How AI transforms a CEO’s daily routine

Allie K. Miller, president of Open Machine—a consulting firm specializing in AI-driven digital transformation—explained in interviews with Business Insider, Inc. and Yahoo Finance how 34 autonomous AI agents organize her daily life. These programs perform predefined tasks without constant intervention, allowing the machine to work while she sleeps.

Morning screening and continuous monitoring

According to Miller, her day starts around 8 a.m. For the first hour and a half, she enters what she calls “screening mode,” reviewing alerts generated by the agents. During this time, the systems prepare summaries of urgent emails received overnight, create a briefing of the day’s agenda, and suggest break times.

Some agents act as “workflow guards,” monitoring activities in real time and notifying when human decisions are needed. Examples include monitoring Slack channels to prevent task duplication between teams. The monthly cost of this workforce is estimated at around $200.

“When you wake up, your AI should already have been working for you for hours.” — Allie K. Miller, CEO of Open Machine

Advice from synthetic personas to test decisions

Miller uses synthetic personas—AI-created profiles that simulate the perspectives of skeptical customers or financial directors—to evaluate drafts of newsletters and strategic proposals. Currently, eight personas analyze texts intended for the public, while a council of six AI personas discusses internal issues, offering opinions before decisions are brought to real employees.

Offline routine and delegable tasks

Outside the digital environment, Miller uses AI assistants’ voices during low-attention activities, such as applying makeup, and takes walks throughout the day. She works out with a personal trainer once a week and frequently uses a treadmill. Every Thursday, an agent sends her a list of unusual events in New York, and on weekends she commits to doing at least one activity outside her comfort zone.

Tasks that can already be delegated include email screening, briefing preparation, generation of recurring reports, and project monitoring. Miller recommends that professionals ask their own AIs to make automation ideas “more proactive, with responsible autonomy and action-oriented focus.”

Conclusion

Miller’s experience demonstrates how the combination of autonomous agents, synthetic personas, and process automation can free up time for strategic and personal activities, redefining the relationship between leaders and technology in the corporate environment.