AI in the company - How should organisations prepare for the implementation of artificial intelligence?

In Poland, as many as 70% of companies say they are using artificial intelligence. AI is a technology that promises higher efficiency, innovation and decision support - a true revolution of business operations.

Table of Contents

• Building an AI strategy in a company: How to use artificial intelligence effectively?
• Artificial intelligence in the company - data and infrastructure
• Developing AI competence in the company - training and change management
• Gradual implementation of AI into the organization
• Why implement AI in a company?

However, reports on the maturity of the Polish market on AI indicate that only 1 in 3 companies are realistically using the potential of artificial intelligence. An even smaller percentage of companies have actually implemented it on a large scale. This discrepancy between declarations and reality shows how many Polish organizations stand at the threshold of the AI revolution, but don't know how to carry it out effectively. This is your chance to leave this competition far behind.

Building an AI strategy in a company: How to use artificial intelligence effectively?

Developing a clear strategy that defines how AI will support your business goals keeps the whole process organized. Artificial intelligence should be implemented as a response to specific problems or to take advantage of new opportunities, not just because it's a trendy topic. It is worth starting with:

• Identifying areas: Identifying the tasks where AI can bring the most benefit will allow you to focus your efforts on the most important parts of the business (e.g., supply chain optimization, customer service automation, or data analytics)
• Defining KPIs: To effectively measure the success of an AI implementation, it is necessary to define performance indicators (KPIs). Clear criteria and timeframes will allow you to monitor the process and verify that your investment in AI is actually delivering the intended results.
• Readiness assessments: The company must have adequate resources to implement AI. This includes the availability of data, as well as adequate infrastructure and employee training. Without these elements, AI will not be able to deliver the expected results and will remain an untapped potential.

Read also: Using AI in business: Optimization, personalization and automation using artificial intelligence

Artificial intelligence in a company - data and infrastructure

Data as fuel for AI

It is information that drives the algorithms. To operate effectively, AI will require complete, consistent and high-quality data about your business. It needs to be cleaned of duplicates and inconsistencies beforehand - otherwise artificial intelligence will learn from mistakes, possibly duplicating them later. Standardization of data formats is key. It is worth using data integration systems that organize, enrich and activate resources, providing easy access to the information needed.

Technology infrastructure for implementing AI into business

Modern solutions such as machine learning and deep learning may require upgrades to existing IT infrastructure. Such technologies typically need significant computing power. However, this problem is solved by cloud services, which use external servers, and are additionally cost-effective.

Security of your data

When implementing AI, it is also important to ensure that proper security protocols are in place. The collection of data about a company and its customers requires special attention to privacy and information security - including when AI is processing this data.

Developing AI competencies in a company - training and change management

People are the heart of any organization, and their commitment and skills are the guarantee of success in implementing any new tool, including artificial intelligence. Support your employees in this process, through:

• Training and re-qualification: Invest in your employees - they need to be well prepared for the changes and opportunities that AI brings. Knowing how to use the new tools and how AI will affect their daily work will help them realize the full potential of this technology. We recommend our Marketing Automation 2.0 and Synerise certified solution training courses.
• Building AI teams: To successfully implement artificial intelligence, consider hiring specialists or team augmentation solutions in AI, data science and data engineering. An in-house AI team can be essential, especially for more advanced implementations.

Explore the services our team of professionals can support you with: Managed services in marketing automation and loyalty

• A culture of innovation: Implementing AI requires creating an organizational culture that is open to experimentation, learning and innovation. Artificial intelligence should not replace employees, but support them in their daily work, increasing their efficiency.
• Transparent communication: An important element in the implementation of AI is clear and open communication with employees about the goals of the project and its impact on the organization. Such transparency helps allay fears and build team commitment, which increases the chances of implementation success.

Gradual implementation of AI into the organization

Artificial intelligence is a tool to improve a company's processes, not to revolutionize it all. Implementing AI should be a gradual transformation, starting with small but strategic pilot projects. These allow the company to test the tools in practice, to assess their effectiveness and usefulness, without risking high costs.

After a successful pilot, the next step is to gradually expand the use of AI to other areas of the company. Drawing on the experience of the first project, you can effectively scale these solutions, matching the tools to the processes and needs of the organization.

Why implement AI in a company?

Implementing artificial intelligence in a company can give you a competitive advantage by enabling process automation, advanced service personalization and cost optimization.

Practical solutions such as chatbots, personalized recommendations and automated customer service can significantly improve customer satisfaction and strengthen a company's position in the market. Artificial intelligence is the cornerstone of the future for any business that wants higher efficiency, innovation and greater competitiveness. Is your company ready for this step?