Comprehensive full AI Agentic trained Agent Team Setup
Budget / Salary250–750 SGD
TypeFreelance project
LocationRemote
Posted1 hour ago
I need my entire business—sales, marketing, customer support, operations, call-centre activities, even basic accounting—to be driven by a coordinated suite of AI agents. The goal is not a handful of isolated chatbots, but a fully integrated “digital staff” that can talk to each other, plug into our existing tools, and pick up real workload from day one.
Scope of work
• Sales agents that handle lead generation, schedule follow-ups, and push deals over the line, feeding everything back into our CRM.
• Marketing agents that draft and schedule social posts, run segmented email campaigns, and suggest or create content pieces in line with our brand voice.
• Customer-support and call-centre agents able to field live chat or voice interactions, escalate issues when needed, and keep ticket data tidy.
• Operational and accounting agents to automate routine reconciliation, reporting, and internal task routing.
Tech stack is flexible as long as it is production-ready—OpenAI / GPT-4, LangChain, AutoGPT, Rasa, Zapier, custom Python micro-services, or anything comparable that achieves autonomous, API-driven workflows. Security, data-privacy best practice, and maintainability must be baked in.
Deliverables
1. Architecture blueprint mapping every agent to its data sources, APIs, and performance KPIs.
2. Proof-of-concept agents for each department, demoed in a live environment.
3. Roll-out plan and documentation so my in-house team can monitor and fine-tune after launch.
Acceptance criteria: each POC agent must complete at least one real task from its department without human intervention and log the result back to our central dashboard.
If you have demonstrable experience shipping end-to-end agentic systems (not just chatbot mock-ups), let’s talk timelines and milestones.
Scope of work
• Sales agents that handle lead generation, schedule follow-ups, and push deals over the line, feeding everything back into our CRM.
• Marketing agents that draft and schedule social posts, run segmented email campaigns, and suggest or create content pieces in line with our brand voice.
• Customer-support and call-centre agents able to field live chat or voice interactions, escalate issues when needed, and keep ticket data tidy.
• Operational and accounting agents to automate routine reconciliation, reporting, and internal task routing.
Tech stack is flexible as long as it is production-ready—OpenAI / GPT-4, LangChain, AutoGPT, Rasa, Zapier, custom Python micro-services, or anything comparable that achieves autonomous, API-driven workflows. Security, data-privacy best practice, and maintainability must be baked in.
Deliverables
1. Architecture blueprint mapping every agent to its data sources, APIs, and performance KPIs.
2. Proof-of-concept agents for each department, demoed in a live environment.
3. Roll-out plan and documentation so my in-house team can monitor and fine-tune after launch.
Acceptance criteria: each POC agent must complete at least one real task from its department without human intervention and log the result back to our central dashboard.
If you have demonstrable experience shipping end-to-end agentic systems (not just chatbot mock-ups), let’s talk timelines and milestones.
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