Signature Talk · 04

Agentic AI - Building the Next Generation of AI Employees

From single agents to multi-agent teams that run real workflows.

Ideal audience · Enterprise · Automation · Productivity
Overview

What this talk is about

Agentic AI is Gina's technical-but-accessible keynote on the shift from chat assistants to autonomous AI employees. She walks through the architecture patterns - planners, tool use, memory, and multi-agent orchestration - and shows real deployments where agents now own workflows humans used to babysit.

Audience takeaways

What your audience walks away with.

  • The difference between assistants, agents, and multi-agent systems
  • Where agents beat traditional automation - and where they don't
  • How to safely give agents access to tools, data, and money
  • A reference architecture for shipping your first production agent
Formats

Available as

  • 45-min Keynote
  • 60-min Deep Dive
  • Half-Day Agentic AI Workshop
Ideal for

Best fit events

  • Enterprise IT and CIO summits
  • Automation and RPA conferences
  • Product and engineering leadership offsites
  • AI and data-platform events

Bring Agentic AI to your stage.

Email Gina with your event date, audience, and format. Every talk is customized - never a recycled deck.

hello@flippinginnovations.com
FAQ

Questions about this talk

What is agentic AI?+

Agentic AI refers to AI systems that plan, use tools, and act autonomously to complete multi-step tasks - as opposed to chat assistants that only respond to a single prompt.

How is agentic AI different from RPA?+

RPA follows rigid, pre-recorded scripts. Agents interpret goals, choose tools dynamically, adapt to new data, and can handle workflows that were previously too messy to automate.

Are AI agents safe to deploy in production?+

Yes, when scoped with proper guardrails: least-privilege tool access, human-in-the-loop approvals for irreversible actions, observability, and hard budget/rate limits. Gina covers all of this in the keynote.

What kind of workflows are best for agentic AI?+

Multi-step knowledge work with clear success criteria - customer research, ticket triage, procurement lookups, data reconciliation, and internal reporting are common early wins.