.png)
Discover AI & automation as an
AI and automation can be used as solutions to pressing business challenges. Together, they deliver effects such as freeing up time and resources, making better data-driven decisions, and generating more value – faster and more cost-effectively – than is possible with human effort alone.
89%
of global CEOs rank AI as the most critical technology for future profitability and competitiveness.
69%
of IT leaders prioritize automation as a primary goal of AI initiatives (for increased efficiency).
87%
of CEOs believe it is urgent to implement frameworks for AI governance and risk management, with data privacy being the primary concern.
Our solutions
AI & automation
Companies are turning to AI and automation for a reason: they want to free up time, reduce costs, and make smarter decisions – faster than is possible with manual labor alone. As the volume of information explodes and demands for efficiency increase, intelligent automation becomes a natural tool for boosting productivity and reducing errors, while allowing employees to focus where they make the biggest difference.
AI makes it possible to “do more with less”: automate internal processes, scale operations without increased costs, and avoid mistakes that would otherwise eat into margins. At the same time, the technology handles the complexity of modern IT environments by detecting anomalies in real time, predicting problems, and offloading humans in critical, data-heavy workflows.
What is AI used for?
For both CEOs and IT leaders, it is crucial to understand how AI can contribute to business goals. Artificial intelligence has rapidly become a strategic tool in today's business landscape. AI provides an opportunity to drive innovation, strengthen competitiveness, and create new revenue streams.
For IT leaders, it is about streamlining operations, managing complex systems, and delivering technical solutions that meet business requirements.
But what can AI actually be used for in practice? Here are three key areas where AI creates tangible value for organizations:
Streamlining workflows
AI automates repetitive tasks such as data entry, document analysis, and customer service, freeing up time and resources for more strategic work.
Data-driven decision support
By analyzing large amounts of data in real time, AI provides better insights, faster decision-making, and increased precision in business strategies.
Innovation & new business models
AI enables the development of new products, services, and ways of working – from generative AI to predictive analytics – which opens up new revenue streams and competitive advantages.
What is the difference between AI and automation?
It is easy to confuse AI and automation because they are often used together – but they have different purposes and capabilities.
Automation – predictable, rule-based, fast
Automation is about programming systems to perform specific tasks according to fixed rules. It is perfect for repetitive, standardized processes where the input and output are known. Some examples of this include:
- Automated server patching according to a schedule
- Automatic creation of user accounts during onboarding
- Rule-based email sorting or invoice processing
Automation is stable, fast, and reliable – but it requires the process to be clearly defined in advance.
Artificial intelligence – adaptive, data-driven, learning
AI goes beyond traditional automation. It involves systems that can analyze data, identify patterns, make decisions, and improve over time – without every step being pre-programmed. Some examples of this include:
- AI-based monitoring that detects anomalous behavior in network traffic (anomaly detection)
- Chatbots that understand natural language and can handle complex support cases
- AI that prioritizes incidents based on history, impact, and probability
AI is particularly valuable when you need to manage complexity, large datasets, or situations where rules are not clearly defined in advance.
AI, automation, and security
In a sustainable IT strategy, AI, automation, and security should not be viewed as separate initiatives. They are interdependent and reinforce each other when integrated correctly. This presents an opportunity to build a more resilient, scalable, and intelligent infrastructure – but also a responsibility to ensure that the technology is used safely and ethically.
Automation streamlines and standardizes recurring tasks, reducing the risk of human error and increasing response times to threats. AI takes this further by analyzing large amounts of data in real time to detect anomalies, predict threats, and prioritize actions – which is crucial in an era where the threat landscape changes rapidly.
At the same time, both AI and automation require a robust security architecture. AI systems need access to sensitive data and must be managed with strict data protection, transparency, and control. Automated processes must be secured against manipulation and misconfiguration. When these three components work together, they create a powerful whole.
Microsoft Copilot - AI that delivers measurable impact from day one
70%
Users who report becoming more productive with Copilot.
3h/week
Time reclaimed per employee (≈10% of a work week) on average.
ROI≈4x
112–457% return on investment over 3 years according to analysis.
Microsoft Copilot: Your AI assistant
Microsoft Copilot is an AI assistant integrated into Microsoft 365 apps like Word, Excel, Outlook, Teams, and PowerPoint. It uses generative AI to help users write, summarize, analyze, visualize, and automate tasks directly within their work tools. Copilot combines the power of large language models with data from Microsoft Graph and your documents, emails, meetings, and chats – all with high security and respect for data privacy.
More efficient workflows
Microsoft Copilot automates routine tasks such as email, documentation, meeting notes, and data analysis. This frees up time for employees to focus on more value-adding and strategic work – regardless of role or department.
Data-driven decisions
By quickly analyzing large amounts of information, Copilot helps leaders and teams make better and faster decisions. It strengthens both operational efficiency and business strategy.
Innovation with Copilot Studio
With Copilot Studio, you can build your own AI agents tailored to your processes and needs – from customer service to internal support. This makes AI an integrated part of your business, not just a tool.
Security built in from the start
Copilot is developed with a focus on data protection, access control, and compliance with regulations such as GDPR. This means you can scale AI usage without compromising security.
Fast and measurable business value
Early adopters report clear results: increased productivity, faster delivery, reduced costs, and high user satisfaction. This makes Copilot an investment that delivers quick impact – both in terms of numbers and job satisfaction.
FAQ about AI & Automation
Can small businesses also benefit from AI and automation?
Do I need Microsoft 365 to use Copilot?
How does AI help with automation?
How do I activate Copilot in Microsoft 365?
How is AI used in business?
Is Copilot as good as ChatGPT?
Is Copilot included automatically when you buy Microsoft 365?
Is Microsoft Copilot AI free?
What are the benefits of combining AI and automation?
What does IT automation mean?
What is the difference between IT support and IT automation?
What role does IT play in automation?
Which AI program is best for businesses?
More services