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GETBUSAL

BUILDING AN AI-POWERED BUSINESS OPERATING SYSTEM

GetBUSAL is a multi-tenant SaaS platform designed to unify business operations, customer interactions and AI-powered intelligence into one workspace.

getbusal.com

Project type
SaaS / AI Business Operations Platform
Primary test business
Haadia Cafe
ROVIK role
Product Architecture, Full-Stack Development, QA, AI Workflow Design & Product Engineering
Positioning
An AI-powered business operating system that connects customer intelligence with day-to-day business operations.

← All work

Executive overview

What was wrong, what ROVIK did, and what changed — then implementation, validation, and technology in the sections below.

01

Challenge

Businesses often operate across disconnected systems — customer interactions, orders, menus, and operational data spread across channels and tools.

  • Fragmented customer information across channels
  • Disconnected operations between orders, menus, and tables
  • Limited unified intelligence from available data

02

Approach

GetBUSAL is designed as a unified business operating layer connecting customer identity, conversations, transactions, operations, and AI context.

  • Multi-tenant SaaS architecture with business isolation
  • Unified conversations and customer intelligence
  • AI Business Brain connected to operational context

03

Outcome

A multi-tenant AI-powered business operating system connecting operations, customer identity, conversations, orders, and intelligence — under active production hardening.

  • Restaurant operations: POS, orders, tables, kitchen, menu
  • Customer intelligence and AI memory architecture
  • Production engineering across web, data, and deployment stack

CONTEXT & CONSTRAINTS

BUSINESSES OPERATE ACROSS DISCONNECTED SYSTEMS.

Businesses often operate across disconnected systems. Customer interactions, orders, menus, tables and operational information can remain separate — limiting intelligence and increasing manual work.

  • Fragmented customer information

    Customers may interact with a business through several channels while those interactions remain separate.

  • Disconnected operations

    Orders, customers, menus, tables and operational information can exist in different systems.

  • Limited business intelligence

    Businesses may have data available without a unified way to turn it into useful operational insight.

  • Repetitive manual work

    Staff repeatedly perform tasks that could potentially be automated or assisted by software and AI.

IMPLEMENTATION

ONE OPERATING LAYER.

BUSAL is designed around a unified business operating layer connecting business data, customer identity, conversations, transactions, operations and AI.

PRODUCT SYSTEM

FROM OPERATIONS TO INTELLIGENCE.

The documented product architecture spans business management, catalogue, restaurant operations, ordering, customer intelligence, unified conversations, AI context and platform control.

01

Business management

  • Business profile
  • Branches
  • Business settings
  • Branding
  • Operating hours

02

Menu / catalogue

  • Products
  • Categories
  • Product pricing
  • Product availability
  • Modifier groups
  • Modifier options

03

Restaurant operations

  • POS
  • Tables
  • Reservations
  • Kitchen workflows
  • Inventory

04

Ordering

  • Menu browsing
  • Category filtering
  • Product selection
  • Modifier selection
  • Quantity management
  • Cart management
  • Dine-in
  • Takeaway
  • Customer information
  • Order notes
  • Table selection
  • Kitchen submission workflow

05

QR ordering foundation

  • Restaurant Table → QR Code → Customer Menu → Product → Modifier → Cart → Order

06

Customer intelligence

  • Channel-specific identities
  • Unified customer identity
  • Conversations
  • Interactions
  • Orders
  • Customer-specific AI memory
  • Business relationship history

07

Unified conversations

  • WhatsApp
  • Instagram
  • Facebook
  • Website
  • Email
  • TikTok
  • into a unified customer context

08

AI business brain

  • Business profile
  • Products
  • Services
  • Branches
  • Operating hours
  • Customers
  • Orders
  • Conversations
  • Business rules
  • Operational data

09

AI customer memory

  • Identity
  • Conversations
  • Orders
  • Preferences / history
  • AI memory

10

Multi-tenant SaaS

  • Isolated businesses
  • Branches
  • Customers
  • Orders
  • Operations

11

White-label direction

  • Logo
  • Cover image
  • Favicon
  • Brand colours
  • Theme configuration

12

Control centre

  • Platform-level control separate from business dashboard
  • Cached safe platform metrics
  • Parallel loading
  • Suspense-based rendering
  • Reduced duplicate context resolution
  • Bounded performance-log queries

RESTAURANT OPERATIONS

FROM MENU TO KITCHEN.

Restaurant workflows are exercised in a documented test environment covering configuration through kitchen submission.

Primary test business / Haadia Cafe

  • Business configuration
  • Branches
  • Menu
  • Products
  • Modifiers
  • POS
  • Orders
  • Tables
  • Kitchen workflow

Full English Breakfast — £12.95 (documented test environment example)

CUSTOMER INTELLIGENCE

ONE CUSTOMER. ONE CONTEXT.

BUSAL is designed to prevent customers becoming disconnected records across communication channels.

AI BUSINESS BRAIN

AI WITH BUSINESS CONTEXT.

The Business Brain is designed to give AI structured business context rather than isolated prompts.

ENGINEERING

REAL SYSTEMS. REAL CONSTRAINTS.

This product was engineered through architecture, implementation, production testing, failure discovery and hardening — not as a visual prototype alone.

  1. 01Evolving data models

    BUSAL contains newer canonical models and legacy operational structures. Implementation required bridges between systems rather than destroying existing functionality.

  2. 02Tenant isolation

    Business operations need to remain scoped to Business → Branch → Customer → Order → Resource.

  3. 03Production storage

    Branding uploads initially worked at application level but did not persist correctly through deployment storage. The architecture was moved toward persistent Supabase-backed storage and tenant-aware file delivery.

  4. 04POS / OMS integration

    POS interacts with order sessions, OMS, tables, kitchen, cart state, modifiers and customer information. Testing exposed transaction and state-consistency problems requiring deeper architectural investigation.

  5. 05Performance

    The authenticated operational dashboard has substantially different workloads from a public landing page — authentication, business context resolution, permissions, feature flags and operational data loading.

QA / RELIABILITY

VERIFY THE SYSTEM. NOT JUST THE SCREEN.

BUSAL has been developed and tested as a real application. Documented testing spans production verification, data inspection and cross-module workflows.

  • Production
  • Database
  • API / Health
  • Auth
  • POS
  • Menus
  • Modifiers
  • Tables
  • Orders
  • Kitchen
  • Cross-module
  • Automation
  • Deployment
Do not assume a feature works because the UI looks correct. Verify the underlying state and workflow.

TECHNOLOGY

THE STACK BEHIND THE SYSTEM.

Application
Next.js · React · TypeScript
Database / backend
PostgreSQL · Prisma · Supabase
Deployment
Vercel
Testing
Focused automated tests · ESLint · Prettier · Production smoke testing
AI architecture
AI provider/runtime architecture · Business-context layer · Customer-scoped AI memory · Business Brain architecture

PRODUCT EVOLUTION

FROM ARCHITECTURE TO HARDENING.

BUSAL is being engineered as a production-stage SaaS platform under active development and hardening.

Complex POS → OMS → Kitchen workflows are still being hardened.

Production-stage SaaS platform under active development and hardening.

DELIVERY & EVIDENCE

AN OPERATING SYSTEM FOR MODERN BUSINESSES.

GetBUSAL is being built as a multi-tenant AI-powered business operating system connecting business operations, customer identity, conversations, orders and AI intelligence.

  • Multi-tenant SaaS

    Business-isolated architecture

  • AI Business Brain

    Context-aware AI architecture

  • Restaurant operations

    POS · Orders · Tables · Kitchen · Menu

  • Customer intelligence

    Unified identity · Conversations · AI memory

  • Production engineering

    Next.js · TypeScript · PostgreSQL · Prisma · Supabase · Vercel

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