Taco Bell’s AI drive-thru expansion signals a new era

The drive-thru is rapidly becoming the proving ground for voice AI in the restaurant industry, with major chains moving from small-scale pilots to full operational deployment.

Taco Bell recently expanded its automated ordering technology to more than 890 locations across 38 states, according to Food On Demand, deepening its existing partnership with Omilia. This move aligns with similar adoption efforts at Wendy’s, Bojangles, Taco John’s and Zaxby’s, making it clear that conversational AI has shifted from a novelty to a core component of daily QSR operations.

The operational appeal for restaurant owners is obvious. Drive-thru lanes are notoriously labor-intensive, combining high order volumes with background noise, frequently shifting menus, and customers who rarely follow a standard ordering path. By offloading the ordering conversation to an AI system, employees can redirect their attention toward food preparation, guest service, and other in-store duties.

Yet the more significant narrative may not center on which chain has announced the biggest rollout. It might instead belong to the technology platforms proving that voice AI can perform reliably across diverse brands, markets, and operational conditions.

The Technology Partners Behind The Headlines

Restaurant brands naturally capture public attention, since customers interact with the technology at the speaker box. But the category’s true scale increasingly rests with the vendors supplying those systems.

Hi Auto, for instance, runs its AI Order Taker across roughly 1,000 quick-service locations in the U. S., U. K., Australia, and New Zealand. The company reports processing more than 100 million drive-thru orders annually, a transaction volume that would be difficult for any single-brand program to match.

That distinction carries weight because scaling voice AI involves far more than placing a conversational interface in front of a menu. The system must navigate accents, interruptions, substitutions, custom modifications, real-time inventory changes, and the chaotic acoustics of a live drive-thru, all while staying tightly integrated with restaurant workflows.

The true test, then, is not whether an AI can perform in a controlled pilot. It is whether performance holds when thousands of employees, hundreds of franchisees, and millions of customers engage with it across a broad network of stores.

Independent Testing Points To A Maturity Gap

Third-party research offers another lens on this question.

Intouch Insight’s 2025 Emerging Experiences Study deployed mystery shoppers to evaluate voice AI at Bojangles, Taco Bell, and Wendy’s. Across 120 visits where the AI was confirmed active, employees stepped in to assist during 22% of interactions. However, the variance between deployments was striking.

Bojangles, whose AI order taker is powered by Hi Auto, posted an employee-intervention rate of just 3%. Taco Bell came in at 30%, while Wendy’s hit 33%. Bojangles also led in customer satisfaction, with 67% of shoppers describing the interaction as “easy and smooth,” compared to 57% at Taco Bell and only 23% at Wendy’s.

The Bojangles results further showed a 40-second improvement in wait times and 100% speaker clarity. The point here is less about crowning a single winner and more about how dramatically deployment maturity can shape the customer experience.

Scale Becomes The Differentiator

That maturity is increasingly visible in how restaurant operators view their technology partners.

In 2025, Bojangles honored Hi Auto as its “Legendary Supplier of the Year,” a recognition tied to the rollout of its Bo-Linda AI Order Taker across more than 400 restaurants at the time. The award carried extra weight because it marked the first time a technology vendor had received that distinction from the chain.

For QSRs, such partnerships signal a broader definition of AI success. The objective is not to remove people from the drive-thru. It is to create additional capacity at a moment when labor availability, service speed, and revenue growth remain pressing concerns.

When an AI system can consistently handle routine ordering at scale, employees gain more time to focus on the human elements of the customer experience. Meanwhile, restaurants can leverage conversational ordering to boost throughput and introduce opportunities like suggestive selling.

The Next Stage Of Restaurant AI

Taco Bell’s expansion thus represents more than a single corporate milestone. It reflects a broader industry shift toward treating voice AI as part of the operational infrastructure rather than a flashy tech demo.

The coming competitive battleground will center on which platforms can sustain performance as deployments expand across brands, geographies, menus, and franchise networks. In that landscape, purpose-built technology and accumulated real-world experience may outweigh the novelty of simply placing an AI voice behind a drive-thru speaker.

The restaurant industry does not need AI for the sake of trendiness. It needs systems that can cut through the noise, complexity, and sheer volume of the drive-thru, and continue performing as the business grows. The companies demonstrating that capability across multiple brands may ultimately tell a more compelling story than the chains announcing each new rollout.