AI Use Case Workshop (Generative AI / Microsoft 365 Copilot)

KPCS CZ, s.r.o.

Explore generative AI with our free AI UseCase Workshop! In 4 hours, we analyze your business, uncover opportunities, and propose potential use cases for integrating generative AI into your operations

Features and Benefits • Personalized Workshop: Our expert consultants will conduct a 2-4 hour workshop tailored to your business needs. • Needs Workshop: We’ll discuss your current situation and requirements to better understand how generative AI can benefit your business. • Opportunity Identification: We’ll help you identify opportunities where generative AI can be implemented effectively. • Use Case Identification: We’ll work with you to identify specific use cases where generative AI can be applied in your business. This could range from automating repetitive tasks, enhancing customer interactions, to generating insights from your data. • Solution Proposal: Based on the identified use cases, we’ll propose a concept of technology solution that best fits your needs. This could involve leveraging Microsoft’s AI services such as Microsoft 365 Copilot for enhancing productivity, Azure Cognitive Services for building intelligent apps, or other Microsoft AI services that align with your business requirements. • Implementation Guidance: We’ll provide guidance on how to implement the proposed solution, including the necessary steps, resources, and best practices to ensure a successful deployment.

Typical Use Cases

  1. Image Analysis – Automated Invoice Processing: A financial services company receives hundreds of invoices in various formats from different vendors every day. Manually extracting information from these invoices is time- consuming and prone to errors. With Azure Cognitive Services’ text extraction capabilities, the company can automate this process. The service can accurately extract key information such as vendor name, invoice number, date, line items, and total amount from the invoices, regardless of their format1. This not only speeds up the invoice processing time but also reduces errors, allowing the company to pay their vendors on time and maintain good relationships.
  2. Email Drafting: Microsoft 365 Copilot can assist in drafting emails by suggesting complete sentences or paragraphs based on the context of the conversation. This can save time and improve the quality of communication.
  3. Document Creation: When creating documents, Microsoft 365 Copilot can provide suggestions for content, structure, and formatting. This can enhance productivity and ensure consistency across documents.
  4. Coding Assistance: For developers, Microsoft 365 Copilot can suggest code snippets or even complete functions based on the programming task at hand. This can speed up the coding process and help avoid errors.

Typical Challenges Implementing Microsoft 365 Copilot can come with a few challenges:

  1. User Acceptance: As with any new technology, there can be resistance from users who are accustomed to their current ways of working. It’s important to communicate the benefits of Microsoft 365 Copilot and provide adequate training to ensure user acceptance.
  2. Data Privacy: Microsoft 365 Copilot learns from the data it’s given access to. Therefore, it’s crucial to ensure that sensitive information is not inadvertently exposed to the system.
  3. Context Understanding: While Microsoft 365 Copilot is designed to understand context, there may be instances where it doesn’t fully grasp the nuances of a conversation or document. This can lead to suggestions that are not entirely accurate or relevant.
  4. Integration with Existing Systems: Depending on the existing IT infrastructure, integrating Azure Cognitive Services can be complex. It may require significant changes to existing systems or workflows.
  5. Cost Management: While Azure Cognitive Services can provide significant value, it’s important to manage costs effectively. This includes understanding the pricing model, monitoring usage, and optimizing resource allocation.
  6. Technical Expertise: Implementing and managing Azure Cognitive Services requires a certain level of technical expertise. Organizations may need to invest in training or hiring skilled personnel.
  7. Understanding AI Limitations: AI technologies, including Azure Cognitive Services, have their limitations and can make mistakes. It’s important to understand these limitations and have appropriate checks in place.

How it Works

  1. Schedule a Workshop: Contact us to schedule a free 2-4 hour workshop at a time that suits you.
  2. Discuss Your Needs: Our consultant will discuss your current situation and needs during the workshop.
  3. Identify Opportunities: Together, we’ll identify opportunities and possible use cases for implementing generative AI in your business.
  4. Next Steps: After the workshop, you’ll have a clearer understanding of how generative AI can benefit your business and the next steps to take.