HospitalityAI implementation case study

Hospitality – Business Hotel Group (12 Properties): Group Sales & Event AI

AI for RFP parsing, space availability, catering package generation, BEO automation, and billing reconciliation.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

PrimeAxiom automated group sales and event execution from RFP to final invoice with AI agents bridging sales and ops.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: business hotels. Complexity: conference-heavy mix.

02 · Challenge

Core problem

Manual RFP, BEO chaos, billing leakage.

03 · Approach

Solution

PrimeAxiom built group sales AI: RFP extraction, room-block optimization, catering package agents, BEO sync to ops, and post-event billing reconciliation.

04 · Impact

Results

RFP response time −46%; BEO error rate −82%; banquet revenue leakage −29%; sales coordinator hours −53%.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

RFP Agent, Space Agent, Catering Agent, BEO Agent, Billing Agent.

Workflow

How the automation runs

1. RFP arrives. 2. AI extracts requirements. 3. Availability checked. 4. Packages priced. 5. BEO generated. 6. Ops executes. 7. Reconcile actuals.

Intelligence layer

AI agents and decision logic

Parse Agent, Ops Agent, Recon Agent.

Under the hood

Technical architecture

Event graph, inventory sync, LLM for RFP nuance.

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