I want to deploy an AI-driven agent that can sit in front of my existing customer service channels and handle routine queries end-to-end. The core goal is to automate as much first-line support as possible—answering common questions, processing simple orders, and triaging or escalating more complex issues—while maintaining the friendly tone my brand is known for. You will be free to choose the NLP engine and stack you’re most comfortable with (GPT-4, Dialogflow, Rasa, or a custom Python/Node solution are all fine) as long as the final agent can be exposed through a clean REST or GraphQL layer. I’m equally open to deploying on my website, inside our mobile app, or even across social channels; the architecture just needs to make multichannel rollout straightforward. To keep us aligned, here are the concrete deliverables I need: • A fully trained conversational model that reflects the knowledge base I’ll provide • Integration code and documentation for embedding the agent in at least one live environment • A short hand-off guide covering further training, analytics, and fall-back escalation flows Please outline your proposed approach, preferred tools, and an estimated timeline so we can move straight into implementation.