Eric Jadi & Rene Pajta

Rethinking Workflows in the Agentic Era

Ready to move beyond simple chatbots? Learn a practical methodology for building multi-agent systems that automate high-value, complex workflows like code migration and test generation.

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.

Featured Partners

From learning to earning

Jobs that call for the skills explored in this talk.