AI Customer Service Agent Automation
Budget: ₹1,500 – ₹12,500 INR
I want to take routine customer enquiries off my plate by deploying a single AI-powered agent that can speak with clients on three fronts—email, my brand’s social-media inboxes, and the live-chat widget on our website. The agent must read and understand incoming messages, draft useful replies that match our tone, and smoothly pass any edge-case or high-priority thread to a human rep without losing context.
Ideal build relies on modern NLP frameworks such as GPT-4, Dialogflow, Rasa, or a comparable stack, with API hooks into Gmail/Outlook, Meta or X social channels, and whatever chat solution you prefer (Tawk.to, Intercom, or a bespoke widget). Training data—FAQs, past tickets, knowledge-base articles—will be provided.
Deliverables
• Fully configured conversational model connected to email, social media, and website chat
• Escalation logic plus hand-off interface for my support staff
• Admin dashboard or logs so I can audit conversations and tweak intents
• Deployment walkthrough and short documentation package
Acceptance criteria
– First-response time under two seconds on any channel
– ≥90 % intent-classification accuracy across a blind test set of real queries
– Seamless hand-off retaining full conversation history when a human takes over
Once the solution meets the above marks in staging, we’ll move to production together.
Ideal build relies on modern NLP frameworks such as GPT-4, Dialogflow, Rasa, or a comparable stack, with API hooks into Gmail/Outlook, Meta or X social channels, and whatever chat solution you prefer (Tawk.to, Intercom, or a bespoke widget). Training data—FAQs, past tickets, knowledge-base articles—will be provided.
Deliverables
• Fully configured conversational model connected to email, social media, and website chat
• Escalation logic plus hand-off interface for my support staff
• Admin dashboard or logs so I can audit conversations and tweak intents
• Deployment walkthrough and short documentation package
Acceptance criteria
– First-response time under two seconds on any channel
– ≥90 % intent-classification accuracy across a blind test set of real queries
– Seamless hand-off retaining full conversation history when a human takes over
Once the solution meets the above marks in staging, we’ll move to production together.