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.
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From learning to earning
Jobs that call for the skills explored in this talk.



Generative AI & Agentic AI Senior Consultant 60-100%
Eraneos Switzerland
€124-208K
Senior
Azure
Amazon Web Services (AWS)

Artificial Intelligence (AI), Agents & Copilot Architect
Techem Messtechnik GmbH
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€52K
API
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Redis
+5




