Ukrainian companies are increasingly building in-house teams and capabilities to work with AI technologies. Businesses aim to independently automate specific processes through their own AI solutions.
Anton Rotachov, Data Analyst at Span, has compiled answers to key questions about Copilot Studio – Microsoft’s platform for creating enterprise AI assistants without deep programming expertise.
Which Business Processes Can Be Automated with Microsoft Copilot Studio
Copilot Studio is a Microsoft solution that enables businesses to independently create their own AI agents. These agents can interact with users in a conversational manner, answer questions, perform actions, and automate business processes. It is also possible to enrich agents with domain-specific knowledge that they can use in their work.
Most commonly, such agents are used to automate responses to inquiries, provide customer consultations, and handle standard processes. For example, this may include a bot for processing incoming correspondence, an agent for document preparation, or for creating tickets in internal systems.
This approach helps reduce the workload on employees, automate routine and repetitive tasks, improve operational efficiency, and allow staff to focus on more strategic and value-driven activities.
Creating a Corporate AI Bot in Copilot Studio
Building a simple corporate bot in Microsoft Copilot Studio takes only a few minutes and does not require programming skills. The platform works as a visual builder, allowing users to configure topics, triggers, actions, and variables without writing code.
Each topic represents a separate dialogue scenario that can be created manually or generated automatically and then customized to meet specific needs. This makes AI tools accessible not only to IT professionals but also to business users.
Common Business Automation Scenarios with Microsoft Copilot Studio
Copilot Studio is most often used in processes that involve a high volume of repetitive operations or large amounts of documents and data.
For example, in logistics and finance, AI agents are commonly applied to automate the processing of invoices and supporting documents. Assistants can work with PDF files, extract required fields, validate calculations, and identify discrepancies. This is especially effective in environments with thousands of documents, where manual verification is time-consuming and prone to errors.
Another typical scenario is working with corporate knowledge bases. Copilot Studio is used to create internal AI assistants that analyze large volumes of internal documents, presentations, and reports. Employees can ask questions and receive immediate answers instead of manually searching across multiple systems.
Both examples clearly demonstrate that Copilot Studio is a practical platform that reduces employee workload and integrates effectively into real business processes.
Copilot Studio vs. ChatGPT: Key Differences for Enterprise Use
When viewed from a business perspective, the difference between these solutions lies not so much in the quality of responses as in the overall approach to using AI.
ChatGPT for business offers a high degree of freedom when working with a language model, but it is often used as a standalone chat tool without deep integration into corporate systems.
Copilot Studio, on the other hand, was designed with a different logic in mind – as a platform for building controlled, enterprise-grade agents that are embedded within a company’s IT ecosystem.
Key advantages of Copilot Studio compared to competitors include:
- Creating AI agents without the need for programming
- Working with existing corporate data, which provides agents with context and relevant knowledge
- A high level of security: all data remains within the Microsoft ecosystem and is not shared with third-party services
- Seamless integration with other Microsoft products and extensive customization capabilities
Copilot Studio vs. Power Virtual Agents: Which Should Businesses Choose?
In fact, the answer is quite straightforward. Copilot Studio is the next evolution of Power Virtual Agents. Power Virtual Agents was well suited for building basic chatbots with predefined, scenario-based logic, but today this is often no longer sufficient for business needs.
Copilot Studio retains the simplicity of the low-code approach while enhancing it with generative AI that understands natural language, works with corporate data, and can perform intelligent actions – not just respond based on predefined scripts.
In short:
- Power Virtual Agents focuses on simple dialogues and FAQ-style interactions.
- Copilot Studio is designed for intelligent, enterprise-grade assistants integrated into the IT ecosystem, with a strong emphasis on automation, scalability, and security.
Which Businesses Can Benefit Most from Copilot Studio
In practice, there is no strict list of industries where Copilot Studio is either essential or unnecessary, because artificial intelligence is not an industry-specific tool but rather a way to automate business activities across different sectors.
AI can deliver value wherever there are repetitive processes, large volumes of data, or a need for fast decision-making. However, when focusing on areas where the impact is most tangible for Ukrainian companies, several directions already demonstrate clear benefits:
- Logistics – processing invoices, tariffs, and documentation
- Finance and accounting – reconciliations, expense control, routine operations
- Customer support – automated responses, ticket handling, self-service
- HR and internal services – handling standard employee requests, onboarding
- Analytics and knowledge management – fast information search and summarization
Data Security in Microsoft Copilot Studio for Enterprise Customers
In Ukraine, data security is currently a critical concern for businesses, and in Copilot Studio it is built into the platform at a foundational level. All user data is encrypted both at rest and during processing and is not used to train models, which minimizes the risk of corporate data leakage.
The solution operates exclusively within the company’s IT ecosystem, in compliance with industry security standards and regulatory requirements. In addition, Data Loss Prevention (DLP) mechanisms and AI guardrails are applied to control data access and prevent undesirable or non-compliant agent responses.
How Much Does Microsoft Copilot Studio Cost in Ukraine
Pricing for Microsoft Copilot Studio is directly based on the level of agent usage, particularly the number and complexity of requests. The platform operates on Copilot credits, an internal consumption-based currency. Each agent uses a certain number of credits to generate responses, depending on request complexity. This makes the pricing model flexible and suitable for both small businesses and large enterprises.
Two payment options are available: prepaid plans or pay-as-you-go, allowing companies to control costs and scale usage gradually. More detailed pricing information is available in the Microsoft Copilot Studio Licensing Guide.
To optimize costs and choose the most effective Copilot Studio usage model, companies can work with a Microsoft-certified partner, Span.
Where to Start Implementing AI in Business Processes
Business competitiveness increasingly depends on the ability to operate faster and more efficiently. Artificial intelligence is seen as a powerful tool for process automation, yet for many companies the key question remains: where exactly should implementation begin to achieve tangible results?
Implementing Copilot Studio is best approached through several sequential steps:
- Identifying Business Processes
First, focus on routine and repetitive tasks where automation can deliver quick and measurable results. - Preparing Corporate Data
It is essential to ensure access to up-to-date and well-structured data that AI agents will work with, as data quality directly affects context and the accuracy of responses. - Creating the First AI Agents
At this stage, companies can begin configuring agents in Copilot Studio – without programming – using ready-made scenarios and seamless integration with Microsoft products.
To accelerate the journey from idea to real-world use, Span supports companies throughout the entire Copilot Studio implementation process – from planning to launch. During AI adoption, Span provides consulting support by helping to analyze business processes and identify those best suited for AI automation, select optimal pricing and licensing models, and implement a pilot project to evaluate solution effectiveness.
A separate focus is training. Span regularly conducts workshops covering platform functionality and hands-on implementation of core scenarios, enabling clients to gain practical experience in building AI agents.
Microsoft Copilot Studio becomes a practical tool for everyday business operations, while Span’s expertise ensures that AI delivers measurable value from the start – rather than remaining just another experiment.
Contact certified Span specialists and receive a free consultation to assess your business systems and identify the most effective AI implementation strategy: info.ua@span.eu.
For more information, visit our website: http://www.span.eu/ua.
