Published May 30, 2024 · By CampaignsLive · Case Study
While most of the AI conversation in brand marketing through 2023 and 2024 focused on creative production — image generation, video tools, copy assistance — Wendy’s was running a different kind of AI experiment. FreshAI, the chain’s voice-based drive-through ordering system built with Google Cloud, was the most operationally consequential brand AI deployment of the period, and it has been quietly under-discussed in the marketing trade press.
The piece below is about what FreshAI actually was, why it matters as a marketing question even though it looks like an operations question, and what brand teams in adjacent categories should take from it.
What FreshAI actually does
FreshAI is a conversational AI system that takes drive-through orders at participating Wendy’s locations. The system handles the conversation end-to-end: greeting the customer, parsing the order, asking clarifying questions, handling modifications, suggesting add-ons, confirming the total, passing the order to the kitchen.
The technical stack is straightforward in retrospect — a fine-tuned large language model handling the conversation, Google Cloud’s speech infrastructure for audio I/O, integration with Wendy’s point-of-sale system for order routing. The implementation work was less in the model itself and more in the operational integration: getting the system to handle the long tail of menu items, modifications, regional variations, and customer-side communication patterns that drive-through ordering produces.
The pilot launched in mid-2023 at a location in Columbus, Ohio. By 2024 it had expanded to additional locations. The chain has been deliberately incremental about the rollout, which matches the structural realities of food-service operations — system reliability matters more than feature breadth at the order-taking layer.
Why this is a marketing question, not just an operations question
Three reasons.
Brand voice is now an operational interface. The way Wendy’s interacts with customers at the drive-through is part of Wendy’s brand. The voice the AI uses, the language it chooses, the tone of its clarifying questions, the way it handles errors — these are all brand expression. Wendy’s marketing leadership has been visible in the FreshAI rollout because the brand voice cannot be delegated to operations alone; it has to be designed in. The training data, the tone calibration, the failure-mode handling are brand decisions before they are operations decisions.
Drive-through ordering is a customer-experience moment. The drive-through is where a meaningful share of Wendy’s customers have their primary brand interaction in a given week. Getting the interaction right — fast, accurate, conversational without being robotic — is a brand-experience consideration that scales across every customer transaction. The operational AI work is brand work, at scale, in the moment of consumption.
The data the system collects shapes future marketing. Every order interaction generates structured data about menu mix, regional preferences, time-of-day patterns, modification preferences, voice-channel-specific behaviors. The marketing team has access to a fidelity of order-pattern data that the brand did not previously have. Whether they use it — and how — is a marketing question with operational inputs.
What this opens up for adjacent brands
The FreshAI pattern generalizes to several adjacent categories.
QSR and fast-casual chains with substantial drive-through or counter-order volume. The integration cost is non-trivial but the operational case is clear; the brand-side framing matters because the voice the AI uses becomes a customer-facing brand element.
Retail with phone-based customer service. The same conversational AI infrastructure that handles a drive-through order can handle a retail customer-service call. Several major retailers were running parallel pilots through 2023 and 2024 with less public coverage than Wendy’s got.
Hospitality and travel with reservation-handling voice channels. Hotels, restaurants, and travel-booking categories where voice interaction is part of the customer journey. The brand voice consistency that Wendy’s invested in is structurally relevant.
Financial services with phone-based account servicing. The regulated nature of the category adds complexity, but the structural opportunity is the same. Several large banks were running pilots through 2024.
What it does not generalize to
Two categories where the pattern works less well.
Brand interactions where the human element is the value. A boutique hotel concierge, a high-end restaurant maître d’, a luxury retail personal-shopper relationship — categories where the human-to-human interaction is the brand’s value proposition cannot be productively replaced by AI voice. The category boundary is about whether the audience is paying for the human interaction or paying to complete a transaction.
Highly consultative or emotionally sensitive interactions. Medical triage, mental health support, complex customer disputes — categories where the cost of getting the interaction wrong is high and the human judgment required is substantial. The AI voice systems have improved enormously but have not crossed the bar for these categories.
What marketing teams should learn
Three working positions.
Brand voice extends into operational AI surfaces. A brand that ignores the voice its operational AI uses leaves a meaningful piece of brand expression on the table — and exposes itself to the risk that the voice ends up being whatever the vendor’s default sound is. The voice should be a deliberate brand decision.
The marketing-operations boundary has moved. The work of designing how a brand interacts with customers at scale is no longer entirely on the operations side. It is increasingly a cross-functional question that requires marketing’s input on tone, language, and brand expression. The teams that have organized for this — by giving marketing a seat at the operational AI deployment table — have produced better outcomes than the teams that have not.
Data fidelity from AI interactions is a marketing asset. The interaction data that flows out of conversational AI systems is more structured and more granular than the equivalent data from human-staffed interactions. Marketing teams that build the pipelines to use this data get a real lift in audience understanding and creative targeting.
The FreshAI deployment is one of the cleanest current demonstrations of what operational AI looks like when marketing is involved in the design rather than only the announcement. For brand teams in adjacent categories, the questions it raises are the right ones to be asking about the AI surfaces their own customers will be interacting with for the next several years.
For the related discussion of brand voice cloning in audio production, see The Quiet Maturity of Brand Voice Cloning in 2025.