The revolving door in quick-service restaurants doesn't stop at the hiring event. It keeps spinning through the first shift, the first week, and the first month, where a new employee is most likely to walk out. Amp11, a startup founded by Christina Coyle, is betting that the fix isn't a better applicant tracking system, but a bilingual AI teammate that sits on the shoulder of the shift leader.
Coyle's background is the operational blueprint. She spent over two decades in recruiting and workforce transformation, with a focus that included designing and rolling out the McHire digital hiring platform for McDonald's U.S. franchisees [International Business Times, March 2026]. That experience, she notes, taught her that the real retention problem starts after the offer letter is signed. The company's product, named Cait, is a voice-first, bilingual AI shift manager built to provide real-time coaching and context to frontline leaders during a shift [PERPLEXITY SONAR PRO BRIEF]. The wedge is manager enablement, with the stated goal of slowing that costly frontline churn.
The operational wedge
Most restaurant tech targets either the back office or the point of sale. Amp11 is aiming for the space in between: the chaotic, people-heavy middle of a shift where decisions about staffing, customer complaints, and inventory happen on the fly. Cait is described as a conversational agent that a shift leader can talk to, intended to surface procedures, suggest task prioritization, and provide coaching in the moment [PERPLEXITY SONAR PRO BRIEF]. The concept of "Frontline Operating use" is cited as the framework, suggesting a focus on amplifying the effectiveness of existing managers rather than replacing them. For a district manager overseeing a dozen locations, the value proposition is consistency and reduced burden on their most critical,and often least experienced,managers.
The team behind the bet
The company's early formation points to a blend of deep restaurant operations and applied AI strategy. Coyle is the sole founder and CEO, bringing her extensive franchisee-facing experience from the McHire rollout [International Business Times, March 2026]. To build commercial and product momentum, she has brought on a founding sales leader, Scott Williams, focused on restaurant technology, and a strategic advisor, Marc Chesley, who joined in February 2026 [PERPLEXITY SONAR PRO BRIEF]. Chesley, formerly COO of Paradox AI, is advising on the Cait roadmap and AI-agent capabilities [PERPLEXITY SONAR PRO BRIEF]. This advisory hire signals a focus on the technical architecture of a reliable, voice-driven assistant, a non-trivial challenge in noisy kitchen environments.
| Role | Name | Key Background |
|---|---|---|
| Founder & CEO | Christina Coyle | Two decades in recruiting & workforce transformation; led McHire rollout for McDonald's U.S. franchisees [International Business Times, March 2026]. |
| Founding Sales Leader | Scott Williams | Focus on restaurant technology and AI [PERPLEXITY SONAR PRO BRIEF]. |
| Founding Strategic Advisor | Marc Chesley | Former COO of Paradox AI; advises on product strategy and AI-agent capabilities [PERPLEXITY SONAR PRO BRIEF]. |
The unproven middle
The ambition is clear, but the path to validation runs through a gauntlet of operational realities. The restaurant technology stack is fragmented and sales cycles can be long, especially for a novel product category like an AI shift manager. Without public funding announcements or named customer deployments, the commercial traction and product-market fit remain open questions. The technical hurdles for a reliable, voice-first assistant in a high-stress, acoustically challenging environment are also significant. Success will depend on a few critical, yet unanswered, factors:
- Deployment proof. The company lists a field presence in Florida, Arizona, and Illinois, but named, paying customers in the QSR or fast-casual space have not been disclosed [PERPLEXITY SONAR PRO BRIEF]. The first few public case studies will be the strongest signal.
- Integration depth. For an AI coach to be useful, it needs deep integration with POS data, inventory systems, and labor schedules. The depth of these integrations, versus manual data entry, will determine its utility.
- Manager adoption. The product lives or dies by whether overwhelmed shift leaders actually use it. Its design must reduce cognitive load, not add to it, which is a steep user-experience challenge.
The next twelve months
For Amp11, the coming year is about moving from concept to concrete proof points. The hiring of a sales leader and a product-focused advisor suggests the next phase involves commercial pilots and refining the agent's capabilities based on real-world feedback. The ideal customer profile here is a regional or national fast-casual or QSR chain with enough unit density to feel the pain of manager burnout and frontline turnover acutely, but with sufficient operational flexibility to trial a new enablement tool.
The realistic competitive set isn't other AI startups, but entrenched incumbents and inertia. It includes comprehensive workforce management platforms like HotSchedules or UKG, which already have the scheduling and compliance data but lack a proactive, conversational layer. It also includes the status quo: a three-ring binder of procedures and a district manager's phone that never stops ringing. Amp11's bet is that a specialized, voice-native assistant can carve out a new slot in the restaurant tech stack by owning the real-time enablement moment. The next shift is about to start.
Sources
- [International Business Times, March 2026] Christina Coyle’s Two Decades in Recruiting Are Informing New Ideas About Technology, Frontline Work, and Leadership. | https://www.ibtimes.com/
- [Wellfound] Amp11 Advisory Board Member job listing | https://angel.co/