A CEO overseeing 40 general managers replaced monthly operating reviews with 20-minute video updates. He feeds the transcripts into a custom AI agent trained on the company playbook to instantly identify key issues and revenue shortfalls. This transforms the review process from data gathering to rapid problem-solving.

Writing detailed documentation is a task most employees avoid. By recording a quick video walkthrough of a process (e.g., how to pull a report), that video can be shared, referenced, and then automatically transcribed by AI into a structured SOP, eliminating the friction of manual writing.

The most valuable data for training enterprise AI is not a company's internal documents, but a recording of the actual work processes people use to create them. The ideal training scenario is for an AI to act like an intern, learning directly from human colleagues, which is far more informative than static knowledge bases.

To find tasks ripe for AI automation, simply screen record yourself performing a repetitive, hour-long task. Then, upload the video to a multimodal LLM like Gemini 3 and ask it what parts can be automated and how much time you could save. This provides concrete, actionable suggestions.

To build coordinated AI agent systems, firms must first extract siloed operational knowledge. This involves not just digitizing documents but systematically observing employee actions like browser clicks and phone calls to capture unwritten processes, turning this tacit knowledge into usable context for AI.

To begin automating work with AI, record yourself performing a task on video (e.g., using Loom) while narrating the process. An AI can then analyze the transcript to identify the repeatable steps and logic, which forms the basis for building a custom, automated "skill" that mirrors your workflow.

The computer serves as a universal actuator for human work across diverse environments. This makes screen recordings an existing, large-scale dataset perfectly suited for pre-training base models for agency. This approach aims to create a foundational model for action by replicating human input (keystrokes, mouse moves) and output.

Overcome the hurdle of documenting processes by recording a screen-share video of yourself performing a task while talking through the steps. AI tools can then automatically convert the recording into a written playbook, eliminating the need to set aside dedicated writing time.

A specialized AI 'skill file' can analyze a recording or transcript of your work and generate a detailed report. This report outlines your current process, identifies pain points, proposes an AI-first alternative, and estimates time and cost savings, effectively acting as an on-demand transformation consultant.