A founder used an AI agent to handle a multi-step due diligence request. The agent accessed the PostHog analytics platform, pulled a list of active users, formatted it into a Google Sheet, and then emailed selected users to ask if they'll serve as references, completing the task in minutes.

Instead of manually researching venture capital firms for fundraising, an AI agent can investigate dozens of targets simultaneously. It pulls data on fund size, relevant partners, investment theses, and recent social media activity, then organizes everything into a ready-to-use spreadsheet, saving weeks of analyst work.

The next frontier for AI in product is automating time-consuming but cognitively simple tasks. An AI agent can connect CRM data, customer feedback, and product specs to instantly generate a qualified list of beta testers, compressing a multi-week process into days.

A major hurdle for enterprise AI is messy, siloed data. A synergistic solution is emerging where AI software agents are used for the data engineering tasks of cleansing, normalization, and linking. This creates a powerful feedback loop where AI helps prepare the very data it needs to function effectively.

The evolution of AI in go-to-market moves beyond basic content generation (AI 1.0) to automating tedious coordination tasks like pulling lists and updating fields (AI 1.5). This frees human teams from low-leverage work to focus on high-level strategy and creative execution.

By building a custom AI assistant integrated into Salesforce, Personio dramatically increased its expansion SDRs' productivity. The tool consolidates customer information from over 10 systems, reducing daily research time from two hours to just 15 minutes and doubling the pipeline generated per employee.

An Executive Assistant at Zapier built an AI agent that automates her weekly meeting prep. The agent researches external attendees, checks the CRM and internal comms for context, and delivers a digest and tasks. This saves hours of manual work and ensures thorough preparation.

The entire workflow of transforming unstructured data into interactive visualizations, generating strategic insights, and creating executive-level presentations, which previously took days, can now be completed in minutes using AI.

A powerful AI use case is running automated agents on sales call transcripts. These agents can perform tasks like extracting and populating MEDPICC data into Salesforce or summarizing competitor mentions for battle cards, saving sales teams hours of manual work per week.