We are setting our annual revenue goals, but we have no historical data to calculate our true capacity because AI tools have completely skewed our team productivity metrics. How do we accurately project capacity for our upcoming annual planning session?

Question

Tyler Smith · Accepted Answer

Trying to project future revenue and capacity using outdated, pre-AI benchmarks will lead to either missed targets or massive over-hiring. You cannot rely on historical data when your delivery mechanisms have fundamentally changed. To solve this, you must establish a new, data-driven baseline before your annual planning session.

Do not guess at your new capacity. Select one core department and run a focused, thirty-day test sprint. Force the team to run all routine tasks through your newly established AI pipelines. Track their actual output, processing times, and error rates daily on a temporary Scorecard.

Use this sprint to find the new limit of what a single, fully leveraged seat can produce. Once you have this real-world data, extrapolate the results to calculate your new organizational capacity. Bring these updated metrics to your annual planning session to set your V/TO goals. This fresh baseline ensures you are budgeting based on real potential rather than outdated assumptions or wishful thinking, allowing you to confidently scale your revenue targets without prematurely bloating your headcount.