Restaurant AI Wrapper Voice agent Platform Design
Budget: $250 – $750 AUD
I’m building a B2B wrapper that layers restaurant-specific functionality on top of ElevenLabs and Bland AI, and I need a seasoned technical consultant to map out the core architecture. The platform has to support automated order taking, customer-feedback analysis, and reservation management, all delivered through a multi-tenant setup so each restaurant (and the partners who may white-label the product) live in their own secure space.
The scope includes:
• Creating the model and provide the full solution
- A high-level and component-level architecture showing how we’ll stitch the AI providers, usage-based billing, and a role-based auth system together.
• Data model and tenancy strategy that let us isolate restaurant data yet still apply global updates painlessly.
• A plan for a custom dashboard that surfaces order statistics, customer-feedback trends, and reservation metrics outside the native ElevenLabs/Bland environments.
• A billing flow that marks up AI provider costs while tracking per-restaurant usage for invoicing.
I’ll want architecture diagrams (Lucidchart, Draw.io, or your preferred tool), a brief session walking me through tech-stack trade-offs.
If you’ve designed SaaS multi-tenant products, worked with conversational AI APIs, and tackled POS integrations in the past, your guidance will be invaluable. Let me know your approach and any similar projects you can share.
I am looking to start the project with a basic model and then enter into an agreement with the selected candidate to integrate new customer (API POS integration) as we grow
The scope includes:
• Creating the model and provide the full solution
- A high-level and component-level architecture showing how we’ll stitch the AI providers, usage-based billing, and a role-based auth system together.
• Data model and tenancy strategy that let us isolate restaurant data yet still apply global updates painlessly.
• A plan for a custom dashboard that surfaces order statistics, customer-feedback trends, and reservation metrics outside the native ElevenLabs/Bland environments.
• A billing flow that marks up AI provider costs while tracking per-restaurant usage for invoicing.
I’ll want architecture diagrams (Lucidchart, Draw.io, or your preferred tool), a brief session walking me through tech-stack trade-offs.
If you’ve designed SaaS multi-tenant products, worked with conversational AI APIs, and tackled POS integrations in the past, your guidance will be invaluable. Let me know your approach and any similar projects you can share.
I am looking to start the project with a basic model and then enter into an agreement with the selected candidate to integrate new customer (API POS integration) as we grow
Related categories:
User Interface / IA
API Integration
Architecture
SaaS
ElevenLabs
AI Model Integration
Bland AI