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If you manage recurring clients, reporting can quietly consume hours every month. In this video, I walk through the exact system I use to build a client reporting workflow using AI tools — from raw performance data to structured executive summaries, formatted reports, and automated delivery. This is not about shortcuts. It’s about redesigning the reporting process so repetitive production work is reduced without lowering quality. You’ll see: • How to structure raw performance data using AI • How to generate executive summaries with constraint-based prompts • How to draft consistent report sections across clients • How to use templates to standardize formatting • How to automate CRM updates and delivery using Zapier • How to reduce reporting time from 3–5 hours to ~60–90 minutes This workflow works for: Agencies Consultants Freelancers Marketing teams Growth operators Small business owners ________________________________________ 🛠 Tools Mentioned ChatGPT Claude Midjourney DALL·E Zapier Notion ________________________________________ If you want to build internal AI systems that reduce operational overhead — not just experiment with tools — this channel focuses on practical implementation. In the next video, I’ll break down one of these layers step by step, including the exact prompt structure and automation setup. Subscribe if you’re building structured AI workflows — not chasing trends.