Build Agent Skills

Hoteliers can custom-build AI solutions by turning their existing workflows and SOPs into reusable AI Skills. With inHotel’s solution, operational knowledge becomes the blueprint for an agentic workflow that executes consistently alongside staff. Instead of adapting processes to generic software, the AI is designed around how the hotel already works. This allows hoteliers to automate decisions and repeatable tasks while keeping full control over standards, logic, and outcomes.

Traditional software defines where work happens, such as PMS or task tools, but still relies on people to execute correctly. AI Skills define how work gets done. Using inHotel’s solution, Skills encode expert logic and SOPs so AI agents can execute workflows consistently across tools. This makes Skills more flexible, modular, resilient, and cost-effective, than traditional software systems.

Yes. One of the key advantages of inHotel’s approach is that AI Skills are built directly on top of existing SOPs. Skill creators bundle their proven “golden SOP” into a Skill, allowing hotels to start from an expert-defined best practice rather than a blank slate. That same SOP then guides both human staff and AI agents, ensuring consistent execution across shifts, teams, and properties. This approach reduces change management, supports gradual adoption, and helps hotels raise operational standards by embedding expert knowledge into everyday workflows.

Trust is a common concern with AI, especially when prompts or workflows come from generic tech vendors with limited hospitality experience. inHotel addresses this by curating a Skill marketplace where Skills are created by experienced hospitality professionals, including hoteliers, tour operators, experience providers, restaurant operators, and their trusted partners. These contributors build Skills based on real-world operations, not theoretical use cases. Each Skill is vetted and guided to deliver at least a 10× ROI for customers before being offered commercially. This gives operators confidence that the AI logic reflects proven best practices and measurable value, which in turn increases adoption and distribution potential for Skill developers and publishers on the platform.

Yes. Instead of investing in broad AI companies, hospitality professionals can invest in building a single AI Skill focused on a workflow they deeply understand. inHotel enables this by allowing investors to fund and own specific Skills tied to measurable operational value. This approach limits risk because the investment is grounded in real hospitality use cases rather than speculative technology platforms.

Investing in hospitality AI Skills is an operational investment rather than market speculation. Instead of betting on broad market movements like the S&P 500, Skill investors fund a specific workflow they already understand, validate it in real hotel operations, and monetize it through subscriptions. inHotel’s agent Skills allow hospitality experts to digitize their know-how, distribute it through the inHotel marketplace, retain 80% of net revenues, and often reach payback in months. The returns are tied directly to customer value and operational impact, not to market sentiment or stock price volatility.

A smart vertical AI investment bet in hospitality focuses on specific workflows where operational value is clear, repeatable, and easy to validate. Instead of investing in broad, horizontal AI tools that try to serve many industries, hospitality experts can invest in AI Skills tied to areas they know deeply, such as operations, revenue, guest experience, or compliance. With inHotel, these workflows are turned into agentic Skills that follow real SOPs, deliver measurable customer value, and are sold on a subscription basis. This makes the investment less speculative, with faster payback, recurring revenue, and returns driven by adoption and operational impact rather than hype or market sentiment.

Yes. AI does not have to remain a pure expense. With inHotel, customers and partners that fund and own a Skill can resell it to other hospitality businesses facing the same challenges. What starts as an internal operational improvement can become a recurring revenue asset, allowing hotels to offset costs or even generate profit from AI adoption.

Payback depends on pricing and adoption, but many workflow-based hospitality Skills can recover development costs within four to six months. For example, a Skill priced at €80 per month adopted by 50 customers can generate sufficient net revenue to cover a €12,000 build in roughly five months under standard hosting and platform terms.

The downside is limited compared to traditional AI investments. At worst, the Skill improves the investor’s own operation by reducing labor, errors, or decision latency. Because Skills are built around workflows the investor already understands, the risk is operationally bounded rather than speculative.

Hospitality experts can package their repeatable expertise into AI Skills and offer them commercially. With inHotel, these Skills can be distributed through a marketplace model where the Skill owner retains the majority of recurring revenue after hosting and support costs. This allows consultants to scale their impact beyond one-to-one engagements.

Yes. With inHotel’s Advanced Prompt Skills, your prompt is packaged as a protected Skill. Customers use the output, not the underlying prompt. Variables allow customization per customer, role, or context, while your intellectual property remains hidden and controlled. This enables monetization without copy pasting, sharing documents, or exposing your logic.

Yes. Hospitality experts can build agentic workflows and distribute them through inHotel. Skill investors can develop workflows themselves or work with inHotel on product design and AI engineering. Each Skill is guided toward delivering at least a 10× ROI for customers, ensuring clear value. When a Skill is sold, hosting and support costs are deducted from the gross subscription price, starting at €20 per month for workflow-based Skills and capped at 20% of the price. From the remaining net revenue, inHotel takes a 20% platform share, while the Skill owner retains 80%. inHotel also lists, distributes, and actively promotes the Skill, helping creators reach a broad hospitality audience without building their own sales channel.

Deep AI expertise is not required from the hotelier or investor. inHotel provides product design and AI engineering support to turn operational expertise into production-ready Skills. Hospitality experts contribute domain knowledge, while the technical build, orchestration, and lifecycle management are handled by experienced specialists.

Yes. inHotel does not impose exclusivity or vendor lock-in. When you fund a Skill, you own the resulting code, prompts, workflows, knowledge base, and documentation. This means you are free to host and run the agentic Skill package on other platforms as well. Keep in mind that different agentic platforms have their own technical and operational specifics, so some adaptation may be required to fit their execution model. This ownership-first approach ensures flexibility and protects your investment while still allowing you to benefit from distribution and monetization through inHotel if you choose.

Yes. Agentic Skills are designed to adapt to each operation where they are used. A Skill can include variables that customize execution based on organization-specific knowledge, such as business objectives, brand positioning, or operating constraints. When an AI assistant runs the Skill, it automatically uses the customer’s internal knowledge base and connected systems as its tools, for example their CRM or PMS. For workflow-based Skills, each organization can also adjust the SOP by adding, removing, or reordering steps. Your Skill serves as a golden standard defined by a subject matter expert, while remaining highly configurable to local needs and realities.

inHotel aligns with the open Agent Skills standard released by Anthropic and published at https://agentskills.io/. Skills can be imported and exported in the open format, ensuring interoperability. On top of the open Skill specification, inHotel adds organization- and assistant-level variables, a hospitality industry knowledge base, a Skill distribution mechanism for industry experts, enterprise access control, and a managed agentic hosting platform that enables reliable execution. This means Skill publishers benefit from an open foundation while gaining the operational, commercial, and governance layers required for real-world hospitality deployment.

Not necessarily. inHotel’s API Tool Connector is designed to reduce or eliminate bespoke engineering for each PMS, RMS, CRM, POS, or other connected system. Instead of building custom integrations per vendor, the connector serves as a unified middleware layer that transforms OpenAPI-compatible services into standardized, agent-ready tools. It abstracts complex API schemas into structured actions agents can reliably use, while centrally managing authentication (OAuth2, API keys, token refresh) to ensure security without embedding credentials in agent logic. Because integrations are normalized at the connector level, Skills are shielded from most underlying API changes, reducing maintenance effort. Agents can securely retrieve real-time data and execute live actions across multiple connected systems within the same assistant, enabling scalable, cross-platform workflows without separate engineering projects for each integration.