Build custom multi-tenant AI Agent platform
Orçamento: -
HOURLY / PART_TIME
⭐ 3.86 (7)
United States
web-application, payment-gateway-integration, python, javascript, api, web-programming, node.js
# AI Voice Agent SaaS Platform (Multi-Tenant) – Full Stack Development
## Project Overview
I am looking for an experienced full-stack developer or small team to build a scalable, secure, multi-tenant AI Voice Agent SaaS platform. The platform will allow businesses to automate inbound and outbound phone communications using AI while providing a centralized dashboard for managing conversations, appointments, automations, knowledge bases, users, and analytics.
This is not a simple chatbot or workflow automation project. I am looking for a production-ready SaaS foundation that can scale to support many businesses across multiple industries.
The initial target market will be appointment-based service businesses (healthcare, home services, automotive, real estate, etc.), but the platform must be designed to be configurable and adaptable to other industries without requiring code changes.
## Core Requirements
### AI Voice Agent
The AI agent must be capable of:
* Answering inbound calls automatically
* Making outbound calls
* Conducting natural, real-time conversations
* Understanding interruptions and multi-turn conversations
* Collecting customer information
* Qualifying leads
* Answering questions using business-specific knowledge bases
* Following business-specific call flows
* Guiding customers through troubleshooting steps
* Booking, rescheduling, and cancelling appointments
* Escalating calls to human staff when required
* Generating call summaries and transcripts
### Appointment Management
The platform must support:
* Real-time calendar availability checks
* Appointment creation, modification, and cancellation
* Prevention of double bookings
* Appointment confirmations
* Reminder workflows
* Time zone support
### Messaging & Notifications
The system must support:
* SMS notifications
* Email notifications
* Appointment reminders
* Follow-up campaigns
* Customer confirmations
* Post-call summaries
### Knowledge Base System
Each business should be able to:
* Upload documents
* Manage FAQs
* Store business information
* Update knowledge without developer involvement
The AI must use only approved business knowledge when answering questions.
## Multi-Tenant SaaS Requirements
The platform must be designed from day one as a true multi-tenant SaaS system.
Each tenant/business must have:
* Isolated customer data
* Isolated knowledge bases
* Isolated workflows
* Isolated phone numbers
* Isolated automations
* Isolated user accounts
The architecture must support onboarding new businesses without requiring code changes or developer intervention.
## Admin Dashboard
The platform must include an administrative dashboard where businesses can:
* View call logs
* Access call recordings
* View transcripts
* Manage appointments
* Manage users and permissions
* Configure AI behavior
* Manage knowledge bases
* Configure automations
* Monitor analytics and performance
## Workflow & Automation Engine
Businesses should be able to configure automations such as:
* Appointment reminders
* Lead follow-ups
* Customer re-engagement campaigns
* Escalation workflows
* Post-call actions
* CRM updates
* Notification workflows
The system should be designed so future workflow customization can be added easily.
## CRM & Customer Data
The platform must:
* Store customer interaction history
* Store conversation history
* Track appointments
* Track leads and lead status
* Log all communications
* Support CRM integration architecture
## Security Requirements
Security is a high priority.
The platform should include:
* Role-based access control
* Authentication and authorization
* Tenant isolation
* Secure storage of customer data
* Secure handling of recordings and transcripts
* Audit logging
* API key and secrets management
## Scalability & Reliability
The architecture should be designed to support:
* Thousands of businesses
* Thousands of simultaneous calls
* Horizontal scaling
* Queue-based processing
* Monitoring and alerting
* Error handling and recovery
* Failover strategies
I do not want a solution that simply glues together third-party APIs. I want a maintainable architecture with proper separation of concerns, scalability planning, monitoring, security, and long-term SaaS growth in mind.
Deliverables
Please provide:
1. Proposed architecture diagram
2. Technology recommendations and rationale
3. Database design approach
4. Multi-tenant strategy
5. Security approach
6. Scalability approach
7. Development phases and timeline
8. Examples of similar projects you have personally built
9. Clear explanation of which components would be custom-built versus third-party services
When applying, please explain how you would architect this platform and how you would support future scaling to 1,000+ businesses and thousands of concurrent calls.
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