How it works
- 01
Company data
processes, documents, channels
- 02
Company model
25+ business domains
- 03
AI analysis
goals, risks, capacity
- 04
Suggested approach
a person confirms
- Multi-tenant SaaS
- AI integration
- 25+ business domains
AI-ready company platform with a digital twin
A multi-tenant Laravel platform that brings each company's strategy, processes, projects, finance and communication into one model that AI can work with.
- One shared data model per company
- 25+ business domains, each a vertical slice
- AI drafts processes, reads contracts and plans projects
- AI suggests, a person confirms, then the system writes
- DDD
- Vertical slices
- pgvector search
- Provider-agnostic AI
- Laravel 12
- Vue 3
Read the full case study
The challenge
Most companies run on a patchwork of separate tools for customers, projects, finance, documents, email and chat. Knowledge ends up split between them, so neither the team nor AI can see how strategy, processes, projects and data connect.
The solution
I built a multi-tenant Laravel platform that works as a digital twin of each company. Strategy, organization, processes, projects, partners, finance, procurement, documents and communication live in one application on one shared data model, organized into 25+ business domains. AI is built into the modules as an assistant and sparring partner: it drafts BPMN processes from interviews, extracts fields and risks from contracts and receipts, plans projects, and searches across every module by meaning. When a user describes a new process or user journey, the platform:
- Considers existing processes and their dependencies
- Takes strategic goals and direction into account
- Shows opportunities that match the company's strengths
- Flags risks based on known weaknesses
- Checks available resources and capacity
- Suggests the best approach
Built to be trusted
AI suggests, a person confirms, and only then does the system write. AI can write only in modules on an explicit allowlist, prompts pass through a PII filter, and every AI call is logged with its cost.
The result
Each company's strategy, work and knowledge sit in one place instead of separate tools, and AI works from that full picture. Because every domain is its own slice, new modules are added without touching existing ones.