How AI Automation Transforms Complex Workflows: Insights from Alberto Rizzoli, CEO & Co-Founder of V7

In this episode of Product Led Growth Leaders, host Thomas Watkins sits down with Alberto Rizzoli, CEO and Co-Founder of V7, to unpack how AI-native automation can streamline the complex, unstructured workflows that slow product teams down. From documents and images to lengthy pitch decks and scientific visuals, Alberto explains how organizations can use AI to reduce operational friction, improve traceability, and accelerate growth. This conversation offers product and engineering leaders a clear lens into the future of workflow automation.

Redesigning Workflow Automation for the AI Era

Alberto emphasizes a fundamental truth: even the most advanced AI cannot intuitively understand your workflow without structure. While tools like ChatGPT are useful for simple tasks, they fall short when teams need consistency, accuracy, and step-by-step logic. V7 addresses this by enabling leaders to design AI-native workflows through a spreadsheet-like system, where each cell represents a rule, step, or AI action. This model allows teams to operationalize domain expertise, handle edge cases with clarity, and ensure outputs remain fully auditable.

For product-led teams working across insurance, finance, healthcare, and research, this approach creates a reliable foundation for scaling operations. V7 supports complex processes such as analyzing pitch decks, extracting data from scientific images, and automating document review. Each workflow maintains visual grounding—meaning every AI-generated output links back to its exact source—giving leaders confidence in accuracy and compliance. This level of traceability is essential for organizations managing high volumes of unstructured data.

Ultimately, Alberto encourages teams to focus first on repetitive, high-impact workflows that drain time and slow decision-making. By mapping out each step and identifying where AI can provide structure, teams can create automation systems that grow more efficient over time. The result is a significant reduction in manual work, improved reliability across processes, and greater capacity for innovation—all aligned with the principles of product-led growth.

About Alberto Rizzoli

Alberto Rizzoli is the CEO and Co-Founder of V7, a leading platform for AI-native workflow automation. His work focuses on helping organizations transform how they handle complex, unstructured data at scale.

About V7

V7 provides an AI-native automation platform designed to execute multi-step workflows involving documents, images, video, and scientific data—delivering accuracy, consistency, and visual traceability for teams across industries.

Links Mentioned in This Episode

• V7 Website

• Alberto Rizzoli LinkedIn Profile

Key Episode Highlights

• How AI-native workflows bring structure and reliability to multi-step processes

• Why visual grounding is essential for accuracy and auditing

• Examples of automation in insurance, investment analysis, and scientific imaging

• How to identify workflows worth automating for measurable ROI

• The role of AI in enabling product-led teams to scale with confidence

Conclusion

This episode offers a practical roadmap for leaders who want to reduce operational complexity and elevate their product strategy with AI. Alberto’s insights show how workflow automation—when paired with the right structure—can unlock exponential value, freeing teams to focus on higher-level strategy and innovation.

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