I am ready to take our existing CRM, e-commerce store, and email marketing tool to the next level by wiring them together through Zapier and infusing AI at every critical point. The core of the job is to build reliable Zaps that move data seamlessly between the three platforms, eliminate manual entry, and trigger AI-driven actions. Routine record creation, updates, and field mapping should run fully hands-free. The same flows will then branch into customer follow-up sequences, where an AI step drafts context-aware emails before they reach my ESP for sending. Finally, every contact touchpoint should feed back into the CRM so our pipeline stages and deal values stay current without human input. I need both pre-built services (e.g., OpenAI, Google Vertex, Zapier’s own AI steps) and custom logic built in JavaScript or Python code steps. The custom pieces will classify leads, score intent, and decide what copy variant or discount a contact receives, while pre-built models can handle summarisation, sentiment, and language tweaks. The finished automation should be easy for a non-developer to tweak—clear comments inside each code step and sensible naming conventions across Zap folders are essential. Deliverables • Three end-to-end Zapier workflows covering: 1. Data entry & synchronisation across CRM ↔ store ↔ ESP 2. AI-generated follow-up email sequences with dynamic personalisation 3. Automated sales & lead tracking with real-time pipeline updates • Custom code steps (JS/Python) plus documented prompts or model calls for each AI task • A brief loom or written hand-off showing how to maintain and extend the setup Acceptance criteria • Data consistency: Records created/updated within 60 s of source change. • AI email drafts score ≥90/100 on Grammarly tone and deliverability checks. • Zero Zap errors across a 7-day test window. If you are comfortable mixing low-code Zapier builders with bespoke AI snippets and can demonstrate past work unifying CRM, e-commerce, and email platforms, I’m ready to get this live right away.