Katerina Chernevskaya - Upcoming Speaking Engagements

Katerina Chernevskaya

AI Practice Lead

Bulgaria

Speaker award

Speaker award

Speaker award

Speaker award

Speaker award

Upcoming Speaking Engagements

Katerina, an MVP, MCT, and renowned public speaker, focuses on Power Platform & AI. With twenty years of experience and key certifications in PROSCI, PMI, Power Platform Solution Architect, she leads in app development, AI, and adaptive work models. Active in the Microsoft community, Katerina mentors new tech talent and supports innovation. Katerina takes part in the #SharingIsCaring initiative, guiding community contributions to the Microsoft Sample Solution Gallery.

Katerina + Chernevskaya

Meet Katerina next at

DynamicsMinds 2026

25/05/2026

Who Gave the Agent Admin Rights?! Governance in Copilot Studio

DynamicsMinds 2026

ai

governance

compliance

copilot-studio

25/05/2026

Grand Hotel Bernardin

Portoroz, Slovenia

From Likes to Insights: Measuring real User Experience in Conversational AI

DynamicsMinds 2026

process-mining

azure-application-insights

copilot-studio

25/05/2026

Grand Hotel Bernardin

Portoroz, Slovenia

RBAC in Dataverse: When “Looks Secure” is a compliance problem

CollabDays Hamburg 2026

security

power-apps

dataverse

27/06/2026

Ahfs

Hamburg, Germany

Katerina can deliver sessions in

English

Bulgarian

Relevant industries

Computer Software

Connect with Katerina

DynamicsMinds 2026

DynamicsMinds 2026

25/05/2026, Grand Hotel Bernardin
Portoroz, Slovenia

From Likes to Insights: Measuring real User Experience in Conversational AI

process-mining

azure-application-insights

copilot-studio

In conversational AI, it’s unclear whether long dialogues mean users are engaged or simply stuck, and whether short ones indicate efficiency or frustration. Likes and dislikes don’t solve the mystery - most users skip feedback, and when they do, it rarely reflects the whole session. Without understanding the real user experience, teams risk optimizing blindly. Bots might look successful on paper but fail in practice, frustrating customers and wasting investment. A reliable, scalable way to interpret conversations is critical for improving both satisfaction and ROI. We’ll embed an AI prompt directly in Copilot Studio to classify user messages and configure memory to preserve conversation context. All telemetry is then streamed into Azure Application Insights as the single source of truth for behavior and performance data. From there, we extend the solution with Power Automate Process Mining, feeding in the classified dialogues to generate a DNA map and dialogue tree. This uncovers bottlenecks, reveals user paths, and enables truly data-driven decision making. Key takeaways: ✅ How to move beyond likes/dislikes and finally measure real conversational experience with AI-powered classification. ✅ How to use Azure Application Insights and Process Mining together to uncover the DNA of user journeys and pinpoint hidden bottlenecks. ✅ How to turn raw chat telemetry into data-driven decisions that improve both user satisfaction and bot performance at scale.

CollabDays Hamburg 2026

CollabDays Hamburg 2026

27/06/2026, Ahfs
Hamburg, Germany

RBAC in Dataverse: When “Looks Secure” is a compliance problem

security

power-apps

dataverse

RBAC in Dataverse is often misunderstood. Not because it is complicated, but because it is usually explained through roles and UI settings - instead of real access behavior. Many solutions look secure. Users see only “their” records. Buttons are hidden. Views are filtered. From a compliance perspective, this feels reassuring. Until it isn’t. In this session, we will look at how access control in Dataverse behaves when solutions move beyond demos and into real, multi-user scenarios. We will explore why UI-based access logic creates false confidence, how it breaks under collaboration requirements, and why this gap often turns into a compliance issue rather than a functional bug. Using practical, demo-driven examples, we will focus on Owner Teams and Access Teams as the mechanisms Dataverse provides to model access correctly: ✅ when records should be owned by teams rather than individuals ✅ how to manage dynamic, record-level access without manual sharing ✅ how access changes automatically as users join or leave a team You will learn: 💡 what RBAC in Dataverse actually enforces 💡 why UI logic does not satisfy compliance expectations 💡 how Owner Teams and Access Teams reduce over-permissioning 💡 how to design access models that remain defensible during audits No deep security theory. No “checkbox compliance”. Just practical access patterns that hold up when someone finally asks, “Who can see this data - and why?” (And yes, RBAC sometimes stands for Really Bad Access Control - especially during audits)