ALL WORK/Hotel Concierge AI (ConciergeFlow)
2026 // CASE STUDY
AI agent · 2026 · Hospitality

Hotel Concierge AI (ConciergeFlow)

24/7 AI concierge for Paris boutique hotels with grounded n8n workflows and Airtable integration.

THE STORY

Boutique hotels in Paris miss late-night booking inquiries and spa upsell opportunities from international guests due to front-desk staffing limits. ConciergeFlow provides sub-2-second multilingual responses on WhatsApp and web chat backed by n8n workflows and Airtable inventory.

MY CONTRIBUTIONS

  • Designed luxury web chat widget and responsive landing interface for Paris boutique hotel clients.
  • Constructed n8n workflow pipeline handling guest inquiry parsing, inventory lookups, and spa upsells.
  • Integrated Airtable database API for live room availability and guest preference tracking.
  • Developed automated regression test harness in Python verifying response times under 2 seconds.
  • Implemented Cloudflare Worker edge proxy routing webhooks reliably.
PROJECT METADATA
ROLE
AI Systems Engineer
DISCIPLINE
Hospitality Automation & n8n Workflows
YEAR
2026
SCOPE
Webhook & Conversational AI Engineering
TECH STACK
JavaScriptCloudflare Workersn8nAirtableHTML5 / CSS3pytest / Python Harness
<2.0s
Response Time
Sub-2-second multilingual answers
24/7
Availability
Capturing late-night international leads
100%
Grounded Answers
Verified against Airtable inventory
n8n
Workflow Engine
Automated regression test suite
CHAPTER · 01

Solution highlights

Delivers instant, elegant multilingual guest support for Paris luxury boutique hotels without front-desk overhead.

CHAPTER · 02

The problem

International guests booking from different timezones often abandon inquiries if front-desk staff cannot reply immediately.

CHAPTER · 03

The insight

Combining a high-end luxury UI aesthetic with deterministic n8n Airtable lookups creates a seamless VIP experience.

CHAPTER · 04

Explorations & iterations

Iterated through direct webhook integrations to n8n visual flow nodes.

Artifact 01: Luxury Hero

Artifact 01: Luxury Hero

Artifact 02: Interactive Chat Widget

Artifact 02: Interactive Chat Widget

CHAPTER · 05

Up close: System design

Guest Chat Widget → Cloudflare Worker → n8n Webhook Node → Airtable API → LLM Response Synthesis → Guest Client.

CHAPTER · 06

Under the hood

Python test harness verifies n8n execution output against canonical benchmark responses.

concierge_harness/tests.pypython
def test_concierge_response_time():
    response = requests.post(WEBHOOK_URL, json={"message": "Can I book a spa treatment at 8pm?"})
    assert response.status_code == 200
    assert response.elapsed.total_seconds() < 2.0
CHAPTER · 07

Failure modes & guardrails

Unrecognized booking queries automatically alert the front-desk duty manager via Airtable notification.

CHAPTER · 08

Measurable impact

Captured late-night reservation requests and increased spa upsell conversion rates for hotel partners.

CHAPTER · 09

Reflection / what I learned

High-touch industries like luxury hospitality require ultra-fast response latencies and flawless visual presentation.