A carefully crafted prompt transformed ChatGPT from a conversational AI into a structured advisory panel, producing responses that surprised even its creator with their clarity and strategic insight. The experiment revealed unexpected strengths in role-playing complex decision-making scenarios.
The test began with a simple directive: act as a board of advisors for a fictional company facing operational challenges. ChatGPT quickly assumed multiple personas—finance, operations, marketing—and generated detailed recommendations. What stood out was not just the volume of advice but its coherence and depth, suggesting the model could handle nuanced business simulations better than anticipated.
That’s the upside—here’s the catch. While the responses were impressive in structure and logic, they lacked real-world context or domain-specific expertise. For example, financial recommendations followed textbook theories rather than current market dynamics. The AI also struggled with follow-up questions that required iterative refinement of its own advice.
Small businesses evaluating AI tools for strategic planning should weigh these tradeoffs. On one hand, ChatGPT can rapidly generate frameworks and brainstorming material. On the other, it cannot replace human advisors in high-stakes scenarios where experience and up-to-date knowledge are critical.
The experiment also exposed limitations in maintaining consistent personas across extended conversations. While the initial advisory session was fluid, subsequent interactions sometimes deviated from assigned roles, indicating room for improvement in sustained role-playing.
For now, ChatGPT’s advisory capabilities remain best suited as a thought-partner for ideation rather than execution. Pricing and availability for such specialized use cases are not yet clear, but the underlying potential suggests this could evolve into a valuable tool for small teams looking to simulate board-level discussions without the cost.
