Applied AI / Messaging
1 min readAI CRM: local intelligence, inside the conversation
68% of client chats handled without paid LLM APIs
A WhatsApp CRM agent connecting Laravel and local Ollama models to keep client conversations moving around the clock.
- My contribution
- Laravel integration & AI automation
- Scope
- CRM conversations and local model inference
- Stack
- Laravel / Ollama / WhatsApp API
01 /The problem
Client conversations needed support beyond office hours. A useful agent had to work inside the existing WhatsApp and Laravel CRM flow, while keeping recurring model costs under control.
02 /What shipped
The WhatsApp API connects client messages to the Laravel application. Laravel orchestrates the CRM workflow and calls a local model through Ollama to generate replies.
Using local inference removes the per-message charge from a paid LLM API. The agent stays part of the production CRM rather than becoming a separate tool for staff to manage.
03 /Result
The agent handled 68% of client chats without paid LLM APIs, with replies available 24/7. The result combines the application backend, a messaging integration, and local inference in one operational workflow.
The takeaway
Put intelligence inside the tools clients already use.