Agentic AI in finance: automating P2P inquiries (case study)

Agentic AI in finance: automating P2P inquiries (case study)

Can artificial intelligence handle the constant stream of finance queries? #AIAgents #Automation #ProcessIntelligence In this episode of the AI Automation Dojo, we host Mateusz Ślemp from Amer Sports. We discuss the deployment of their first global AI agent, a tool designed to help employees reclaim time spent on manual payment status checks in corporate systems. Mateusz explains why the agent is not connected directly to the SAP system and how PowerBI acts as a secure data layer to prevent system overload. We also cover the importance of data security and protecting confidential information in large organizations. You will learn how to manage AI projects in environments regulated by strict SOX audits. What you will learn in this episode: 🔸Replacing thousands of support tickets with a simple chat on Teams, 🔸Using PowerBI architecture instead of overloading the core SAP system, 🔸Why invoice amounts were intentionally removed from the agent database, 🔸The evolution from traditional RPA robots to intelligent agents, 🔸How a phased testing strategy helped detect business errors before launch, 🔸AI manages the heavy lifting while humans focus on exceptions.

AI Agents case study: 93% accuracy in legal document monitoring

How to safely implement #AIAgents and #UiPath in a large enterprise? Discover a real-world case study from the #Energy sector, where #Automation and #AI are supporting the legal department. 👉 Download the AI Automation Playbook here [https://office-samurai.com/2026-ai-automation-playbook/?utm_source=youtube&utm_medium=organic&utm_campaign=ai_playbook_2026_description_20260527]. In this episode of AI Automation Dojo, Andrzej Kinastowski breaks down a practical example from a Lithuanian energy company that successfully combined innovative AI solutions with strict cybersecurity requirements. You’ll see how to overcome “cloud paranoia” by implementing AI agents in a critical infrastructure environment, where a single mistake could create a real risk to power delivery.

What if you could see how work in your company really happens?

Are you managing your team based on facts or just "monthly averages"? It’s time to look at the real data behind #ProcessIntelligence, #WorkforceOptimization, and #OperationsManagement. In this episode of The AI Automation Dojo, Andrzej Kinastowski discusses why official company flowcharts and PowerPoints rarely match the reality of daily work. While management often relies on averages to distribute tasks, the raw data usually reveals a different story: some teams are overwhelmed with 12-hour workdays while others have hidden capacity. We explore how large organizations can use task mining to identify the real causes of low productivity. Instead of blaming "slow employees," we look at structural issues like system lag, too many meetings, and the "tool fragmentation" where people have to jump between dozens of different applications just to complete one process. This conversation is a guide for operations leaders and GBS/SSC managers who want to use data to balance workloads, improve employee morale, and make better decisions about automation and team size. What you will learn from this episode: 🔸 Why "monthly averages" hide the real bottlenecks in your operations 🔸 How to identify the "quiet heroes" – high-performing employees who are often overlooked 🔸 The impact of "tool fragmentation" (e.g., using 6 different SAP instances simultaneously) 🔸 Case Study: How Vesuvius used data to prove 12-hour shifts during month-end and redesigned their process 🔸 How to reduce team size through natural attrition and better workload balancing 🔸 Why system performance, not employee speed, is usually the reason for delays

AI Agent in Recruitment: CV screening (case study)

How to screen 1,300 CVs in 2 days? Discover #AIAgents and #Automation in this #Recruitment #Enterprise case study. In this episode of the AI Automation Dojo, Andrzej Kinastowski and Ola Kwiecień break down a massive project that actually made it into production. It’s not a theoretical POC; it’s a real-world solution for an HR department that was drowning in 1,300 applications per process. The problem was simple: three people cannot physically read every CV when the volume is that high. We talk about how an AI agent can step in to handle the initial screening, matching candidates against 15 specific requirements without ever being allowed to make the final "hire or fire" decision. You’ll see how to build a system that is both reusable and secure. We dive into the architecture that keeps the AI behind a layer of unattended robots to prevent prompt injections and accidental data leaks. This episode is a must-listen for talent acquisition specialists drowning in piles of applications, as well as for automation leaders looking for a secure way to implement AI within corporate architecture. If you are responsible for HR strategy or digital transformation, you will learn how to reduce application processing time from two weeks to just 48 hours, without sacrificing critical human oversight over AI systems.

12,000 hours saved yearly by automating the right processes

Is your department "fully automated"? That is the greatest corporate lie. Discover #ProcessIntelligence #Automation and #AIAgents in our latest episode. In this episode of the AI Automation Dojo, Andrzej Kinastowski takes a katana to the "Full Automation" myth, the claim by regional managers that their departments have nothing left to improve. In reality, most teams are simply getting "really, really fast" at manual work, acting as "human APIs" by moving data between systems like Salesforce and Excel. We discuss how to stop relying on subjective surveys and workshops and start using Process Intelligence as a "digital MRI" for your operations. You will learn how to uncover the "micro-tasks" and "shadow processes" that employees forget to report because they are so deeply ingrained in muscle memory they don’t even register them as "work" anymore. This episode is for Automation Champions, transformation leaders, and CFOs who demand hard, quantified financial proof instead of "magic." We show how to turn millions of raw user clicks into board-ready business cases, featuring a real-world example of a global client who recovered 12,000 manual work hours per year. Download the AI Automation Playbook [https://office-samurai.com/2026-ai-automation-playbook/?utm_source=youtube&utm_medium=organic&utm_campaign=ai_playbook_2026_description_20260408].