Remove Generative AI Remove Leadership Remove Operational efficiency.
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Where AI Really Matters in Vertical SaaS With CEOs of Owner, Alloy Automation, and DoNotPay

SaaStr

Activant Capital brought together at SaaStr Annua l a group of break-out next-generation AI enhanced vertical software leaders: the CEOs from Owner.com, Alloy Automation, and DoNotPay. At SaaStr Annual they shared their experiences and insights on implementing AI in vertical software companies.

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Beyond Buzzwords: Real-World AI Applications for Business Leaders

How To Buy Saas

Executives also leverage generative AI for idea generation and reporting. In one retail example, a CEO might use an AI tool to draft a summary of key performance metrics or ask a virtual assistant to highlight emerging market trends. Unlike simple scripts, intelligent automation systems learn and adapt.

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Top Product Manager Roles at Data-Driven Companies (+Candidate Spotlight)

User Pilot

A person comfortable with data operations for ML AI projects. A person without a formal leadership title. 10+ years of experience in consulting, operations, or project management. Background working with annotated data and/or leveraging generative AI in products is a plus.

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Top Retention and Churn Product Manager Roles (+ Candidate Spotlight)

User Pilot

This role is pivotal in creating the most engaging creative tools for users, with a focus on drawing, playing, and the innovative use of generative AI. Someone who thrives in cross-functional environments and can influence senior leadership through data-driven insights. Who would be a bad fit for this job?

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Operationalizing AI: A Strategic Framework for Enterprise-Wide Success

Valuize Consulting

From AI Experimentation to Enterprise-Wide Adoption In 2025, executive priorities are shiftingfrom AI experimentation to enterprise-wide adoption. While generative AI has been widely tested in uncoordinated, department-level pilots, the focus now is on systematic integration to drive efficiency and business impact.

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