What should run the automation? Inside the Q3 AI Workflow Index
11月12日(木)
1 PM ET
The first edition of AI Workflow Index looked at where AI belongs inside a workflow. This edition asks the next question: should a model keep checking for work, or should software start it when there's something to do?
Andre Vanier, Head of Zapier Research Lab, presents the new research live, the day it goes public. Kate Sama, Sr. Director of AI Automation at HubSpot, joins him on the panel.
You'll leave with a practical way to price your own AI workflows before you commit to 2027 tools and spend.
Deciding what should run the automation
Teams are setting 2027 AI budgets right now, and most still can't say what their AI workflows will cost to run.
Running cost is one part of the choice. Reliability, governance, and upkeep are the others. This session shows how to weigh all of them before you lock in a year of spend.
In this webinar, we'll cover:
– New Zapier Research Lab research on the running cost of real customer AI workflows
– What the first AI Workflow Index found, and the question this edition asks next
– Five questions to ask about any workflow before you choose what runs it
– How to price your own AI workflows before you commit to 2027 tools and spend
– When to revisit the comparison as prices and capabilities change
Can't attend live?
Register and we'll send you the recording after the webinar.
Can’t attend live?
Register today, and we'll send you a recording after the webinar ends.
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