AI can speed up analytics work, but analysts still need to own the logic, review the output, and decide what can be trusted.
In this Alteryx in Action session, we will show how to build a human-in-the-loop AI workflow in Alteryx. Using a practical analytics scenario, you’ll see how to prepare data, calculate key metrics, use AI to interpret results, and add human review points to validate outputs before they support a business decision.
This is a practical how-to session for analysts who want to bring AI into their workflows without handing over the final call. You’ll see where AI can help, where human review matters, and how Alteryx helps keep the workflow repeatable, explainable, and ready for real decisions.
Attendees will learn how to:
Add AI into an analytics workflow without trusting it blindly
Validate AI outputs against business rules
Use human review points for exceptions and approvals
Combine automation, AI, and analyst judgment in Alteryx
We’re also sharing the PowerPoint Donovan used during the session, along with the workflow files, so you can revisit the demo and explore the build on your own:
Turning AI into Results: What Horizon Five Sees in Practice
Join Horizon Five and Alteryx for a fireside chat on how leaders turn AI into real outcomes, with a focus on execution, governance, and measurable impact.