AI Product Development
AI Business Assistant
Designing a grounded conversational layer across existing business systems.
Problem
Business owners using our platforms had the data they needed, but finding an answer meant navigating multiple dashboards and reports — slow, and not accessible to less technical staff.
Approach
We designed a retrieval-augmented architecture that grounds AI responses in connected business data, with a provider-agnostic model layer and a clearly labeled fallback mode when no AI provider is configured.
Solution
A conversational assistant now sits across connected business systems, answering questions and triggering routine actions in plain language, by text or voice.
Architecture
- Python services for retrieval and orchestration
- Retrieval-augmented generation grounded in connected business data
- Provider-agnostic model layer with a documented demo fallback
Technology
PythonLLMsRAG
Outcome
- Faster access to business answers without navigating multiple dashboards
- A conversational interface accessible to non-technical staff
- A reusable AI architecture extendable to future products
Ready to build something intelligent?
Tell us what you're building and let's turn the idea into a scalable digital product.