Business Automation with AI
Accelerate and improve business processes with artificial intelligence. In this training, you’ll learn how to use AI to automate workflows, make smarter use of data, and create tangible business value – based on Microsoft Azure AI Services and Copilot technology.
From “something with AI” to a concrete plan
“We need to do something with AI,” a phrase heard in many organizations. But where do you start? In this training, we turn that idea into an actionable strategy. Together, we map your current level of AI and data maturity, identify opportunities, and explore how to choose the right technology to truly improve processes.
You’ll learn how to translate business goals into practical AI applications: from automating repetitive tasks to data-driven decision-making. We combine strategic insights with hands-on experimentation so you immediately see what works within your organization.
This training is delivered by experienced AI specialists from Betabit who work on business-critical Azure solutions every day. Their approach is pragmatic and results-driven: you’ll learn what’s achievable today, and how to grow step by step toward a mature AI strategy.
🕐 Duration: 1 day (8 hours, including workshops)
👥 Target audience: CTOs, IT managers, strategic management, product managers, software architects, and senior software engineers
What you’ll learn
After a short introduction to align on goals and expectations, you'll work through four blocks combining theory, practical assignments, and group discussions. Adaptable based on experience and learning needs.
- Opportunities and technology
- What is AI, and how is it evolving?
- Expectations and current opportunities for organizations
- Copilots (Coding Copilots, Copilot 365, Copilot Studio)
- Power Platform and Microsoft Graph
- AI as a Service: Vision, Speech, Language, Search
- Azure AI Foundry
- Demos: Copilot Studio, AI Search with RAG, Semantic Kernel
- Optional: Machine Learning and Microsoft Fabric
- Strategy and use cases
- Mapping data and AI maturity
- Brainstorm session: identifying relevant use cases with BXT
- Defining objectives and selecting technology
- Workshop: selecting use cases
- Risks, governance, and security
- Responsible AI and the AI Act (and other regulations)
- Standards and norms in data and AI development
- Data governance: data prep, data pipelines, on-prem vs. cloud
- Security according to OWASP and secure development practices
- Workshop: “Hack the AI”
- Expected costs
- Adoption, and implementation
- Steps in AI adoption
- Creating a checklist
- Training and knowledge development needs
- Return on investment and business case
- Discussion: becoming AI-ready
- Workshop: joint AI statement
- The roadmap
From ambition to execution
After this training, you’ll not only understand the possibilities of AI but also have a realistic plan to automate business processes more intelligently and securely. You’ll know the steps involved, the most suitable technologies, and how to add measurable value with AI.
Interested? We will contact you shortly.
Interested? Talk to Esther about it!
More training courses
-
AI Software Development Boost
Discover how to smartly leverage AI within Azure to develop software faster, more securely, and more intelligently. In this compact training, you'll learn how GitHub Copilot, Azure OpenAI, and machine learning add real value to your development workflow. -
Building Custom AI and Intelligent Apps
Design, build, and manage intelligent applications with Azure AI. In this training, you'll learn how to responsibly and practically integrate artificial intelligence into software – from design to maintenance – using Azure AI Services, Azure AI Foundry, and Semantic Kernel. -
The power of GitHub Copilot in your software development
Discover how GitHub Copilot helps you work smarter, faster, and with more enjoyment as a developer or tester. Learn how to responsibly integrate AI assistance into your development process – with a focus on productivity, code quality, and security.