Every order Papa Johns receives through UberEats and Grubhub has to be reconciled and the results determine exactly how much each franchisee gets reimbursed. Get it wrong, and the errors don’t stay internal; they show up in franchisee payouts, tax filings, and the close. Join leaders from Papa Johns, Alteryx, and Google Cloud to learn how Papa Johns built a governed business logic layer with Alteryx One, Google BigQuery, and Gemini Enterprise to make an AI reconciliation agent something the business could finally trust.
In this live webinar, you’ll learn:
Why raw AI outputs aren’t reliable enough for franchisee reimbursements or tax filings — and what a governed business logic layer changes.
How Papa Johns embeds reconciliation rules directly into the data layer, not just the dashboard
How Alteryx One and Google BigQuery run that logic natively across every delivery-partner data feed
How Papa Johns cut revenue leakage without adding headcount
Plus, using Papa Johns’ Gemini Enterprise-powered reconciliation agent as the working example, the panel will show exactly how a governed business logic layer turns a high-stakes financial process into one the business can act on with confidence.
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Partners
Meet Our Speakers
Rajkumar Irudayaraj
SVP of Global Technology and Innovation Partners, Alteryx
Michael Wyant
VP of Enterprise Data and Corporate Solutions, Papa Johns
Vinay Balasubramaniam
Director of Product, Google Cloud BigQuery
Stephen Archut
Sr. Director of Solutions Marketing at Alteryx
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