Session
Onboarding AI: How to Recruit, Train & Manage Your AI Workforce
Friday 24 July
13:00 – 14:00
Educator 1
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What if building an AI agent was less like writing code and more like hiring a new employee?
In this talk, we explore the emerging reality of digital workers — AI agents that don't just answer questions but autonomously execute tasks, make decisions, and collaborate across enterprise systems. Using the familiar metaphor of the employee lifecycle, we'll walk through what it actually takes to go from experimenting with LLMs to deploying a reliable, governed AI workforce in a real enterprise environment.
We'll cover the full journey: recruiting the right AI stack for your needs, onboarding agents into your existing systems and data, training them to understand your domain, managing them with guardrails and human oversight, running performance reviews to measure real business impact, and knowing when to scale the team — or let an agent go.
This is not a demo-driven fairy tale. Expect honest lessons from the trenches — what works, what breaks, and what nobody warns you about when you start treating AI agents as part of your workforce.
Whether you're a developer building agents, a tech lead evaluating frameworks, or a decision-maker exploring AI strategy, you'll walk away with a practical, battle-tested playbook for bringing digital workers into your organization.
Key takeaways:
A practical framework for thinking about AI agents as digital workers
Architecture patterns and tool choices for enterprise-grade agents
How to implement guardrails, governance, and human-in-the-loop oversight
Evaluation strategies — measuring what actually matters
Lessons learned from deploying AI agents in a regulated enterprise
In this talk, we explore the emerging reality of digital workers — AI agents that don't just answer questions but autonomously execute tasks, make decisions, and collaborate across enterprise systems. Using the familiar metaphor of the employee lifecycle, we'll walk through what it actually takes to go from experimenting with LLMs to deploying a reliable, governed AI workforce in a real enterprise environment.
We'll cover the full journey: recruiting the right AI stack for your needs, onboarding agents into your existing systems and data, training them to understand your domain, managing them with guardrails and human oversight, running performance reviews to measure real business impact, and knowing when to scale the team — or let an agent go.
This is not a demo-driven fairy tale. Expect honest lessons from the trenches — what works, what breaks, and what nobody warns you about when you start treating AI agents as part of your workforce.
Whether you're a developer building agents, a tech lead evaluating frameworks, or a decision-maker exploring AI strategy, you'll walk away with a practical, battle-tested playbook for bringing digital workers into your organization.
Key takeaways:
A practical framework for thinking about AI agents as digital workers
Architecture patterns and tool choices for enterprise-grade agents
How to implement guardrails, governance, and human-in-the-loop oversight
Evaluation strategies — measuring what actually matters
Lessons learned from deploying AI agents in a regulated enterprise
