Bojangles Scales AI Drive-Thru to Nearly 500 Stores With 96% Accuracy

Voice AI at the drive-thru has spent the better part of three years trapped in the pilot phase: promising demos, cautious expansions, and a lot of talk about what the technology might eventually do. Bojangles just made the "eventually" conversation obsolete.

The Charlotte-based chicken chain has deployed Hi Auto's voice ordering system, branded internally as "Bo-Linda," across nearly 500 restaurants, making it one of the largest drive-thru AI deployments in the country. The rollout spans both corporate and franchise locations, and the performance numbers have held at scale in a way that quiets skeptics who argued the technology was too fragile for systemwide use.

Order accuracy exceeds 96%. Order completion rates run around 93%. Those figures were not generated in a controlled lab or a handful of pilot stores. They have been maintained as the deployment scaled from 100 locations to 300 to nearly 500.

For QSR operators evaluating where voice AI fits in their technology roadmap, that consistency is the headline.

Why Scale Is the Hard Part

Any new technology can perform well in a dozen stores. The question operators have always asked is whether the numbers hold when you add shift changes, regional accents, menu complexity, background noise, and the unpredictable chaos of a lunch rush at a franchise location where the operator has been running his own systems for fifteen years.

The Bojangles data suggests Hi Auto's system clears that bar. The accuracy rate above 96% means fewer than four in 100 orders require significant human correction. At 93% completion, fewer than seven in 100 orders need a human agent to take over entirely. Both figures compare favorably to the documented error rates of human-only order taking, which industry benchmarks have long placed in the 10-to-15% range for complex or multi-item orders.

The labor impact is equally concrete. Bo-Linda reduces a drive-thru employee's workload by approximately one-third. That is not labor elimination. It is labor reallocation: employees who previously spent a shift repeating "would you like to add a biscuit to that" can now focus on order accuracy at the window, hospitality, and kitchen support during peak periods.

The Integration Story

Bojangles' deployment is notable not just for its scale but for the technical integration work behind it. Through a connection with Genius XPI, Bo-Linda feeds orders in real time to both the drive-thru customer display and the kitchen display system simultaneously.

The practical effect: kitchen teams can begin prepping items as they are spoken, before the full order is finalized. For a high-volume drive-thru averaging 90 to 120 seconds between car arrivals, that latency reduction adds up. Orders move faster, lines move faster, and the kitchen is never waiting on a completed ticket before it starts working.

There is also a car image capture feature tied to each order. The system photographs the vehicle at the ordering point and associates that image with the order, creating a visual confirmation layer that reduces mix-ups during peak periods when multiple cars are stacked in the lane. If a customer at the window disputes their order or a bag is handed to the wrong car, staff have a timestamped image linked to the correct order. It is a small operational detail that solves a real and persistent problem.

The upselling capability operates autonomously. Bo-Linda handles combo upgrades, size upgrades, and add-on suggestions without requiring a human prompt. For a brand where average check growth of even $0.25 per transaction translates to millions of dollars across a 500-unit system, the compounding effect of consistent AI-driven upsell prompts is material.

Context: Where This Fits in the Industry

Bojangles is not alone in pushing voice AI toward enterprise scale, but it is part of a small and accelerating group.

Yum Brands has processed more than 2 million drive-thru orders through AI voice ordering across roughly 300 Taco Bell locations as part of its ongoing technology rollout. Yum's broader investment thesis treats AI-assisted ordering as infrastructure, not a feature, and its internal data on order speed and accuracy has been positive enough that the company has continued expanding rather than pausing.

White Castle has deployed SoundHound's voice AI system across a significant portion of its locations, with results that the chain has publicly described as operationally sound. White Castle's use case is somewhat different from Bojangles or Taco Bell given its smaller system size, but the deployment has demonstrated that voice AI can work outside the largest QSR brands.

The Bojangles deployment at nearly 500 locations puts Hi Auto in the same conversation as SoundHound and Presto Automation as one of the few voice AI vendors that can point to enterprise-scale results rather than pilot-scale promises.

What the Numbers Mean for Franchise Operators

The franchise dimension of the Bojangles rollout is worth examining separately. Corporate deployments are controlled environments. The operator team controls the technology stack, the training protocols, and the implementation timeline. Franchise rollouts are different: you are asking independent business owners with their own cultures, their own staff, and often their own skepticism about new technology mandates to change how their drive-thrus operate.

The fact that the accuracy and completion rates have held across both corporate and franchise stores suggests Hi Auto's onboarding and support infrastructure is capable of managing a multi-operator deployment at real scale. That matters because franchise system AI deployments that succeed at corporate often break down when extended to franchisees who have less technical support and less tolerance for a system that requires constant intervention.

Operators at chains that have not yet committed to voice AI should note that the 93% completion rate means a human override is still built into the system. Bo-Linda does not eliminate the employee, it changes the employee's role. The remaining 7% of orders that require a human takeover are handled by staff who are no longer occupied with the other 93%. Net result: faster service on most orders and no service degradation on the orders that require a human touch.

The Accuracy Threshold Question

The 96% accuracy figure raises a natural question for operators: what is the threshold at which voice AI becomes operationally viable versus a source of guest friction?

Based on Bojangles' deployment and the data emerging from Yum's Taco Bell rollout, industry consensus is converging around 95% as the floor for production deployment. Below that, the volume of incorrect orders creates enough customer complaints, remakes, and waste to offset the labor savings. Above it, the error rate is low enough that it falls within the range of normal human variation.

Hitting 96% at 500 locations is not a guarantee that every operator who deploys voice AI will see the same result. Menu complexity, POS integration quality, and local accent diversity all affect performance. But it does establish a credible reference point that operators can use when evaluating vendor claims.

Vendors who cannot demonstrate maintained accuracy above 95% across a large multi-location deployment should be viewed with appropriate caution, regardless of how their pilot results look.

Where the Technology Goes Next

The Bojangles deployment represents voice AI moving from experiment to infrastructure. The remaining question for the industry is not whether the technology works; it is how quickly the operational benefits compound as AI systems become more deeply integrated with kitchen management, loyalty programs, and demand forecasting.

The car image feature points in an interesting direction. An image tied to each order is not just a dispute-resolution tool. It is a data stream that, properly analyzed, can reveal patterns in order accuracy, service time by vehicle type, and staffing optimization at peak periods. Whether Hi Auto or Bojangles pursues those applications is an open question, but the infrastructure for them now exists across nearly 500 locations.

For operators at chains that have been watching voice AI from the sidelines, the Bojangles numbers shift the calculus. The technology is no longer in the "wait and see" category. It is in the "figure out when and how" category.

QSR Pro Staff covers technology, operations, and finance for quick service restaurant operators and investors.