Problem / Solution Report

Problem

Hotels face chronic staffing pressures at front desks and call centers, especially during off‑hours and peak seasons. This leads to unanswered calls, long wait times, missed revenue opportunities, and inconsistent guest experiences. Labor shortages in key roles (front desk, housekeeping) persist, and hotels continue to rely heavily on phone channels despite the rise of digital self‑service. Legacy IVR systems merely deflect calls and do not resolve issues, requiring manual handoffs across siloed systems.

Solution

Lance builds AI voice agents that handle guest communication across phone and messaging channels and execute complex, multi‑system workflows (reservations, modifications, service requests) without human handoffs. Unlike tools that only log requests, Lance “owns the outcome” by navigating existing PMS/CRM/telephony stacks and making changes that stick. The product can be set up in under an hour, integrates with a hotel’s current tech stack, respects assignment rules and automations, and provides detailed reporting.

Value Proposition

By answering every call instantly and resolving a large share of requests end‑to‑end, Lance reduces front‑desk workload, improves CSAT, and recaptures lost revenue (e.g., reservation changes, upsells). Customer testimonials cite 30 %+ reductions in front‑desk call volume while handling more guest requests than manual teams. The additional “Lance IQ” layer offers revenue intelligence, predicting demand and automating pricing/overbooking decisions, positioning Lance as an operating system for hotel communications.

Why Now

Hotel employment remains below pre‑pandemic levels, and occupancy is stabilizing, creating pressure to meet higher guest expectations without adding headcount. Conversational AI has matured to handle natural dialogue, integrate with property systems, and deliver measurable containment and resolution. Competitor case studies demonstrate strong containment metrics, confirming both the need and feasibility of outcome‑oriented AI voice agents in hospitality.

Market and Competitors Report

Market Context

The global hotel base consists of ≈187 k properties and 17.5 M rooms. Staffing constraints remain acute, with 65 % of U.S. hotels reporting shortages and an average of 6‑7 open positions per property. Occupancy and ADR are stable, indicating sustained demand for guest‑communication automation.

Competitive Landscape

• PolyAI – Provides hospitality‑focused voice assistants handling 50 %+ of calls, 24/7 answer rates, and deep PMS integrations.
• AskSuite – AI‑powered omnichannel reservation assistant and communication platform, marketed as the #1 hotel chatbot with extensive integrations.
• HiJiffy – AI virtual concierge delivering 24/7 WhatsApp‑based guest engagement.
• Other entrants – Retell AI, VoiceGenie, and broader conversational AI platforms are entering hospitality but often lack vertical‑specific workflow execution.

Lance Positioning & Advantages

Lance’s messaging emphasizes end‑to‑end outcome ownership: the agent navigates existing PMS/CRM/legacy systems “as if it were your staff,” executing real transactional changes rather than merely logging tickets. Claims include rapid (<1 hour) setup, deep integration with assignment rules, and measurable reductions in call volume while increasing completed requests and revenue recovery. The founding team’s background in AI agents, ASR/NLU research, and large‑scale product delivery differentiates Lance in complex, cross‑system workflows.

Risks & Considerations

The market is competitive with well‑capitalized incumbents. Success hinges on robust integrations with major hotel systems, strong safety/guardrails, and demonstrable ROI across property types. Data privacy and brand‑voice control are essential. Additionally, brand confusion with a former fintech “Lance” exists but is unrelated.

Founders and Background Report

Lance (YC W26) was founded in 2026 by Caleb Chan (CEO), Gavin Brennen (COO), and Gatik Trivedi (CTO). The company builds AI agents for hotels that automate guest communication and operational workflows. Lance is part of Y Combinator’s Winter 2026 batch and is based in San Francisco.

Caleb Chan, CEO – Previously Head of Product and Founding Engineer at Silicon Valley Commerce, contributing to a nine‑figure exit. Held product roles at Google and Salesforce, building voice and AI agent technology. His background blends product leadership with deep experience in conversational AI and system integrations, directly relevant to orchestrating hotel operations.

Gavin Brennen, COO – Worked on AI agents at Domo and held product and customer‑facing roles at SmartSuite (Series A) and Zeus. His GTM and product experience with AI deployments informs Lance’s focus on outcome ownership and end‑to‑end request resolution.

Gatik Trivedi, CTO – Founder and exit of MedTec Innovate, conducted speech and language research at Stanford, and earned a dual EECS + Business degree in Berkeley’s M.E.T. program. Built agent infrastructure at GI Partners and worked on LLM evaluation at Knowtex (YC S22). His technical expertise spans ASR/NLU research, agent infrastructure, and large‑language‑model evaluation, aligning tightly with Lance’s voice‑agent product.

The founders’ combined experience in product engineering, AI research, and operational scaling underpins Lance’s ability to deliver a production‑grade voice agent that integrates with legacy hotel systems and executes multi‑step tasks reliably.