Executives Build AI Chiefs of Staff to Drive Organizational AI Adoption

In a world increasingly saturated with AI tools, the true competitive advantage lies not in adopting the latest software, but in deeply understanding and personally integrating AI into one's workflow. Rachel Wolan, CPO at Webflow, demonstrates this powerfully by building a custom AI Chief of Staff. This isn't about delegating tasks to a pre-built assistant; it's about a hands-on, iterative process of creating a personalized AI that forces a deeper engagement with AI's capabilities. The hidden consequence revealed is that the most profound AI adoption doesn't come from mandates, but from executives leading by example, building their own tools, and then fostering a culture of experimentation through initiatives like "builder days." Those who embrace this personal, hands-on approach will gain a nuanced understanding of AI's potential and limitations, positioning them to lead their organizations more effectively in the AI era, while those who merely observe risk falling behind.

The Executive's AI Sandbox: Building a Personal Chief of Staff

The narrative around AI adoption often centers on the individual contributor--the AI-native engineer or product manager. But what about the executive? Rachel Wolan, CPO at Webflow, offers a compelling counter-narrative: the AI-native executive who not only uses AI but builds with it. Her journey back to coding, spurred by the advent of generative AI, led to the creation of a personal AI Chief of Staff. This isn't a polished SaaS product, but a hyper-customized tool born from necessity, designed to manage her calendar, triage emails, and even provide "brutal truth" feedback. The real insight here isn't just about personal productivity; it's about how this hands-on building process cultivates a unique, deep understanding that informs strategic decisions and, crucially, authentic leadership in driving AI adoption across an entire organization.

"I started coding when I was 16 and you know it's obviously been kind of a lifelong journey of building and tinkering and you know making mistakes and so I feel like I I kind of built that resiliency pretty early in life and now uh in my my current role you know I probably hadn't coded in about you know six or seven years and then when all of the new app gen tools came out I think lovable is like one year old now um I was like hey I'm gonna try this out and you know it was it felt magical right."

-- Rachel Wolan

Wolan’s AI Chief of Staff acts as a crucial filter for her demanding schedule. It analyzes her calendar, identifying meetings that could be made asynchronous or delegated, and flags potential clutter. This isn't just about saving time; it’s about regaining control and ensuring her focus aligns with strategic priorities. The system, built using API tokens for Google Calendar and Gmail, operates with carefully defined guardrails, reflecting a thoughtful approach to AI's agency. This personal sandbox allows for rapid iteration, a stark contrast to the often slower pace of enterprise software development. The ability to create ephemeral widgets and custom interfaces, like the "note card" for daily priorities, highlights how personalized software can inject both efficiency and personal satisfaction into the executive workflow.

"The brutal truth is that I'm like, yep, it's kind of being a senior PM sometimes sounds more fun than being I know I'm like, is that bad? Is that a bad thing? So for those again who are not watching, the brutal truth is you're operating as a senior PM, not a CPO. You're reviewing PRDs, approving scripts, and recording marketing videos. I mean, they're coming straight to spade. This is the behind the curtain stuff."

-- Rachel Wolan

This "brutal truth" feedback mechanism is particularly potent. By prompting her AI to be critical, Wolan gains an objective, albeit harsh, assessment of how her time is actually spent. This self-awareness is invaluable for any executive, especially in roles where the line between strategic leadership and operational execution can blur. The AI’s candid assessment--that she’s operating more like a senior PM than a CPO--serves as a powerful catalyst for re-evaluation. This level of introspection, facilitated by her custom tool, directly informs her understanding of where AI can augment, rather than just automate, executive functions.

The application extends to email triage, where the AI helps archive irrelevant messages and drafts responses to important ones. While the Slack integration remains a work in progress due to data volume, the principle is clear: AI can tackle the overwhelming tide of communication that characterizes modern executive life. Furthermore, the AI’s ability to prep for events, like networking dinners, by analyzing guest lists and relevant web information, showcases a sophisticated application of context-aware AI. By feeding the AI personal context--product release notes, communication styles, personal resources--Wolan creates a system that not only retrieves information but synthesifies it into actionable intelligence. This personalized approach, using Markdown files as a knowledge base, offers a glimpse into a future where personal data can be leveraged securely and effectively for professional gain.

"I think that the biggest outcome for me has been number one been really being like close to the metal in terms of like building out AI products and I am the one that is like you know able to have very very detailed conversations like for example I didn't get a chance to this morning but I'm going to go and start using Gemini 3 um as part of this app and there's certain types of it's gotten me very close to our codebase as well."

-- Rachel Wolan

The impact of building this personal AI Chief of Staff extends beyond mere time savings. It has provided Wolan with a deep, hands-on understanding of AI development, enabling more nuanced conversations about AI strategy and even providing insights into Webflow's own codebase through tools like CodeX. This intimate engagement with AI development is precisely what allows her to lead by example, fostering a culture of experimentation and adoption within her organization. The "builder days" initiative, where teams pause their regular work to build AI prototypes, is a direct outgrowth of this philosophy. By reducing friction, providing access to tools, and fostering a fun, competitive environment with prizes, these events drive adoption not through mandates, but through shared experience and demonstrated possibility. The feedback--empowering, motivating, and eye-opening--underscores the transformative power of getting hands-on with AI, turning skepticism into fluency and positioning organizations for sustained AI integration.

Key Action Items

• Immediate Action (Next 2 Weeks): Identify one repetitive task in your daily workflow (e.g., meeting prep, email sorting) and explore building a simple AI agent to assist with it, even if it's just a few prompts in a dedicated chat window.
• Immediate Action (Next Month): Experiment with using Markdown files as a structured way to store personal context (e.g., key project details, personal communication guidelines) that could be referenced by AI tools.
• Short-Term Investment (Next Quarter): Dedicate time to exploring AI coding tools (like Claude Code or Cursor) by building a small, personal project, focusing on understanding the development process rather than immediate utility.
• Short-Term Investment (Next Quarter): Initiate a "builder day" or "hackathon" within your team or department, focusing on rapid prototyping with AI tools, providing access, basic education, and a forum for sharing results.
• Mid-Term Investment (Next 6-12 Months): Re-evaluate your team's career ladders and performance frameworks to explicitly include AI fluency, tool adoption, and a culture of experimentation, not just as a bonus but as a core competency.
• Long-Term Investment (12-18 Months): Develop a strategy for integrating AI into core business processes, moving beyond individual productivity gains to systemic improvements, informed by the hands-on learning gained from personal AI projects.
• Ongoing Practice: Actively seek out and solicit "brutal truth" feedback, whether from an AI assistant or a trusted peer, to ensure your focus remains aligned with strategic priorities and to identify areas for personal and professional growth.