases, documents, or applications. 

This approach is particularly suitable for companies that want to maintain control over data security while enabling employees to access information quickly. For example, you can connect Copilot Studio to an internal knowledge base to answer employee questions, prepare document drafts, or explain internal procedures. The result is fewer work interruptions and higher productivity, as employees get the answers they need faster. 

Claude as a developer aid to increase productivity 

Claude is an advanced tool intended primarily for software developers, helping them improve the quality and efficiency of their work. By using artificial intelligence, Claude can automate code review, suggest improvements, assist with debugging, and accelerate the development process. 

In practice, this means developers spend less time manually searching for bugs or looking for solutions on the internet and can devote more time to creating innovative features. For companies, this can be a key factor for faster product development and greater competitiveness in the market. 

Process automation with Make.com, Zapier and n8n 

Process automation tools such as Make.com, Zapier and n8n make it easy to connect different applications and systems and automate repetitive tasks. These tools often use artificial intelligence for better data interpretation and to automatically execute complex workflows without the need for heavy, large-scale programming.

In small and medium-sized enterprises, automation can speed up order processing, data synchronization between systems, notifications to colleagues and customers, and numerous other tasks. This reduces the possibility of errors, increases efficiency, and enables employees to focus on tasks that bring greater added value to the company. 

And what does ChatGPT say about this topic ? 

Implementing artificial intelligence in a company requires a thoughtful and structured approach. ChatGPT lists the following key recommendations: 

• Start with small solutions: Focus on a single department or one business process, for example automating meeting minutes. This way you can quickly validate results and avoid major risks. 

• Appoint an ambassador: Appoint an AI ambassador who will test solutions in the company, spread knowledge, and encourage the use of artificial intelligence among employees. 

• Measure ROI: Define measurable performance indicators before you start, such as time savings, error reduction, or increased sales. This will help you assess the actual impact of implementing artificial intelligence. 

• Emphasis on security and compliance: Establish clear rules for the use of artificial intelligence and a data protection policy to ensure the trust of employees and customers. 

• Continuous learning: Because progress in the field of artificial intelligence is extremely fast, regular training is essential for maintaining competitiveness and efficiency. 

It is important to understand that artificial intelligence will not replace people, but will empower them, enable more efficient work, and reduce the number of errors. 

In which areas do we implement artificial intelligence at Humanfrog? 

For us, artificial intelligence serves as an effective tool for generating and analyzing content and for automating routine tasks. It enables developers to increase productivity and focus better on more complex technical challenges. 

Our next goal is the integration of artificial intelligence with business data and systems, which will allow more precise analytics, better decisions, and more effective steering of the company’s development.