Build AI Systems That Save 10+ Hours Per Week

A 6-week live implementation lab for operators — not AI hype

Why Sign Up?


Who This Is For:
Product, Growth, Ops, Startups, Consultants…
Who This Is NOT For:
Beginners, prompt collectors, casual AI hobbyists

The Problem

If AI isn’t saving you 10+ hours per week, you’re using it wrong.
Most operators:
• Still manually compile reports
• Still summarize meetings by hand
• Still update dashboards manually
• Still rewrite similar emails daily
AI Systems Lab fixes that.

What You’ll Build

An automated reporting workflow (≈ 2–3 hrs saved weekly)
• A meeting/task AI copilot (≈ 4–6 hrs/day saved)
• A recurring workflow automation system (≈ 2–4 hours saved per week)
• A decision-support dashboard (≈ 1–2 hours saved per week)
• A reusable AI workflow template library
Each system designed to eliminate 10+ hours/week of repetitive work.

Structure

6 Live Sessions (Saturdays)
→ Structured implementation with measurable build milestones each week
8:00–9:30 AM IST
→ Focused morning execution before work distractions begin
WhatsApp accountability group
→ Ongoing support, implementation nudges, and peer momentum between sessions
Templates included
→ Ready-to-deploy AI workflow blueprints you can customize immediately
Live Q&A
→ Real-time troubleshooting to eliminate blockers and refine your systems

Who This Is For

Product Managers
→ Tired of manually compiling reports, PRDs, summaries, and roadmap updates
Growth / Revenue Leads
→ Want automated lead tracking, campaign reporting, and follow-up workflows
Operations Leaders
→ Looking to eliminate repetitive status tracking, coordination, and reporting tasks
Startup Founders
→ Who want leverage without hiring more headcount for operational work
Consultants
→ Who want faster delivery, automated insights, and reusable workflow systems

About the Trainer

28 Feb – 07 Apr
for ₹65999 ₹9999 only (Save 85%)
Limited to the first 10 bookings only! Last few seats left
Praveen is an IIT Bombay and IIM Bangalore alumnus with almost 19 years of work experience implementing deep marketing insights and delivering growth and digital transformation for several leading brands in e-commerce, ed-tech and health-tech sectors

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