AI Multitenant SaaS Management Platform

via Freelancer ·

Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
I’m building a multi-tenant SaaS platform that blends classic business management tools with practical, AI-driven intelligence. The first release will centre on two pillars—Customer Relationship Management and Project Management—so companies can track leads, nurture clients, assign work, and follow progress inside a single workspace.

AI should be woven in from day one. I need automated data analysis that surfaces trends and performance insights without manual digging, plus an embedded chatbot or virtual assistant that can answer user questions, guide them through workflows, and even trigger common actions. I’m open to using services such as OpenAI, Google Vertex, or a custom ML stack if it keeps cost and latency reasonable.

Because the product will serve multiple organisations, true multi-tenancy is non-negotiable. Each tenant’s data must stay fully isolated while sharing the same codebase and infrastructure. Users will sign up through secure authentication, then operate under strict role-based access control so admins, managers, and regular staff only see what they should.

Key expectations
• Cloud-ready, horizontally scalable architecture (microservices or modular monolith—justify your choice)
• Responsive, modern UI that works across desktop and mobile
• API-first backend with clean documentation for future integrations
• AI layer delivering actionable dashboards and an in-app virtual assistant
• Tenant-aware user auth plus granular roles/permissions
• CI/CD pipeline and deployment scripts (Docker/Kubernetes acceptable)

Deliverables for this engagement
1. Detailed technical architecture & data model
2. Clickable UI/UX prototype for CRM & Project modules
3. Proof-of-concept MVP deployed to a staging cloud, including:
– Working auth/roles with two demo tenants
– Core CRM and Project entities & workflows
– Automated analytics dashboard and functioning chatbot
4. Handover package: source code, environment files, and setup guide

I value clear communication, iterative delivery, and well-commented code. If you have experience shipping multi-tenant SaaS products and integrating real-world AI features, let’s discuss how you’d tackle this build and outline milestones together.
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