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By analyzing transcripts of board meetings, an AI agent can abstract the mental models of board members. This creates a 'board skill' that can be used to 'poke holes' and get simulated feedback on new strategies or pitch decks before presenting them.
Create a complex AI persona that acts as a personal "board of directors." Include real-world experts (e.g., Ben Thompson for strategy) and archetypes (a skeptic, an investor). Run your ideas and documents through this virtual board for multi-faceted, high-quality feedback before finalizing.
AI agents can synthesize vast amounts of internal communication, like meeting transcripts, to give leaders unprecedented visibility into their organizations. This allows them to identify latent conflicts, understand ground truth, and make perfectly timed, high-context interventions.
Instead of asking AI for answers, leaders can prompt it to be a "strategic thought partner" that asks critical questions one by one. This process helps refine strategies for board meetings by forcing the leader to anticipate and address tough questions about revenue impact and core business concerns.
A high-value AI use case is as a thought partner. Before a critical meeting, use an LLM to challenge your assumptions, find blind spots, and run scenarios. This lets you enter conversations with a well-formed perspective, leading to higher-quality decisions.
Build a skill that simulates your executive team based on their known goals and priorities stored in your AI's intelligence layer. This allows you to get critical feedback and find holes in your thinking before presenting, increasing your chances of success.
Advanced AI tools can model an organization's internal investment beliefs and processes. This allows investment committees to use the AI to "red team" proposals by prompting it to generate a memo with a negative stance or to re-evaluate a deal based on a new assumption, like a net-zero mandate.
Before a high-stakes meeting, train a large language model on transcripts of that executive's previous product reviews. You can then run your pitch or PRD through this custom AI to anticipate specific pushback, identify weaknesses in your proposal, and better prepare for the conversation.
Markup AI's CEO built AI profiles for figures like Steve Jobs. Before board meetings, he runs his deck by this "fantasy board" to get instant, diverse feedback, effectively bringing expertise into the room that isn't physically there.
Leverage AI to gain external perspectives without meetings. Prompt it to act as a specific persona—like a skeptical CEO, an enthusiastic user, or a New York Times reviewer—to critique your work. This reveals blind spots and strengthens your idea before sharing it.
A powerful use of AI is to simulate stakeholder perspectives by creating distinct personas, including contrarians. By asking these AI personas for their views on a strategy, leaders can quickly and efficiently identify their own blind spots and challenge their assumptions before committing to a decision.