**Say goodbye to repetitive tasks and hello to rapid, scalable productivity. In this concise 45-minute workshop, you'll discover the "Map → Instrument → Iterate" framework, transforming messy startup processes into clear, measurable workflows primed for AI-powered automation. Learn how to define actionable KPIs, pinpoint automation-ready steps, and leave with a workflow blueprint you can implement tomorrow.**

**Fabio Pelosin is a technologist and strategist operating at the intersection of deep engineering and business execution. With a foundation from Bocconi University, the elite CEMS MiM program, and MIT Sloan + CSAIL executive education in AI strategy, he specializes in translating complex systems into practical, scalable business outcomes.**
**His work spans industrial automation, IoT systems, large-scale enterprise platforms, and mobile apps used by millions. He co-authored CocoaPods, the dependency manager powering over three million iOS apps, helping shape modern mobile development practices.**

**At Amazon, Fabio spent seven years turning experimental ideas into production platforms built to scale across retail, leading engineering on both foundational infrastructure and customer-facing innovations.**
**A long-time advocate for practical AI, Fabio now helps small and medium-sized businesses deploy AI agents and automation with the same engineering rigor as the world's leading tech companies.**

Startup Investor Accelerator Portugal

Mossy Ventures

Career & Business

Professional Networking

Venture Capital

Startup Businesses

Lean Startup

Angel Investing

Startup Incubation

Technology Startups

Internet Startups

Entrepreneurship

Magda Prichodko

Ofir Avny

David Clark

Francisco Duarte Coelho

Diana Cunha

Stuart Megarry

Pavel Novikov

From Chaos to Clarity: Agentic AI Workflows for Startup Founders

Funders and Founders

Seed Funding

Online event

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Startup Investor Accelerator Portugal

From Chaos to Clarity: Agentic AI Workflows for Startup Founders

Startup Investor Accelerator Portugal

Details

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