Proposed AI pilot concept · Restaurant franchising
One restaurant brand. Many operating decisions.
AI decision governance for restaurant and franchise operations
Download the proposed pilot one-pager
Public company context: Goodcents
Goodcents serves subs, pasta and catering. Its franchise site traces the first restaurant to Lenexa, Kansas, in 1989. The company publishes a De Soto, Kansas corporate address.
The operating question
A restaurant network can receive the same question from many locations while the correct answer depends on local hours, menu availability, catering capacity or an approved promotion. An AI assistant that combines old and current information can give a confident answer that a store cannot honor.
The proposed pilot approach
Start with one customer question: can this location fulfill this catering request? Attach the answer to a named location, a current menu, the requested date and an accountable operator. Let AI assemble an answer for review; let the operator confirm capacity and any commercial commitment.
What would need verification
- Keep corporate policy separate from location-specific availability.
- Show the source and effective date behind each menu or promotion answer.
- Route exceptions to the responsible operator before confirming a commitment.
- Measure answer accuracy and completed inquiries separately from page views.
How the proposed pilot could be tested
A proposed pilot would use 20 sanitized catering questions across several locations. Compare staff-only and AI-assisted answers for source accuracy, review time and unsupported commitments. Establish a baseline before setting targets.
Where Whitewater AIOS could fit
If the company chose to explore this concept, Whitewater AIOS could connect evidence, permissions and human decisions across the workflow. RiGi Group could help validate the problem, establish a baseline and scope a bounded pilot. No engagement is implied by this concept.
Which customer inquiry creates the most repeat work across your locations?
If this is a real priority, the next step is a conversation with the workflow owner—not a technology deployment. Scope, timing and fees would be agreed before any work begins.
Discuss a pilot concept · AI consulting in Kansas City