Before engaging expensive experts like lawyers or accountants, use AI to do preliminary work. You can draft initial documents, analyze data, or formulate questions. This prepares you for a more productive conversation, saving time and money while ensuring you still rely on the human expert for final verification and strategy.
Related Insights
To save time with busy clients, create a "synthetic" version in a GPT trained on their public statements and past feedback. This allows teams to get work 80-90% of the way to alignment internally, ensuring human interaction is focused on high-level strategy.
Go beyond using AI for data synthesis. Leverage it as a critical partner to stress-test your strategic opinions and assumptions. AI can challenge your thinking, identify conflicts in your data, and help you refine your point of view, ultimately hardening your final plan.
Instead of viewing AI collaboration as a manager delegating tasks, adopt the "surgeon" model. The human expert performs the critical, hands-on work while AI assistants handle prep (briefings, drafts) and auxiliary tasks. This keeps the expert in a state of flow and focused on their unique skills.
Go beyond using AI for research by codifying your North Star, OKRs, and strategic goals into a personalized AI agent. Before important meetings, use this agent as a 'thought partner' to pressure-test your ideas, check for alignment with your goals, and identify blind spots. This 10-minute exercise dramatically improves meeting focus and outcomes.
To get higher-quality input from busy medical experts, use specialized AI tools like Consensus.app to review scientific literature first. Then, present your tentative conclusions to the professional, demonstrating you've done the preliminary work, which encourages a more thoughtful and detailed response.
