I help hotels, resorts and hospitality groups turn operational friction into AI-enabled systems for guest experience, revenue, housekeeping, maintenance and executive control.
18+ years building technology infrastructure, networks, automation and real operating businesses across Argentina, Chile and Italy.
An AI Operations Architect designs the systems that make AI usable in real hospitality conditions — not demos. The role sits between IT infrastructure, front-of-house, housekeeping, revenue, F&B and executive control, turning fragmented property data into agentic workflows, automated work orders, dynamic pricing signals and live management dashboards. This page is for owners and operators of hotels, resorts and hospitality groups who need digital transformation that survives a real season.
Reference: McKinsey · Generative AI in travel & hospitalityHotels and resorts are moving from disconnected pilots to agentic workflows, digital operations and measurable automation. The winners will not be the properties with the most tools. They will be the operators who redesign guest experience, revenue, housekeeping, maintenance and management visibility around reliable data flows.
Guest experience is fragmented across PMS, OTA and chat
Housekeeping data rarely reaches the right person on time
Revenue decisions still rely on manual rate checks
IT infrastructure decides whether AI can actually work on property
Owners need live operational visibility, not month-end reports
Scroll to move horizontally through five operating zones.
Bookings, requests, complaints and reviews are scattered across PMS, OTAs, WhatsApp, email and front desk notes.
Unified guest profile, smart messaging, request workflows, escalation, signed closeout and reputation feedback loop.
Room status, repairs and inspections live on paper, walkie-talkies and disconnected apps.
Mobile housekeeping, AI-assisted work orders, asset timeline, preventive plans and priority suggestions.
Rates, channels and availability decisions depend too much on memory, manual checks and late market data.
Demand radar, rate suggestion agent, channel comparison, parity alerts and OTA performance dashboards.
Properties often have unstable WiFi, unclear monitoring, fragmented device ownership and weak segmentation.
Site health monitoring, redundant connectivity, VLAN segmentation, credential control, asset inventory and alerts.
Ownership and management see operational problems after they already became expensive or visible to guests.
Live dashboards for occupancy, ADR, RevPAR, downtime, work orders, costs, energy and compliance.
Most AI profiles do not understand hospitality operations. Most hospitality profiles do not design AI-enabled systems. Jhonatan operates in the middle: infrastructure, electricity, networks, operations, procurement, company building and automation.
Built IT outsourcing before it was common in his market
Built technology retail and services in remote Patagonia
Built infrastructure and connectivity for properties in difficult logistics
Built DITAP as enterprise technology infrastructure and automation
Builds SaaS, dashboards, workflows and AI agents from operational problems
Map friction across departments, stakeholders, systems, current processes, data and risks on one property.
Select one pilot. Define workflow, users, data, KPIs (RevPAR, ADR, NPS, OOS rooms), controls and success conditions.
Implement one workflow: smart messaging, housekeeping, work orders, rate agent, OTA radar or property health monitor.
Run with real staff and guests, capture exceptions, measure adoption and fix what breaks during a real shift.
Executive pack with measured value, cost, risk, rollout plan across properties and scale/no-scale decision.
Hospitality AI breaks the moment WiFi drops, cameras go offline or power is unstable. These are real installations from properties and remote sites I've operated: rack rooms, power protection, IP surveillance and Starlink links in places where regular ISPs don't reach.
IT outsourcing, networks, servers, support.
Electrical infrastructure and field execution.
Infrastructure and connectivity in Patagonia.
1,200+ SKUs, procurement, technical advisory, operations.
Enterprise infrastructure, managed services, security, automation.
Connectivity intelligence platform.
No. The first step is a controlled diagnostic and one measurable pilot on one property.
No. The first phase scores data readiness and chooses a pilot that can work with your existing PMS and tools.
No. It is about reducing manual friction, freeing the team for guests and giving managers better systems.
Yes. Integrations are part of the pilot design — we choose workflows that can plug into what you already operate.
Identifying whether there is one operational workflow worth diagnosing in detail.
No generic pitch. We identify one operational bottleneck and decide if a 10-day friction scan makes sense for your property.