Capacity

Capacity in professional services is the total hours a team can deliver in a given period, adjusted for leave, holidays, and non-billable obligations, representing the firm’s revenue ceiling. No matter how strong the pipeline is, the firm cannot bill more than its capacity allows.

The formula

Billable capacity = Headcount × Available hours per person × Target billable utilization

A team of 12 people averaging 168 available hours per month (after leave) at a 78% billable utilization target has a billable capacity of approximately 1,572 hours per month.

Types of capacity

Type	Description
Gross capacity	Total working hours before any adjustment
Net capacity	Gross capacity minus leave, holidays, and overhead
Billable capacity	Net capacity multiplied by target utilization
Committed capacity	Hours already assigned to confirmed engagements
Available capacity	Billable capacity minus committed capacity

Available capacity is the number to watch. It shows how much headroom exists before the next engagement fills the team.

Capacity vs. availability

Capacity is the theoretical maximum a team can deliver at a given utilization rate. Availability refers to specific resources who are currently unassigned or partially assigned. Availability is a subset of capacity and changes continuously as resource assignments are updated. A bench resource contributes to available capacity but not to committed capacity.

Capacity vs. demand

Capacity planning is the practice of closing the gap between what the team can deliver and what the pipeline requires.

• Capacity exceeds demand: the firm carries bench time. Revenue per person drops. The fix is pipeline development, faster proposal conversion, or redeployment.
• Demand exceeds capacity: the firm risks overdelivery, quality problems, and team burnout. The fix is hiring, subcontracting, or declining new work until capacity is available.

Both mismatches cost money. The goal is alignment between supply and demand, not maximization of one side.

Planning horizons

• 8 to 12 weeks out: the operational window. Match confirmed project demand against named resource assignments. Identify bench risk and overload by individual.
• 3 to 6 months out: the tactical window. Match pipeline forecasts weighted by probability against current headcount. Identify hiring needs before they become urgent.
• 6 to 18 months out: the strategic window. Model growth scenarios against the firm’s ability to recruit, train, and ramp new people.