WORKFLOW • Capacity sheet added · Jul 24, 2026
AI Video Team Capacity Plan: Estimate Credits for a Small Production Team
A single subscription can look adequate until several people begin generating at once. The issue is not only total credits: it is who is using them, which project has priority, and whether the team can still handle a late request. This capacity plan converts individual clip targets into a shared monthly operating limit that protects the work that matters most.
Forecast demand by project, not by person alone
Start with every active project and list the deliverable clips, target models, duration, and expected attempts per approved shot. Assign each project an owner and deadline, then total the credit requirement. Personal allowances can be useful later, but project demand comes first because a creator's experiments and a client deadline should not compete invisibly for the same finite balance. The forecast lets the team see which work is committed, exploratory, or waiting for approval.
Build one capacity sheet the team can recalculate
Give every project one row with these fields: owner, deadline, approved-clip target, expected attempts per approved clip, chosen model and duration, current credits per attempt, forecast credits, allocated pool, credits used, approved clips delivered, and forecast variance. Calculate forecast credits as approved-clip target × expected attempts per approved clip × current credits per attempt. Keep the provider rate editable and copy it from the current official pricing page because models, durations, and credit rules can change. The row should also state whether the work is committed delivery, controlled exploration, or reserve-backed. This makes capacity auditable: a producer can see whether a large number comes from more deliverables, more retries, or a more expensive generation setting. It also prevents the team from treating the subscription balance as a shared mystery that can only be understood after it is nearly empty.
Create three credit pools
Separate the monthly balance into committed delivery work, controlled exploration, and a protected reserve. Delivery work covers approved scope; exploration buys learning and testing without stealing from deadlines; the reserve handles production risk, last-minute changes, or a high-value opportunity. The exact percentages should follow the team's volatility, not a universal rule. What matters is that the reserve is visible and can only be used with an explicit decision, rather than disappearing through small untracked experiments.
Review burn rate before a project becomes urgent
Check actual usage on a fixed weekly cadence. Compare consumed credits with approved clips, not merely with calendar time. A project can look on schedule while its retry rate has already used half the monthly capacity. When usage is ahead of plan, decide early whether to simplify shots, shift to a lower-cost workflow, use a top-up, or defer nonessential exploration. Early decisions protect quality; late decisions usually force rushed prompts and poor approvals.
Use variance triggers instead of silent top-ups
At each review, recalculate the remaining forecast from the unfinished clip target, the latest observed attempts per approved clip, and the current provider rate. Compare that forecast with the credits still allocated to the project. If the project is forecast to exceed its pool, record one explicit decision before anyone buys more capacity: reduce scope, change model or duration, improve the approval brief, reallocate unused credits, authorize reserve use, or postpone the work. The team should choose its own trigger because a universal percentage would ignore project risk and provider rules. Record the decision, owner, and date in the same row so the next review can distinguish a planned exception from uncontrolled spend. A top-up can be one option, but the sheet should reveal it as a purchase decision rather than treating it as the automatic answer to weak forecasting.
Use the next month to right-size the plan
At the end of the cycle, compare forecast to actual by project: credit usage, approved clips, discarded attempts, and reserve use. If credits expire unused, the plan may be oversized or projects are not arriving as forecast. If the reserve is depleted repeatedly, the team may need a higher allowance or better scope control. This small operating record is more useful than a generic plan comparison because it reflects your own models, standards, and workflow.
Editorial note: This framework is general information, not a vendor endorsement. Check the current pricing, terms, and data-handling details directly with the provider before buying.