Session Details
802: BYOD: From Calculator to Coworker: The Art of AI Delegation
Most people use AI the way they use Google: type a question, get an answer, move on. That’s not collaboration. That’s search with better grammar. The gap between using AI as a calculator and working with it as a coworker isn’t a technology problem. It’s a delegation problem. And most organizations have never taught their people how to delegate to an AI system, because most people have never been taught to delegate well at all.
This hands-on session introduces two practitioner-tested frameworks for making AI delegation intentional and repeatable. The Three I’s framework (Intelligence, Information, Instructions) gives participants a design model for configuring any AI interaction: choosing the right engine, shaping the context it works from, and setting constraints that keep output useful. The SPECIAL capabilities model helps participants match AI strengths (summarization, pattern recognition, extrapolation, contextualization, ideation, assessment, language transformation) to actual work tasks, filtered through three decision lenses: Does this task need the AI to make it up or look it up? How specific does the output need to be? And what’s the cost of being wrong? Participants will apply both frameworks to real work scenarios during the session, moving from abstract understanding of AI to concrete delegation decisions they can use immediately.
In this session, you will learn:
- The Three I’s framework (Intelligence, Information, Instructions) for designing AI interactions that produce reliable, context-appropriate output.
- How to use the SPECIAL capabilities model and three decision lenses to match AI strengths to real work tasks based on risk, specificity, and task type
- The difference between prompting AI and delegating to AI, and why delegation skills matter more than prompt engineering for sustained adoption.
- How to evaluate where your team sits on the Agent Spectrum, from general-purpose LLM use through digital coworker, and what that means for how you configure trust and oversight.
Technology Required:
Laptop
LLM