Huron · Agentic ROI Casino
Where will you hit the jackpot?
Choose a business area to explore ready-to-play agent examples or build a custom ROI scenario.
Huron Agentic ROI Jackpot
Set your assumptions, pull the reels, and see whether your AI investment hits the jackpot.
Featured use cases
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Inputs
Base salary for the person benefitting from AI
assistance.
This determines the estimated AI cost each time the agent
helps.
How often the agent is used each operating day.
Estimated time saved each time the agent helps.
Total app page loads across the organization each
operating day.
Cost to run the initial agent query or recommendation layer
when the page loads.
Time saved from surfacing recommendations, exceptions, or
next actions immediately.
Average number of user-triggered AI assists after viewing the
page.
Cost for recommendations, summaries, updates, or actions
triggered from the page.
Estimated time saved when a user acts on a
recommendation.
Built-in assumptions: 48 working weeks, 1,920 working hours per year, 240 operating days per year, and 30% overhead on top of base salary.
Annual Capacity Created
Employee time returned
AI Cost Equivalent
Vs. employee cost per minute
Annual Value After AI Cost
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Scenario results
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Annual Capacity Created
AI Cost Equivalent
Annual Value After AI Cost
Return on Investment
Modern HR User Experience
Annual Experience Touchpoints
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ROI Breakdown See the simple math behind this estimate
Assumptions and interpretation
View detailed projection Daily, monthly, annual, and three-year values
Value Over Time
| Period | AI Cost | Capacity Value | Value After AI Cost |
|---|