Everyone is experimenting with AI for big decisions, pasting memos into a chatbot and asking what to do. The advice is sometimes good, but you cannot see what it stands on: the assumptions, uncertainty, and tradeoffs are buried inside a black box. When your CFO or your board asks why, you cannot answer.
In this recorded webinar, Lumina’s Max Henrion and Lonnie Chrisman show why a shared decision model matters. They give the same business memo to ChatGPT and to Assista working with an Analytica model, and show why the two land on opposite recommendations. Along the way you will see how Assista helps structure models, explain results, run sensitivity analysis, estimate inputs and probability distributions, find and fix problems, and critique and improve your model.
What you will see
- A live-style walkthrough: the same business memo, handed to ChatGPT and to Assista, and why they land on opposite recommendations
- Why the $48,000 question at the center of the case study has two very different right answers, depending on who is advising you
- How Assista turns a plain-language conversation into a transparent, inspectable decision model in minutes, not weeks
- A tour of what Assista can do: build a model, estimate inputs and probability distributions, run sensitivity analysis, critique a model, explain results, write a report
- What this shift means for decision makers, and for the consultants and decision professionals who build models for a living
Who should watch
Analysts, consultants, decision professionals, and executives responsible for high-stakes decisions who want to use AI to improve decision making, but want something more solid than trusting the chatbot.
Speakers
- Max Henrion, Founder & CEO, Lumina Decision Systems
- Lonnie Chrisman, CTO, Lumina Decision Systems
