Rodrigo Groener
Lead Consultant, Objektkultur Software GmbH
Lead Consultant, Objektkultur Software GmbH
Stuttgart, Germany
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Rodrigo Groener has been working with Microsoft Dynamics 365 and the Power Platform for more than ten years, delivering projects as a developer, project lead, and solution architect. His focus has ranged from building business applications on Dataverse and Dynamics 365 to designing scalable integration and governance architectures for enterprise customers.
Over the past two years, Rodrigo has been deeply focused on how Dataverse can serve as a robust platform for AI voice agents, especially in customer service scenarios where reliability, observability, and low-latency API design are critical. He enjoys translating real-world project experience into practical patterns and reusable templates that teams can apply immediately.
Rodrigo Groener arbeitet seit über zehn Jahren mit Microsoft Dynamics 365 und der Power Platform und hat in dieser Zeit Projekte als Entwickler, Projektleiter und Lösungsarchitekt umgesetzt. Sein Schwerpunkt reicht vom Aufbau von Business-Anwendungen auf Basis von Dataverse und Dynamics 365 bis hin zur Konzeption skalierbarer Integrations- und Governance-Architekturen für Enterprise-Kunden.
In den vergangenen zwei Jahren hat Rodrigo sich intensiv damit beschäftigt, wie Dataverse als robuste Plattform für KI-Voice-Agents genutzt werden kann insbesondere in Customer-Service-Szenarien, in denen Zuverlässigkeit, Observability und ein Low-Latency-API-Design entscheidend sind. Er übersetzt Erfahrungen aus realen Projekten gerne in praxistaugliche Patterns und wiederverwendbare Templates, die Teams direkt anwenden können.
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From ‘Dataverse feels slow’ to Root Cause: Observability with Azure Data Explorer and Kusto
When users say “Dataverse is slow”, the hard part is turning a feeling into evidence: Which requests are slow? Which tables, queries, users, forms, or customizations correlate with the spikes? In this session we share a practical observability approach for Dataverse and model-driven apps using Azure Application Insights telemetry and Kusto queries (Azure Data Explorer / Log Analytics).
We’ll walk through a real-world case where one of our customer reported intermittent performance problems. By building a dedicated monitoring dashboard, we identified slow query patterns, hotspots caused by customizations, and usage behaviors that amplified latency.
Agent-Ready APIs for Voice on Dataverse
Voice agents don’t fail because of the LLM, they fail because backend APIs are too chatty, too slow, and too data-centric. In voice, every extra roundtrip is audible.
In this session we share lessons learned from a real project integrating an AI voice agent with Dynamics 365 Customer Service and Dataverse as the system of record. We’ll present architecture and API design patterns that make voice interactions fast and reliable: bundling domain logic into “agent-ready” Custom APIs, returning pre-formatted plain-text snippets that a voice agent can speak directly to the caller, and defining stable business contracts instead of CRUD-style entity calls.
We’ll walk through concrete building blocks: a caller verification pattern where the agent asks for ZIP code and date of birth and validates them against Dataverse; and a case-creation pattern where the agent turns conversation context into a structured service request in Dynamics, while keeping latency budgets, security, and operability in mind.
Developer Week Swiss Sessionize Event
Rodrigo Groener
Lead Consultant, Objektkultur Software GmbH
Stuttgart, Germany
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