Presto vs Hi Auto: best AI drive-thru voice agent in 2026. Presto wins for the fastest order times at high-volume chains, Hi Auto wins for the smoothest handoff to staff on complex or unusual requests. Presto is the best pick for high-volume quick-service chains wanting the fastest order times - it integrates with headsets and POS systems to cut wait times and upsell automatically, and is used by chains including Dairy Queen, Wendy's, White Castle, and Checkers. Hi Auto is the best pick for locations that want the smoothest handoff to staff when a request gets complex or unusual, built specifically to avoid stranding a customer with an AI agent that can't handle an edge case. Both replace a stretched-thin speaker-box employee with a voice agent that takes the order directly, freeing staff for food prep and hospitality. The two, in one line each. Presto is a voice AI drive-thru system designed for speed and upselling, proven to cut wait times in busy quick-service environments and now running at the speaker box for major chains across dozens of states. Hi Auto is an AI voice agent for drive-thru and phone ordering built with a strong emphasis on handing off smoothly to human staff whenever a request goes beyond what the agent can confidently handle. Where each one actually wins. Presto wins on raw throughput at high-volume locations - its integration depth with headsets and POS systems and its focus on upselling make it a strong fit for chains where speed and average order value matter most during peak rushes. Hi Auto wins on graceful degradation - for locations with more varied or complex order patterns, its emphasis on smooth handoff to staff reduces the risk of a frustrated customer stuck with an AI that can't parse an unusual request. If your priority is maximum throughput and upsell performance at a high-volume location, Presto's speed-and-upsell focus is the more directly proven fit. If your order patterns are more varied or you're more cautious about customer experience when the AI hits its limits, Hi Auto's handoff-first design reduces that specific risk. Quick comparison. | Tool | Starting price | Core job | Best fit | | Presto | Custom, per-location pricing | High-throughput voice ordering + upselling | High-volume chains prioritizing speed | | Hi Auto | Custom, per-location pricing | Voice ordering with smooth staff handoff | Varied order patterns, customer-experience focus | Which one should you use? Choose Presto if your location runs high volume and speed plus upsell performance are the top priorities. Choose Hi Auto if you want an agent built specifically to hand off smoothly to staff whenever an order gets too complex for AI to handle confidently. Faq. How accurate is AI drive-thru ordering compared to a human employee? Industry data cited in 2026 puts AI-powered drive-thru order accuracy around 83% versus roughly 87% for standard human-only drive-thru orders - when staff support the AI on top of it, accuracy rises to around 95%, suggesting the strongest setup combines both. Does the AI agent handle payment as well as the order itself? Typically the voice agent takes and confirms the order, with payment handled through the existing POS and payment terminal at the window - confirm the specific payment-flow integration with each vendor for your setup. What happens when a customer's order is too unusual for the AI to understand? This is exactly where the two tools differ in philosophy - Hi Auto is specifically built to detect this and hand off to a human quickly, while Presto's approach leans more on speed and integration depth with less emphasis on conversational flexibility for edge cases. Do employees need retraining to work alongside an AI drive-thru agent? Some retraining is typically needed, mainly around when and how to step in for a handoff and how the AI-assisted workflow changes staff responsibilities during a shift, but it's generally a lighter lift than adopting a wholly new ordering system. Is AI drive-thru ordering only for large chains, or can independent restaurants use it too? Most current deployments are concentrated among larger chains given the scale of headset and POS integration work involved, though the category is expanding - check current vendor requirements if you're an independent operator considering either platform. Related guides. *Ratings and pricing reviewed monthly. Last updated September 2026.* Bogdex · Founder & editor, woska Bogdex builds and curates woska, testing AI tools against real workflows to judge which ones actually save time rather than which have the longest feature list. Found this useful? Enjoyed this guide? Ratings and pricing reviewed monthly. Last updated Sep 2026.

Hi Auto AI Order Taker rolls out across Lee's Famous Recipe Chicken franchise network after proven performance. As labor pressures and operational complexity continue to rise in the quick-service restaurant industry, brands are increasingly exploring automation to stabilize core workflows. Lee's Famous Recipe Chicken is now expanding access to Hi Auto's AI Order Taker across its franchise system after validating strong performance across 30 locations. The rollout reflects a shift from limited testing to broader system availability, supported by both operational data and infrastructure upgrades. Infrastructure alignment was A prerequisite for scale. Before introducing AI ordering more broadly, Lee's undertook a significant internal modernization effort. The company unified its POS system and menu database across its restaurant network, creating a consistent operational foundation. This step is critical for AI-driven ordering systems, which rely on structured, standardized menu data to ensure accuracy and reliability. Without it, system performance can vary significantly across locations. With this foundation in place, Lee's proceeded with a 30-store rollout of Hi Auto, incorporating both company-owned and franchise locations operating under real-world conditions. Franchisees offered choice, not requirements. Rather than mandating adoption, Lee's is making Hi Auto's AI Order Taker available to franchisees as an optional tool. This ensures operators retain control over whether and how they integrate the technology into their stores. The approach reflects a franchise-first mindset that balances innovation with operational independence. Ryan Weaver, CEO of Lee's Famous Recipe Chicken, described the philosophy behind the rollout: "Our operators are the backbone of Lee's, and it's our job to give them every advantage we can." He pointed to early results, including improved labor efficiency, reduced drive-thru congestion, and stronger guest order accuracy. Real-World results drive system interest. Across participating locations, Hi Auto has delivered more than 95% order completion rates and 97% accuracy in live drive-thru environments. These metrics are particularly important in high-traffic periods where operational mistakes can quickly compound. The system has also generated measurable operational benefits beyond order handling. Restaurants report saving three to eight labor hours per day, reducing employee turnover by 17%, and increasing average ticket size by approximately 1.5%. These outcomes suggest improvements across efficiency, labor stability, and revenue performance. AI changes the structure of restaurant labor. One of the most meaningful shifts introduced by AI ordering is the redistribution of labor responsibilities. Instead of employees managing both order-taking and food service tasks, AI handles the ordering function. This allows staff to focus more on food preparation, order quality, and customer interaction. During peak periods, this shift reduces pressure and helps maintain consistent service levels. Over time, this reallocation of labor may prove as impactful as the efficiency gains themselves. Hi Auto's scale reinforces reliability. Hi Auto operates at significant scale, powering nearly 1,000 drive-thru locations globally and processing more than 100 million orders annually. It is also used by approximately 200 franchisees across multiple regions. This breadth of deployment provides validation across different operational environments, strengthening confidence in its performance at scale. Hi Auto CEO Roy Baharav has emphasized that the platform is designed to enhance operator capability rather than replace human roles, aligning closely with Lee's operational philosophy. A gradual path toward ai-enabled drive-thrus. Lee's rollout reflects a gradual, infrastructure-led approach to technology adoption. By standardizing backend systems first and layering AI capabilities on top, the company is enabling scalable innovation without forcing uniform change. This ensures franchisees can adopt AI at their own pace while still benefiting from system-wide modernization efforts. As adoption expands, Lee's approach may become a reference model for how QSR brands can integrate AI into core operations while maintaining franchise flexibility and operational stability.