Eric Jadi & Rene Pajta
Rethinking Workflows in the Agentic Era
#1about 5 minutes
Moving beyond chatbots to complex AI-driven workflows
Common single-shot AI use cases are limited, so the focus should shift to automating complex, multi-step processes that mirror human workflows.
#2about 4 minutes
Selecting and evaluating workflows for AI automation
Choose non-time-critical processes where accuracy is more important than speed and the output can be scored using objective, verifiable evaluation criteria.
#3about 3 minutes
Decomposing human processes into agent-driven units
Map an existing workflow by identifying actors and decision points, then break it down into goal-driven, injectable units with clear input-output contracts for each agent.
#4about 4 minutes
Designing and implementing multi-agent collaboration patterns
Structure agent interactions using patterns like linear chains, branching, or dynamic orchestration, and scale the system by refining prompts and optimizing model choices.
#5about 7 minutes
Demo of an agentic system for Azure architecture design
A multi-agent system uses an Azure expert, a cost specialist, and a project manager to design cloud architecture and incorporates a human-in-the-loop via a phone call for feedback.
#6about 4 minutes
Demo of automating unit test generation and validation
A workflow automates unit test creation by using separate agents to generate pseudo-code, write C# tests, and then compile and run them to validate code coverage.
Related jobs
Jobs that call for the skills explored in this talk.
Matching moments
03:27 MIN
Moving from robotic process automation to agentic AI
Unlocking Value from Data: The Key to Smarter Business Decisions-
02:52 MIN
Envisioning hybrid teams and 90% AI-written code
Agents for the Sake of Happiness
01:31 MIN
Understanding the shift to the agentic era
Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents
04:06 MIN
The evolution from rule-based RPA to agentic AI
The Deichmann RPA journey: Step by step with low-code automation to success
05:22 MIN
The rise of AI agents in business processes
AI in Action: Real Use Cases with Real Impact - Hanna Hennig, Michael Ameling, Tobias Regenfuss
02:48 MIN
Understanding the core components of agentic AI systems
Agentic AI Systems for Critical Workloads
08:47 MIN
Shifting focus from standalone models to complete AI systems
Navigating the AI Revolution in Software Development
07:42 MIN
The future of AI as a colleague in the workplace
Leading efficiency, empathy, and the human experience with AI
Featured Partners
Related Videos
23:39Building Blocks for Agentic Solutions in your Enterprise
Dennis Zielke & Rene Pajta
26:35Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure
Ricardo
24:22Beyond Chatbots: How to build Agentic AI systems
Philipp Schmid
29:03On a Secret Mission: Developing AI Agents
Jörg Neumann
28:53Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure
Mike
23:33Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact
Oliver Will
28:09Leading efficiency, empathy, and the human experience with AI
Ming Wu, Alexander Birke, Benjamin Perlzweig & Emmanuel Viale
26:54Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents
Marcel Scherenberg
Related Articles
View all articles
From learning to earning
Jobs that call for the skills explored in this talk.
Commerz Direktservice GmbH
Duisburg, Germany
Intermediate
Senior
Amdocs
Kontich, Belgium
Senior
Terraform
Kubernetes
Machine Learning
Continuous Integration
Agiliz