AI Workflow Automation Suite
Budget: $250 – $750 USD
I’m ready to weave AI into three pillars of my daily operations—data processing, customer support, and marketing—through one coherent, well-documented automation chain.
Data processing: I have recurring datasets arriving from multiple sources. I’d like a pipeline that ingests them automatically, applies the appropriate transformations, and exports clean, analysis-ready outputs without manual intervention.
Customer support: Incoming emails and chat messages need instant triage, intent recognition, and, where appropriate, an AI-drafted response that my team can approve or send automatically. A light dashboard to monitor performance and hand-off edge cases would be ideal.
Marketing automation: I want to trigger personalised campaigns based on user behaviour, score leads, and generate concise performance summaries so I can adjust strategy in real time.
I’m flexible on the underlying stack—Python, Node, LangChain, Zapier, or comparable frameworks—as long as the solution is modular, maintainable, and easy for a non-developer to tweak later. If you have existing components that can accelerate delivery, even better.
Deliverables (discrete):
• Working codebase for each automation chain
• Clear README / setup guide
• Short loom or screen-share walkthrough demonstrating the flows end-to-end
Acceptance criteria: each chain completes its task on sample data with no manual steps, logs key events, and exposes a simple interface (CLI, web hook, or UI) for me to trigger or schedule runs.
If you’ve built similar multi-domain AI workflows before, show me a quick example and let’s get started.
Data processing: I have recurring datasets arriving from multiple sources. I’d like a pipeline that ingests them automatically, applies the appropriate transformations, and exports clean, analysis-ready outputs without manual intervention.
Customer support: Incoming emails and chat messages need instant triage, intent recognition, and, where appropriate, an AI-drafted response that my team can approve or send automatically. A light dashboard to monitor performance and hand-off edge cases would be ideal.
Marketing automation: I want to trigger personalised campaigns based on user behaviour, score leads, and generate concise performance summaries so I can adjust strategy in real time.
I’m flexible on the underlying stack—Python, Node, LangChain, Zapier, or comparable frameworks—as long as the solution is modular, maintainable, and easy for a non-developer to tweak later. If you have existing components that can accelerate delivery, even better.
Deliverables (discrete):
• Working codebase for each automation chain
• Clear README / setup guide
• Short loom or screen-share walkthrough demonstrating the flows end-to-end
Acceptance criteria: each chain completes its task on sample data with no manual steps, logs key events, and exposes a simple interface (CLI, web hook, or UI) for me to trigger or schedule runs.
If you’ve built similar multi-domain AI workflows before, show me a quick example and let’s get started.