Webinar
Augmented Intelligence vs. Autonomous Agents
The automation playbook for agentic workflows with human oversight
The fastest path to safely scale AI automation in your enterprise is knowing when humans should guide the work and when agents should run it end-to-end.
In this session, we’ll demystify the differences between autonomous agents and augmented intelligence, including with a human in the loop. We will also discuss when each model delivers the best outcomes and how to choose the right option for your workflow.
Using real patterns from Workday, Salesforce, and modern data stacks, we’ll walk through live demos that start with document intake and record matching, then branch into two modes: an augmented flow that drafts changes and pauses for human approval, and an agentic flow that executes end-to-end within policy guardrails.
You’ll see how to design prompts, wrap tools with governance (APIM, RBAC), set confidence thresholds and exception paths, and observe/trace behavior with visual telemetry, so you can scale safely without losing control.
What you’ll learn:
- A simple decision framework to pick augmented vs. agentic per workflow
- How to add opportunities for oversight by expert humans
- Patterns to orchestrate multi-step, multi-system tasks (read/validate/write)
- Metrics that matter: auto-resolution rate, exception rate, cycle time
