I want to replace the repetitive parts of my workflow with reliable, production-ready AI. The priority is task automation—specifically streamlining customer support and eliminating manual data entry. For customer support, the goal is to let users receive instant, accurate answers without human intervention while still handing off complex issues to my team when necessary. On the data-entry side, I need structured information captured, validated, and pushed into our existing database or CRM automatically so staff no longer copy-paste or retype data. You will be responsible for the entire life-cycle: scoping the approach, selecting or training the appropriate natural-language or machine-learning models, integrating them with our current tech stack via API, and monitoring performance after launch. I expect clean, well-documented code (Python is preferred, but I’m open), unit tests, and clear guidance on hosting options. Deliverables: • Working automation for customer-support queries tied into my website/CRM • Data-entry pipeline that ingests raw input and writes structured records to our database • Deployment scripts or Docker images plus setup instructions • Short hand-over call and documentation covering architecture, model choice, and maintenance I value engineers who can demonstrate previous NLP, RPA, or chatbot projects and who are comfortable iterating quickly as we measure real-world performance. Let’s discuss any questions and lock in a timeline that gets these automations live as soon as possible.