Rakez ERP: Engineering an AI-Enabled Real-Estate Operating Platform
How a production-style ERP stays coherent when sales, inventory, reservations, contracts, finance, credit, marketing attribution, permissions, and AI-assisted workflows share the same business state.
Client
Hexa Terminal
Project type
Custom ERP & CRM Systems
Related system
Rakez ERP
The operational situation that made the project necessary.
The context and the problem are shown together so the reason for the build is immediately clear.
Rakez spans a commercial core, financial control, and operational support. Leads become opportunities, units move through reservation and sale states, approved contracts affect commissions and claims, and synchronized provider data affects CRM and marketing analytics.
Problem
The difficult part was not creating more modules; it was keeping downstream domains consistent when one event crosses several of them.
How the product and system response were structured.
The product experience and the technical response are treated as one connected delivery.
Model the operation as explicit state transitions with shared domain rules. Keep permissions and data scope in the backend, preserve historical snapshots where policy can change, normalize external provider evidence before attribution, and let AI assist only through registered application tools.
What the delivered solution covers.
A compact scan of the functional areas that support the business need.
Capability 1
Commercial core
Capability 2
Financial control
Capability 3
Operational support
Capability 4
Provider synchronization
Capability 5
Authorization boundaries
Capability 6
Guarded AI
What the solution is designed to make possible.
Operational value and public proof appear together, without stretching beyond what the record supports.
- The system provides a single operational model across commercial, financial, marketing, and support workflows, with automated regression coverage around critical business rules.
Evidence
- The public-safe case-study package documents the cross-domain map and dependencies. Repository verification material also records a large automated test suite and granular permission model; numerical snapshots are treated as inspected-code evidence rather than business-performance claims.
Where this case study sits in the broader delivery context.
Useful connections for the same service, system, or industry context.