All transformation work
Dossier 01 · Transformation Brief Casino & Hospitality Group

Guest Experience Automation Architecture

A complaint-resolution operating system that classifies, acknowledges and routes guest issues across 3 properties and 9 divisions, and for the first time, stops marketing from reaching guests with open cases.

4h → 2m
Acknowledgement time
−70%
Manual data entry
11
Workflows activated
3 · 9
Properties · divisions

01 · The Problem

6 channels, one manual queue, no commercial visibility

Complaints arrived through 6 channels into a single manual process with no commercial visibility. Guests waited hours for acknowledgement. Division handoffs lost track of cases as they moved between teams.

The most expensive failure was invisible: marketing campaigns kept reaching guests who had open, unresolved complaints, spending acquisition budget to irritate the exact people the business was failing.

02 · Failure Patterns

The recurring breakdowns

P1
Channel fragmentation

Email, web, phone, kiosk, social and front-desk all fed one inbox with no shared structure.

P2
Handoff loss

Cases moving between 9 divisions had no system of record, so ownership and context evaporated.

P3
No SLA visibility

Nobody could see which guests were waiting, for how long, or whether anything had been promised.

P4
Marketing collisions

CRM and campaign platforms never spoke, so promotions reached guests mid-complaint.

03 · Architecture

An 11-workflow resolution system

Intake
6 channels
AI Layer
Classify & triage
Guest
Acknowledge < 2 min
Routing
Division & SLA
Bridge
CRM ⇄ Campaign suppression

Fig. 01 · Complaint flows from any of 6 channels through AI classification into acknowledgement, division routing and the suppression bridge that connects CRM and campaign platforms for the first time.

04 · Workflow Maps

From a manual queue to an engineered path

Before · manual
  1. Complaint lands in a shared inbox
  2. Someone reads it, eventually
  3. Forwarded to a division by guess
  4. Context re-typed at each handoff
  5. No acknowledgement to the guest
  6. Marketing keeps emailing them
After · engineered
  1. Captured & normalised at intake
  2. AI classifies severity and division
  3. Guest acknowledged in under 2 minutes
  4. Routed with full context & an SLA clock
  5. Case written to the system of record
  6. Suppression bridge pauses campaigns

05 · Business Outcomes

What changed

< 2 min
Guest acknowledgement, down from over 4 hours
Across all 6 intake channels
−70%
Reduction in manual data entry across the resolution process
Re-keying eliminated at every handoff
Live
Recovered guests now form a re-engagement segment
A new commercial asset, not a cost

06 · Transformation Timeline

How it was delivered

Phase 01
Map the real flow

Traced every channel and handoff across 9 divisions to find where cases actually broke.

Phase 02
Design the gates

Defined classification, acknowledgement and SLA rules, and where a human must stay in the loop.

Phase 03
Build the bridge

Connected CRM and campaign platforms through a suppression layer that had never existed.

Phase 04
Run & tune

Deployed across 3 properties, monitored SLAs live, and refined classification in production.

07 · Executive Commentary

"The platforms were never the problem. The complaint sat in the gaps between them, between channels, between divisions, between CRM and campaign. The work was engineering those gaps shut."

Satya Upadhyaya · Transformation Architect

Your most expensive failure is probably sitting between 2 systems

If complaints, leads or campaigns are breaking in the handoffs between platforms, that is an operational architecture problem, and it is the kind of problem worth a conversation.