How should our leadership team use AI tools during quarterly planning to pressure-test our strategic assumptions and Rock capacity before committing to them?

Question

Tyler Smith · Accepted Answer

Most leadership teams build quarterly Rocks based on optimism rather than capacity. Executives leave their quarterly offsite energized, only to realize forty-five days later that their Rocks are mathematically impossible to complete alongside daily operations.

You can eliminate this planning blind spot by using AI tools to stress-test your assumptions before finalizing your quarterly plan.

During the Rock-setting phase of your quarterly offsite, take your drafted Rocks and input them into a private, secure large language model along with your current Scorecard numbers, headcount constraints, and past quarterly completion rates. Prompt the tool to act as an adversarial private equity operating partner. Task it with identifying:
- Hidden operational dependencies between departments that the team has overlooked.
- Resource bottlenecks where multiple Rocks require the same key employees or systems.
- Unrealistic milestones based on historical team velocity.

Use the AI output as immediate fuel for IDS®. If the analysis reveals that your marketing, product, and sales Rocks all depend on an overburdened engineering team, do not ignore the warning. Challenge the leaders in the room to either re-sequence the projects, strip out lower-value deliverables, or reassign ownership.

Furthermore, prompt the tool to generate worst-case scenario stress tests against your revenue and margin assumptions for the quarter.

AI does not make strategic decisions for your leadership team; your leaders must own the final commitments. However, using automated tooling to expose blind spots prevents executive wishful thinking. It ensures your leadership team commits to a realistic, high-impact quarterly plan that drives actual Traction®.